CN111965970A - Control parameter self-tuning method, device and system - Google Patents

Control parameter self-tuning method, device and system Download PDF

Info

Publication number
CN111965970A
CN111965970A CN201910419286.XA CN201910419286A CN111965970A CN 111965970 A CN111965970 A CN 111965970A CN 201910419286 A CN201910419286 A CN 201910419286A CN 111965970 A CN111965970 A CN 111965970A
Authority
CN
China
Prior art keywords
self
control parameter
tuning
equipment
ground station
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910419286.XA
Other languages
Chinese (zh)
Other versions
CN111965970B (en
Inventor
陶茂升
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Hikvision Digital Technology Co Ltd
Hangzhou Hikrobot Co Ltd
Original Assignee
Hangzhou Hikrobot Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Hikrobot Technology Co Ltd filed Critical Hangzhou Hikrobot Technology Co Ltd
Priority to CN201910419286.XA priority Critical patent/CN111965970B/en
Publication of CN111965970A publication Critical patent/CN111965970A/en
Application granted granted Critical
Publication of CN111965970B publication Critical patent/CN111965970B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/024Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a parameter or coefficient is automatically adjusted to optimise the performance

Abstract

The invention discloses a method, a device and a system for controlling parameter self-tuning, and the scheme of the invention comprises the following steps: receiving a self-tuning starting instruction sent by a ground station; selecting a new control parameter according to the self-tuning starting instruction; configuring equipment to be set according to the new control parameters; after configuration is completed, indicating image acquisition equipment carried on equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification; and when a verification success command fed back by the ground station is received, self-setting is completed, so that the time for the unmanned aerial vehicle or the holder to wait for debugging of setting equipment can be saved and the working timeliness is improved based on the technical scheme.

Description

Control parameter self-tuning method, device and system
Technical Field
The invention relates to the technical field of control, in particular to a control parameter self-tuning method, a control parameter self-tuning device and a control parameter self-tuning system.
Background
Before the unmanned aerial vehicle leaves the factory and sells, in order to meet the factory standards, or before a user starts using the unmanned aerial vehicle, in order to make the shooting effect better, the unmanned aerial vehicle or the control parameters of the equipment such as a cradle head mounted on the unmanned aerial vehicle are usually adjusted and debugged.
At present, the control parameters of the unmanned aerial vehicle or the cradle head are adjusted manually, but the manual adjustment of the control parameters of the unmanned aerial vehicle or the cradle head is time-consuming and labor-consuming, and the working efficiency is not high.
Disclosure of Invention
One embodiment of the invention provides a control parameter self-tuning method, which saves manual fine tuning and debugging time and improves working efficiency by automatically tuning control parameters, and comprises the following steps:
receiving a self-tuning starting instruction sent by a ground station;
selecting a new control parameter according to the self-tuning starting instruction;
configuring equipment to be set according to the new control parameters;
after configuration is completed, indicating image acquisition equipment carried on equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification;
and when a verification success command fed back by the ground station is received, completing self-tuning.
Optionally, the selecting a new control parameter includes:
selecting a plurality of control parameters;
aiming at each selected control parameter, configuring equipment to be set according to the control parameter;
determining a performance index function value corresponding to the control parameter according to the configured actual attitude angle of the equipment to be set, wherein the performance index function value is used for indicating the stability of an angle error between the actual attitude angle and an expected attitude angle of the equipment to be set;
and selecting the control parameter corresponding to the minimum performance index function value as the new control parameter.
Optionally, the selected plurality of control parameters satisfy:
and sequencing the plurality of control parameters according to the numerical values, wherein the absolute values of the differences between any two adjacent sequenced control parameters are the same, and the absolute values of the differences are in positive correlation with the default control parameters of the equipment to be set and in negative correlation with the number of the selected plurality of control parameters.
Optionally, the selecting a control parameter corresponding to the minimum performance index function value as the new control parameter includes:
comparing the minimum performance index function value with a fixed threshold value, wherein the fixed threshold value is the performance index function value corresponding to the default control parameter of the equipment to be set;
and if the minimum performance index function value is smaller than the fixed threshold, selecting the control parameter corresponding to the minimum performance index function value as the new control parameter.
Optionally, after comparing the minimum performance indicator function value with a fixed threshold, the method further comprises:
and if the minimum performance index function value is larger than the fixed threshold, terminating the self-setting.
Optionally, after the self-tuning is completed, the method further includes:
and storing the new control parameters, so that the equipment to be set configures itself according to the stored new control parameters after the equipment to be set is started next time.
Optionally, the method further comprises:
and when receiving a verification unsuccessful command fed back by the ground station, returning to execute the step of selecting a new control parameter according to the self-tuning command.
In another embodiment of the present invention, there is provided a control parameter self-tuning apparatus including:
the first receiving module is used for receiving a self-tuning starting instruction sent by the ground station;
the setting module is used for selecting a new control parameter according to the self-setting starting instruction;
a configuration module for configuring the equipment to be set according to the new control parameters,
the verification module is used for indicating image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification after the configuration is finished;
and the second receiving module is also used for completing self-tuning after receiving a verification success command fed back by the ground station.
In another embodiment of the invention, a drone system includes: an unmanned aerial vehicle, a ground station and a cradle head;
the unmanned aerial vehicle is in communication connection with the ground station and the holder respectively;
wherein: the cloud platform or the unmanned aerial vehicle is used for:
receiving a self-tuning starting instruction sent by a ground station;
selecting a new control parameter according to the self-tuning starting instruction;
configuring the equipment to be set according to the new control parameters, and after configuration is completed, indicating image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification; the equipment to be set comprises a holder and/or an unmanned aerial vehicle;
and when a verification success command fed back by the ground station is received, completing self-tuning.
In another embodiment of the invention, a non-transitory computer readable storage medium storing instructions, characterized in that the instructions, when executed by a processor, cause the processor to perform the steps of the control parameter self-tuning method as described in the above embodiment.
In another embodiment of the present invention, an electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the control parameter self-tuning method according to the above embodiment.
According to the scheme of the invention, the time for debugging the equipment to be set can be saved by the method for controlling the parameter self-setting, wherein the equipment to be set can be an unmanned aerial vehicle or an image stabilizing part of the unmanned aerial vehicle, such as a holder carried on the unmanned aerial vehicle.
In addition, by the control parameter self-tuning method, before the unmanned aerial vehicle product leaves the factory or before a user uses the unmanned aerial vehicle product, the unmanned aerial vehicle can be rapidly and automatically tuned and debugged so as to judge the image stabilizing effect of the unmanned aerial vehicle, the time for manually refining the tuning and debugging is saved, and the working efficiency is improved.
Simultaneously, owing to can be before the unmanned aerial vehicle product dispatches from the factory, do further debugging setting to the unmanned aerial vehicle product fast, reduced because of the unmanned aerial vehicle body, cloud platform shock-absorbing structure to and the holistic not good problem of steady image effect of unmanned aerial vehicle product that the individual difference nature of parts such as cloud platform arouses, effectively reduce the product and return the factory cost, promote the product yields of dispatching from the factory.
Drawings
Fig. 1 is a schematic diagram of an application scenario of an unmanned aerial vehicle system to which a control parameter self-tuning method is applied in an embodiment of the present invention;
FIG. 2 is a flow chart of a method of controlling parameter self-tuning in accordance with an embodiment of the present invention;
FIG. 3 is a flow chart of a method of selecting a new control parameter in the method of FIG. 2;
FIG. 4 is a flowchart of a method for selecting a control parameter corresponding to a minimum performance indicator function value as a new control parameter in the method shown in FIG. 3;
FIG. 5 is a flow chart of a further extension of the method shown in FIG. 2;
FIG. 6 is a flow chart of a further extension of the method shown in FIG. 2;
FIG. 7 is a schematic structural diagram of an apparatus 700 for controlling parameter self-tuning according to an embodiment of the present invention;
fig. 8 is a block diagram of an electronic device 800 in some embodiments of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below by referring to the accompanying drawings and examples.
In an embodiment of the present invention, please refer to fig. 1, and fig. 1 is a schematic diagram of an application scenario of an unmanned aerial vehicle system applying a control parameter self-tuning method in an embodiment of the present invention. The unmanned aerial vehicle system 10 mainly includes an unmanned aerial vehicle 1, a ground station 2, and an image capturing apparatus 3. The ground station 2 and the unmanned aerial vehicle 1 can realize communication connection through a data transmission and image transmission antenna to perform data transmission and image transmission.
In addition, unmanned aerial vehicle system 10 can also include cloud platform 4, and cloud platform 4 carries in unmanned aerial vehicle 1, can fix unmanned aerial vehicle's image acquisition equipment 3 and for image acquisition equipment 3 increases steadily to make image acquisition equipment 3 also can shoot stable smooth picture under the motion condition. Communication connection can also be realized between unmanned aerial vehicle 1 and cloud platform 4, carries out data transmission and image transmission.
The ground station 2 may be configured to send an instruction to the drone 1 and receive data or image information fed back by the drone 1, and specifically, the ground station 2 may be a remote controller or a handheld intelligent communication device installed with application software, such as a mobile device like a mobile phone or a PAD).
For example, the ground station 2 may send a start self-tuning instruction sent by the ground station 2 to the unmanned aerial vehicle 1, the unmanned aerial vehicle 1 transmits the instruction to the pan/tilt head 4, and the unmanned aerial vehicle 1 may receive information fed back by the pan/tilt head 4 and transmit the information to the ground station 2. The type of the pan/tilt head 4 may not be limited, for example, the pan/tilt head 3 may be a two-axis pan/tilt head, a three-axis pan/tilt head, or the like.
According to the embodiment of the invention, the control parameters of the unmanned aerial vehicle and/or the cradle head can be self-adjusted through the interaction among the unmanned aerial vehicle 1, the ground station 2 and the cradle head 4, so that the flutter phenomenon of an aerial image of the unmanned aerial vehicle is improved.
The embodiment of the present invention may have various implementation manners, and some of the implementation manners are described as follows:
in an embodiment of the present invention, the self-tuning process may be implemented on the pan/tilt head 4, and the device to be tuned may be the unmanned aerial vehicle 1 and/or the pan/tilt head 4, for example:
the ground station 2 is used for sending a self-tuning starting instruction to the unmanned aerial vehicle 1;
the unmanned aerial vehicle 1 is used for forwarding a received self-tuning starting instruction from the ground station 2 to the holder 4;
the cloud deck 4 is used for carrying out self-tuning on the control parameters of the unmanned aerial vehicle 1 and/or the cloud deck 4 according to the starting self-tuning instruction, and the self-tuning process comprises the following steps: selecting a new control parameter according to the starting self-tuning instruction; configuring the unmanned aerial vehicle 1 and/or the pan-tilt 4 according to the new control parameters; after the configuration is finished, instructing image acquisition equipment 3 carried on the unmanned aerial vehicle 1 and/or the pan-tilt 4 to acquire (continuous or discontinuous) image sequences, and transmitting the acquired image sequences to a ground station 2 through the unmanned aerial vehicle 1 for verification; and when a verification success command fed back by the ground station 2 and sent by the unmanned aerial vehicle 1 is received, self-tuning is completed.
In particular, with reference to fig. 1, the application of the control parameter self-tuning method in the drone system 10 will now be described in detail. This unmanned aerial vehicle system 10 includes unmanned aerial vehicle 1, ground satellite station 2, image acquisition equipment 3 and cloud platform 4, and unmanned aerial vehicle 1 can respectively with ground satellite station 2, cloud platform 4 communication connection.
Wherein, can realize communication connection between unmanned aerial vehicle 1, the ground satellite station 2, can carry out data transmission and image transmission.
The ground station 2 may be configured to send an instruction to the drone 1 and receive data or image information fed back by the drone 1, and specifically, the ground station 2 may be a remote controller or a handheld intelligent communication device.
Communication connection can be realized between cloud platform 4 and unmanned aerial vehicle 1, and cloud platform 4 can receive the instruction information of unmanned aerial vehicle 2 transmission, and wherein, cloud platform 4 carries in unmanned aerial vehicle 1, can fix unmanned aerial vehicle 1's image acquisition equipment 3 and for image acquisition equipment 3 increases steadily to make image acquisition equipment 3 also can shoot stable smooth picture under the motion condition.
The pan-tilt is a component for enhancing the shooting stability of image acquisition equipment such as a camera, a video camera and the like, and mainly plays a role in balance and stabilization, namely, no matter how the body of the image acquisition equipment 3 vibrates, the pan-tilt can filter most of vibration, and the relative position of the lens to the ground is kept still. The unmanned aerial vehicle cloud platform image stabilization technology obtains the angle of each current axis of prediction through cloud platform attitude calculation, for example the angle of yaw axis, every single move axle, roll axis, then handles through control algorithm, output motor drive response to accomplish the increase steady of cloud platform to the image of shooting such as camera or video camera, can make the fixed camera of cloud platform or the camera shooting under the motion state take stable image. And setting appropriate cradle head control parameters according to the type of the cradle head, and playing a key role in improving the image stabilization precision of the cradle head.
Specifically, in the embodiment of the present invention, the pan/tilt head 4 may be used to execute the method for self-tuning the control parameter in the embodiment of the present invention.
The pan/tilt/.
According to the start self-tuning instruction, the cradle head 4 may select a self-tuning control parameter type, such as a position ring or an angular velocity ring of each axis of the cradle head 4, specifically, first, the selected multiple control parameters satisfy: and sequencing the plurality of control parameters according to the numerical values, wherein the absolute values of the differences between any two adjacent sequenced control parameters are the same, and the absolute values of the differences are in positive correlation with the default control parameters of the equipment to be set and in negative correlation with the number of the selected plurality of control parameters. It is understood that, in the present embodiment, the method for selecting the control parameter is not limited to the above-mentioned method, and a plurality of control parameters may be randomly selected according to the default control parameter.
The cradle head 4 configures the equipment to be set according to each selected control parameter;
and determining a performance index function value corresponding to the control parameter according to the configured actual attitude angle of the equipment to be set, wherein each control parameter can obtain the corresponding performance index function value, namely a plurality of performance index function values.
After the multiple performance index function values are obtained, the multiple performance index function values can be sequenced, and the control parameter corresponding to the minimum performance index function value is selected as a new control parameter of the equipment to be set. The smaller the performance index function value is, the better the function of the cradle head 4 for waiting for the rapid and stable adjustment of the setting equipment is, and the more stable the image picture acquired by the image acquisition equipment 3 carried on the setting equipment is.
And taking the control parameter corresponding to the minimum performance index function value as a new control parameter, configuring the equipment to be set according to the new control parameter, and after the configuration is finished, indicating the image acquisition equipment 3 carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification.
The verification mode can be that the user verifies according to the real-time image stabilization picture effect, if the new control parameter is determined through the observation of the user, the product delivery standard can be achieved, the image stabilization effect is improved or the image stabilization effect meets the requirements of the user, an instruction for feeding back the verification success is sent to the holder through the ground station, and the self-setting is finished.
Further, after the new control parameter is successfully verified, the new control parameter can be stored, and the stored new control parameter can be used as a default control parameter of the cradle head 4, so that the cradle head 4 configures itself according to the stored new control parameter after being started next time, and a user can use the configuration conveniently. Specifically, the pan/tilt head 4 may store the new control parameter to a storage device of the pan/tilt head 4, such as a flash.
In addition, for the new control parameter obtained by the control parameter self-tuning method in the embodiment of the present invention, the user may select to save the new control parameter as the default control parameter of the pan/tilt head 4, or may abandon to save the new control parameter as the default control parameter of the pan/tilt head. In practical application, whether to store the new control parameter obtained after the self-tuning as the default control parameter of the pan/tilt head 4 is determined by the user applying the technology of the present solution, and details are not repeated here.
On the other hand, if the verification of the new control parameter is unsuccessful, that is, if the user determines that the stabilization effect does not meet the requirement by observing the picture displayed by the display terminal of the ground station, the verification unsuccessful command can be sent to the cradle head by operating a feedback key of the ground station and the like. And when the cradle head 4 receives the verification unsuccessful command fed back by the ground station, returning to the step of selecting a new control parameter according to the self-tuning command, continuously reselecting another new control parameter until the control parameter which can pass the verification is found, and finishing the self-tuning. The newly selected new control parameter may be a control parameter corresponding to a next smaller performance index function value in the sorting of the plurality of performance index function values.
Further, before the ground station verification is applied, the selected new control parameter may be automatically verified, specifically, the obtained minimum performance index function value is compared with a fixed threshold, the fixed threshold is the performance index function value corresponding to the default control parameter of the pan/tilt before self-tuning, if the minimum performance index function value is greater than or obviously exceeds the fixed threshold, it indicates that there may be quality problems such as a relatively harsh environment for the whole unmanned aerial vehicle system to operate, or a relatively large difference in the structures of the unmanned aerial vehicle, the pan/tilt and other devices, and the significance of adjusting the stability of the device by the self-tuning control parameter is not large, the self-tuning is terminated. The products can be classified as defective products subsequently, and are maintained and the like.
Therefore, the cloud deck 4 carries out self-tuning according to the control parameter self-tuning method, the control parameters of the unmanned aerial vehicle 1 and/or the cloud deck 4 can be self-tuned, the tuning and debugging of the unmanned aerial vehicle, the cloud deck or other equipment to be tuned can be completed rapidly and automatically, the time for manually refining the tuning and debugging is saved, and the working efficiency is improved.
In another embodiment, the self-tuning process may be implemented on the drone 1, and the device to be tuned may include the drone 1 and/or the pan-tilt 4, for example:
the ground station 2 is used for sending a self-tuning starting instruction to the unmanned aerial vehicle 1;
the unmanned aerial vehicle 1 is used for carrying out self-tuning on the control parameters of the unmanned aerial vehicle 1 and/or the holder 4 according to the starting self-tuning instruction, and the self-tuning process comprises the following steps: selecting a new control parameter according to the starting self-tuning instruction; configuring the unmanned aerial vehicle 1 and/or the pan-tilt 4 according to the new control parameters; after the configuration is finished, instructing image acquisition equipment 3 carried on the unmanned aerial vehicle 1 and/or the pan-tilt 4 to acquire (continuous or discontinuous) image sequences, and transmitting the acquired image sequences to the ground station 2 for verification; and when a verification success command fed back by the ground station 2 is received, self-tuning is completed.
The specific self-tuning process of the cradle head can be referred to in the self-tuning process of the unmanned aerial vehicle 1, and is not described herein again. Based on the above scheme, the unmanned aerial vehicle 1 can be used for executing the method for self-tuning of the control parameters in the above scheme, the unmanned aerial vehicle 1 executes the command for starting self-tuning sent by the ground station 2 to the unmanned aerial vehicle 1 through interaction between the unmanned aerial vehicle 1 and the ground station 2, and the unmanned aerial vehicle 1 can realize self-tuning of the control parameters of the unmanned aerial vehicle 1 and/or the cradle head 4 according to the method for self-tuning of the control parameters in the above scheme, so that the tuning and debugging of the unmanned aerial vehicle cradle head or other equipment to be tuned can be rapidly and automatically carried out, the time for manually refined tuning and debugging is saved, and the working efficiency is improved.
In addition, in the normal working state of the unmanned aerial vehicle system 10, after the ground station 2 starts the control parameter self-tuning switch, the unmanned aerial vehicle 1 may also execute a self-tuning instruction. It can be understood that, in the embodiment of the present invention, the control parameter self-tuning may be a pan-tilt, a drone, or other devices to be tuned.
Specifically, in yet another embodiment of the present invention, the self-tuning process may be implemented on a third-party device, the device to be tuned may be the unmanned aerial vehicle 1 and/or the pan/tilt head 4, the third-party device is in communication connection with the unmanned aerial vehicle 1 and the ground station 2, and a placement position of the third-party device is not limited. The implementation process can be as follows:
the ground station 2 is used for sending a starting self-tuning instruction to a third-party device;
the third party device is used for carrying out self-tuning on the control parameters of the unmanned aerial vehicle 1 and/or the holder 4 according to the starting self-tuning instruction, and the self-tuning process comprises the following steps: selecting a new control parameter according to the starting self-tuning instruction; configuring the unmanned aerial vehicle 1 and/or the pan-tilt 4 according to the new control parameters; after the configuration is completed, instructing the image acquisition equipment 3 carried on the unmanned aerial vehicle 1 and/or the pan-tilt 4 to acquire (continuous or discontinuous) image sequences and transmitting the acquired image sequences to the ground station 2 for verification; and when the third-party device receives the verification success command fed back by the ground station 2, the self-tuning is completed.
The third-party device 1 may refer to the above description of the self-tuning process of the pan/tilt head, and is not described herein again. Therefore, based on the scheme, the third-party device can realize the self-tuning of the control parameters of the unmanned aerial vehicle 1 and/or the cloud deck 4, the unmanned aerial vehicle or the image stabilizing part of the unmanned aerial vehicle can be rapidly and automatically subjected to the tuning and debugging of the tuning equipment, the time for manually refining the tuning and debugging is saved, and the working efficiency is improved.
Fig. 2 is a flowchart of a method for controlling parameter self-tuning according to an embodiment of the present invention. As shown in fig. 2, in an embodiment of the present invention, a method for controlling parameter self-tuning includes the following steps:
step S201: and receiving a self-tuning starting instruction sent by the ground station.
The method comprises the steps that control parameters are automatically adjusted for the whole unmanned aerial vehicle mounted with a holder, a ground station starts a control parameter self-adjusting switch, a command for starting the control parameter self-adjustment is sent to the unmanned aerial vehicle, and the unmanned aerial vehicle transmits the command for starting the control parameter self-adjustment to the holder; and after the cradle head receives a self-setting starting instruction sent by the ground station, starting self-setting control parameters, namely executing step 202.
And (3) performing control parameter self-tuning on the unmanned aerial vehicle, starting a control parameter self-tuning switch by the ground station, sending a control parameter self-tuning starting instruction to the unmanned aerial vehicle, and starting the self-tuning control parameter after the unmanned aerial vehicle receives the self-tuning starting instruction sent by the ground station, namely executing the step 202.
Step S202: and selecting a new control parameter according to the self-tuning starting instruction.
Step S203: and configuring the equipment to be set according to the new control parameters.
Specifically, the equipment to be set is configured according to the new control parameter, that is, the new control parameter replaces the default control parameter of the equipment to be set and serves as the current control parameter of the equipment to be set. The default control parameter of the device to be set may be a control parameter set when a product leaves a factory, or may be a control parameter stored in the device after the last self-setting.
Step S204: and after the configuration is finished, indicating the image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification.
The image acquisition equipment carried on the equipment to be set comprises image acquisition equipment such as a camera or a video camera. The ground station receives the acquired image sequence, and a user can verify the self-tuning effect of the equipment to be tuned after the new control parameter is configured by observing the shooting effect of the image sequence.
Step S205: and when a verification success command fed back by the ground station is received, completing self-tuning.
Based on the method, in the embodiment of the invention, after receiving a start self-setting instruction, the device to be set starts automatically setting control parameters, after the control parameter self-setting processing, a new control parameter is selected, the new control parameter is configured to the device to be set, after the configuration is finished, the image acquisition device carried on the device to be set is instructed to acquire an image sequence and transmit the acquired image sequence to the ground station for verification, and after a verification success instruction fed back by the ground station is received, the self-setting is finished, wherein the device to be set can be an unmanned aerial vehicle or a cradle head carried by the unmanned aerial vehicle, by the control parameter self-setting method, the debugging time of the device to be set can be saved, before the unmanned aerial vehicle product leaves a factory or before a user uses the unmanned aerial vehicle product, the unmanned aerial vehicle setting debugging can be rapidly and automatically carried out by the control parameter self-setting method, the image stabilizing effect of the unmanned aerial vehicle is judged, the time for manual fine setting and debugging is saved, and the working efficiency is improved.
Simultaneously, owing to can be before the unmanned aerial vehicle product dispatches from the factory, further debug the setting to the unmanned aerial vehicle product fast, reduced because of the unmanned aerial vehicle body, cloud platform shock-absorbing structure to and the holistic not good problem of steady image effect of unmanned aerial vehicle product that the individual difference nature of parts such as cloud platform arouses, effectively reduce the product and return the factory cost, promote the product yields of dispatching from the factory.
In an embodiment of the present invention, as shown in fig. 3, fig. 3 is a flowchart of a method for selecting a new control parameter in the method shown in fig. 2. Specifically, the selecting a new control parameter includes:
step S301: selecting a plurality of control parameters;
specifically, the selected multiple control parameters may satisfy: and sequencing the plurality of control parameters according to the numerical values, wherein the absolute values of the differences between any two adjacent sequenced control parameters are the same, and the absolute values of the differences are in positive correlation with the default control parameters of the equipment to be set and in negative correlation with the number of the selected plurality of control parameters.
In the embodiment of the present invention, specifically, it is feasible that the method for selecting a plurality of control parameters satisfies the relationship between the plurality of selected control parameters, for example, the plurality of control parameters may be calculated by the following formula:
Figure BDA0002065465350000091
wherein i ═ 0, (N-1) ];
wherein kp0As a default control parameter, the default control parameter kp0The default control parameters can be factory default control parameters set during initialization of the unmanned aerial vehicle or the cradle head, or default control parameters stored after the unmanned aerial vehicle or the cradle head is electrified last time to execute self-tuning of the control parameters;
preselect [ k ] of setting coefficient interval of control parametermin,kmax]The setting coefficient interval can be generally determined by performing indoor debugging on the unmanned aerial vehicle or the pan-tilt and combining engineering practical experience, for example, the setting coefficient interval can be set to [0.5, 1.5 ]];
N is the total number of iterations and i is the iteration count, e.g. in the setting coefficient interval of [0.5, 1.5%]Within range, total number of iterationsThe number is 20, and 20 control parameters kp can be calculated by the formulai
It can be understood that, in this embodiment, the method for selecting the control parameter is not limited to the above-mentioned method, and the user may specifically select the control parameter according to his own requirements during actual application, which is not described herein again.
Step S302: aiming at each selected control parameter, configuring equipment to be set according to the control parameter; and determining a performance index function value corresponding to the control parameter according to the configured actual attitude angle of the equipment to be set, wherein the performance index function value is used for indicating the stability of an angle error between the actual attitude angle and the expected attitude angle of the equipment to be set.
And aiming at each selected control parameter, after the equipment to be set is configured, a performance index function value corresponding to each control parameter can be obtained, wherein the performance index function value can be determined according to the actual attitude angle of the equipment to be set after the configuration is completed, and the performance index function value is used for indicating the stability of the angle error between the actual attitude angle and the expected attitude angle of the equipment to be set.
Specifically, the performance index function value is used to evaluate the performance of the control parameter, and a performance index function value obtained by multiplying time by absolute value error Integral (ITAE) or a performance index function value obtained by averaging errors may be used as the performance index function value.
Taking the performance index function value of time multiplied by absolute value error integral as an example, the performance index function value calculation formula is: j ═ loop-0 t | e (t) dt, t is the time length of the control parameter setting, e (t) is an error value which corresponds to the angle difference between the predicted actual attitude angle and the expected attitude angle of the equipment to be set, and therefore the control parameter kp can be obtainediPerformance index function value J ofi. And traversing all the selected control parameters in sequence to obtain a plurality of performance index function values. For example, after sequentially traversing the 20 control parameters selected in step 301, 20 performance index function values may be obtained.
Step S303: and selecting the control parameter corresponding to the minimum performance index function value as the new control parameter.
Specifically, after the multiple performance index function values are obtained, the multiple performance index function values are sorted, and the control parameter corresponding to the smallest performance index function value is selected as a new control parameter of the device to be set. The smaller the performance index function value is, the better the function of the unmanned aerial vehicle or the pan-tilt for waiting for the rapid and stable adjustment of the setting equipment is, and the more stable the image picture acquired by the image acquisition equipment carried on the setting equipment is.
In an embodiment of the present invention, as shown in fig. 4, fig. 4 is a flowchart of a method for selecting a control parameter corresponding to a minimum performance index function value as the new control parameter in the method shown in fig. 3. Specifically, the method comprises the following steps:
step S401: and comparing the minimum performance index function value with a fixed threshold value, wherein the fixed threshold value is the performance index function value corresponding to the default control parameter of the equipment to be set.
Specifically, the fixed threshold may be a performance index function value corresponding to a default control parameter of the device to be set, and the fixed threshold may be adjusted correspondingly according to different delivery standards of the device to be set or different user usage standards. And comparing the minimum performance index function value with a fixed threshold value to preliminarily and automatically detect whether the selected control parameter meets a certain use standard, such as a factory standard of equipment to be set or a user use standard.
Step 402: and if the minimum performance index function value is smaller than the fixed threshold, selecting the control parameter corresponding to the minimum performance index function value as the new control parameter.
Step 403: and if the minimum performance index function value is larger than the fixed threshold, terminating the self-setting.
Specifically, if the minimum performance index function value is greater than or significantly exceeds the fixed threshold, it indicates that there may be a problem of equipment quality such as a relatively harsh environment in which the whole unmanned aerial vehicle system operates, or a large difference in structure between the unmanned aerial vehicle, the pan/tilt head, and the like, and the stability of the equipment adjusted by the self-tuning control parameter is of little significance, the self-tuning is terminated. The products can be classified as defective products subsequently, and are maintained and the like.
In addition, if the minimum performance index function value is equal to the fixed threshold, the self-tuning may be terminated, or the control parameter corresponding to the minimum performance index function value may be selected as the new control parameter. Specifically, the user may set the actual requirement, which is not described herein.
As shown in fig. 5, fig. 5 is a flow chart of a further extension of the method shown in fig. 2. In the embodiment of the present invention, the method for self-tuning the control parameter may be further extended to:
step 501: and receiving a self-tuning starting instruction sent by the ground station.
Step 502: and selecting a new control parameter according to the self-tuning starting instruction.
Step 503: and configuring the equipment to be set according to the new control parameters.
Step 504: and after the configuration is finished, indicating the image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification.
The equipment to be set is configured according to the new self-set control parameters, namely the new control parameters are configured as the current control parameters of the equipment to be set, then the image acquisition equipment carried on the equipment to be set can be instructed to acquire an image sequence, the acquired image sequence is transmitted to the ground station, and a user can judge whether the stability augmentation effect meets the requirement by observing the image sequence presented by the ground station.
Taking an unmanned aerial vehicle mounted with a holder as an example, the device to be set can be the holder, the image acquisition device can be an image acquisition device optically zooming 30 times, the unmanned aerial vehicle mounted with the holder hovers at high altitude, the image content of a focus point in a focus point image in an image zooming and amplifying image of the image acquisition device is clear and visible, and the focus point image can be kept in a display image frame for a period of time, so that the effect of the stability-enhanced image meets the requirement, and new control parameters after self-setting can be determined to be effective.
Step 505: and when a verification success command fed back by the ground station is received, completing self-tuning.
Specifically, after the verification is successful, the ground station may send a verification success command to the device to be set in a feedback manner, and when the verification success command fed back by the ground station is received, the device to be set completes self-setting.
Step 506: and storing the new control parameters, so that the equipment to be set configures itself according to the stored new control parameters after the equipment to be set is started next time.
Further, after the new control parameter is successfully verified, the set new control parameter can be stored, so that the device to be set configures itself according to the stored new control parameter after the next start, and the user can use the device conveniently. And for the unmanned aerial vehicle product before leaving the factory, saving the set new control parameters, and taking the new control parameters as default control parameters for the unmanned aerial vehicle product leaving the factory.
Specifically, the new control parameter may be saved to a storage device of the pan/tilt head or the unmanned aerial vehicle waiting for setting the device, such as a flash.
As shown in fig. 6, fig. 6 is a flow chart of a further extension of the method shown in fig. 2. In the embodiment of the present invention, the method for self-tuning the control parameter may be further extended to:
step 601: and receiving a self-tuning starting instruction sent by the ground station.
Step 602: and selecting a new control parameter according to the self-tuning starting instruction.
Step 603: and configuring the equipment to be set according to the new control parameters.
Step 604: and after the configuration is finished, indicating the image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification.
The equipment to be set is configured according to the new self-set control parameters, namely the new control parameters are configured as the current control parameters of the equipment to be set, then the image acquisition equipment carried on the equipment to be set can be instructed to acquire an image sequence, the acquired image sequence is transmitted to the ground station, and a user can judge whether the stability augmentation effect meets the requirement by observing the image sequence presented by the ground station.
Taking an unmanned aerial vehicle mounted with a holder as an example, the device to be set can be the holder, the image acquisition device can be an image acquisition device optically zooming 30 times, the unmanned aerial vehicle mounted with the holder hovers at high altitude, the image content of a focus point in a focus point image in an image zooming and amplifying image of the image acquisition device is clear and visible, and the focus point image can be kept in a display image frame for a period of time, so that the effect of the stability-enhanced image meets the requirement, and new control parameters after self-setting can be determined to be effective.
And if the user observes the image sequence displayed by the display terminal of the ground station, determining that the stability-enhancing image effect does not meet the requirement. Step 606 is performed.
And if the user observes the image sequence displayed by the display terminal of the ground station, determining that the stability-increasing image effect meets the requirement. Step 605 is performed.
Step 605: and when a verification success command fed back by the ground station is received, completing self-tuning.
Step 606: and returning to the step 602 when receiving the verification unsuccessful command fed back by the ground station.
If the user determines that the effect of the stable image does not meet the requirement by observing the image sequence displayed by the display terminal of the ground station, an unsuccessful verification instruction can be sent to the equipment to be set by operating a feedback key and the like. When receiving the verification unsuccessful command fed back by the ground station, returning to execute step 602: and a step of selecting a new control parameter according to the self-tuning instruction, and continuously reselecting another new control parameter until a control parameter which can be verified is found, executing the step 605, and ending the self-tuning.
The newly selected new control parameter may be a control parameter corresponding to a next smaller performance index function value in the sorting of the plurality of performance index function values.
In addition, by applying the scheme of the embodiment of the invention, in the process that the pan tilt or the unmanned aerial vehicle waits for the setting equipment to perform the self-setting of the control parameters, how to meet the problem that the ground station equipment is misoperated by a user, for example, a remote control lever is touched, a control key is mistakenly pressed, and the like, causes the self-setting of the control parameters to be terminated, and through interactive communication among the equipment in the unmanned aerial vehicle system, the equipment to be set can automatically recover the default control parameters to wait for restarting the self-setting of the control parameters. Therefore, the problem of misoperation of the user can be solved.
As shown in fig. 7, fig. 7 is a schematic structural diagram of an apparatus 700 for controlling parameter self-tuning according to an embodiment of the present invention.
The apparatus 700 comprises:
a first receiving module 701, configured to receive a start self-tuning instruction sent by a ground station;
a setting module 702, configured to select a new control parameter according to the start self-setting instruction;
a configuration module 703 for configuring the device to be set according to the new control parameter,
the verification module 704 is used for indicating the image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification after the configuration is finished;
the second receiving module 705 is further configured to complete self-tuning after receiving the verification success instruction fed back by the ground station.
In the embodiment of the invention, after receiving a start self-tuning instruction, the device to be tuned starts automatically tuning control parameters, after the control parameters are subjected to self-tuning processing, a new control parameter is selected, the new control parameter is configured to the device to be tuned, after the configuration is finished, the image acquisition device carried on the device to be tuned is instructed to acquire an image sequence and transmit the acquired image sequence to the ground station for verification, and after a verification success instruction fed back by the ground station is received, the self-tuning is finished, wherein the device to be tuned can be an unmanned aerial vehicle or a cradle head carried by the unmanned aerial vehicle, by the control parameter self-tuning method, the time for debugging the device to be tuned can be saved, before the unmanned aerial vehicle leaves a factory or before the unmanned aerial vehicle is used by a user, the unmanned aerial vehicle can be rapidly and automatically tuned, the image stabilizing effect of the unmanned aerial vehicle is judged, the time for manual fine setting and debugging is saved, and the working efficiency is improved.
In an embodiment of the invention, a non-transitory computer readable storage medium may further be provided in the framework as shown in fig. 1 to 6, which may store instructions that, when executed by a processor, cause the processor to perform the steps of the control parameter self-tuning method as described in the previous embodiments.
Fig. 8 is a schematic structural diagram of an electronic device 800 according to some embodiments of the invention, as shown in fig. 8. In an embodiment of the present invention, an electronic device 800 includes a processor 801 and a memory 802; and one or more programs stored in the memory 802 and configured to be executed by the processor 801, the one or more programs including instructions for performing the above-described control parameter self-tuning method.
In the embodiments provided in the present invention, it should be understood that the disclosed related devices and methods can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual precise or direct or communication connection may be an indirect or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. The storage medium includes various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims (11)

1. A control parameter self-tuning method is characterized by comprising the following steps:
receiving a self-tuning starting instruction sent by a ground station;
selecting a new control parameter according to the self-tuning starting instruction;
configuring equipment to be set according to the new control parameters;
after configuration is completed, indicating image acquisition equipment carried on equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification;
and when a verification success command fed back by the ground station is received, completing self-tuning.
2. The method of claim 1, wherein selecting a new control parameter comprises:
selecting a plurality of control parameters;
aiming at each selected control parameter, configuring equipment to be set according to the control parameter;
determining a performance index function value corresponding to the control parameter according to the configured actual attitude angle of the equipment to be set, wherein the performance index function value is used for indicating the stability of an angle error between the actual attitude angle and an expected attitude angle of the equipment to be set;
and selecting the control parameter corresponding to the minimum performance index function value as the new control parameter.
3. The method of claim 2, wherein the plurality of control parameters are selected to satisfy:
and sequencing the plurality of control parameters according to the numerical values, wherein the absolute values of the differences between any two adjacent sequenced control parameters are the same, and the absolute values of the differences are in positive correlation with the default control parameters of the equipment to be set and in negative correlation with the number of the selected plurality of control parameters.
4. The method of claim 2, wherein selecting the control parameter corresponding to the smallest performance indicator function value as the new control parameter comprises:
comparing the minimum performance index function value with a fixed threshold value, wherein the fixed threshold value is the performance index function value corresponding to the default control parameter of the equipment to be set;
and if the minimum performance index function value is smaller than the fixed threshold, selecting the control parameter corresponding to the minimum performance index function value as the new control parameter.
5. The method of claim 4, wherein after comparing the minimum performance indicator function value to a fixed threshold, the method further comprises:
and if the minimum performance index function value is larger than the fixed threshold, terminating the self-setting.
6. The method of claim 1, wherein after completing the self-tuning, the method further comprises:
and storing the new control parameters, so that the equipment to be set configures itself according to the stored new control parameters after the equipment to be set is started next time.
7. The method of claim 1, further comprising:
and when receiving a verification unsuccessful command fed back by the ground station, returning to execute the step of selecting a new control parameter according to the self-tuning command.
8. A control parameter self-tuning device is characterized by comprising:
the first receiving module is used for receiving a self-tuning starting instruction sent by the ground station;
the setting module is used for selecting a new control parameter according to the self-setting starting instruction;
the configuration module is used for configuring the equipment to be set according to the new control parameters;
the verification module is used for indicating image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification after the configuration is finished;
and the second receiving module is also used for completing self-tuning after receiving a verification success command fed back by the ground station.
9. An unmanned aerial vehicle system, the system comprising: an unmanned aerial vehicle, a ground station and a cradle head;
the unmanned aerial vehicle is in communication connection with the ground station and the holder respectively;
wherein: the cloud platform or the unmanned aerial vehicle is used for:
receiving a self-tuning starting instruction sent by a ground station;
selecting a new control parameter according to the self-tuning starting instruction;
configuring the equipment to be set according to the new control parameters, and after configuration is completed, indicating image acquisition equipment carried on the equipment to be set to acquire an image sequence and transmitting the acquired image sequence to the ground station for verification; the equipment to be set comprises a holder and/or an unmanned aerial vehicle;
and when a verification success command fed back by the ground station is received, completing self-tuning.
10. A non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the control parameter self-tuning method of any one of claims 1 to 7.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the control parameter self-tuning method of any of claims 1-7.
CN201910419286.XA 2019-05-20 2019-05-20 Control parameter self-tuning method, device and system Active CN111965970B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910419286.XA CN111965970B (en) 2019-05-20 2019-05-20 Control parameter self-tuning method, device and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910419286.XA CN111965970B (en) 2019-05-20 2019-05-20 Control parameter self-tuning method, device and system

Publications (2)

Publication Number Publication Date
CN111965970A true CN111965970A (en) 2020-11-20
CN111965970B CN111965970B (en) 2023-01-31

Family

ID=73358292

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910419286.XA Active CN111965970B (en) 2019-05-20 2019-05-20 Control parameter self-tuning method, device and system

Country Status (1)

Country Link
CN (1) CN111965970B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113236443A (en) * 2021-04-25 2021-08-10 上海新力动力设备研究所 Self-tuning method for pressure feedback control parameter of variable thrust engine
CN114138029A (en) * 2021-10-27 2022-03-04 北京北方华创微电子装备有限公司 Pipeline temperature control method and equipment for semiconductor process equipment

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101552589A (en) * 2009-05-14 2009-10-07 上海交通大学 Relay feedback based AC servo system automatic setting method
CN101950174A (en) * 2010-09-30 2011-01-19 清华大学 Method for adjusting parameters of unmanned aerial vehicle (UAV) controller
CN103149954A (en) * 2013-01-31 2013-06-12 中国科学院上海技术物理研究所 Automatic setting device of semiconductor cooler simulation PID temperature control circuit parameters
CN103383571A (en) * 2013-08-13 2013-11-06 湖南航天机电设备与特种材料研究所 Asymmetric four-rotor UAV (unmanned aerial vehicle) and control method thereof
CN103616845A (en) * 2013-11-27 2014-03-05 深圳市亿维自动化技术有限公司 PID controller, parameter self-tuning extension module and implementation method thereof
CN109582030A (en) * 2018-12-20 2019-04-05 中国科学院深圳先进技术研究院 To setting parameter method and relevant apparatus in a kind of control of adjustment UAV Attitude

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101552589A (en) * 2009-05-14 2009-10-07 上海交通大学 Relay feedback based AC servo system automatic setting method
CN101950174A (en) * 2010-09-30 2011-01-19 清华大学 Method for adjusting parameters of unmanned aerial vehicle (UAV) controller
CN103149954A (en) * 2013-01-31 2013-06-12 中国科学院上海技术物理研究所 Automatic setting device of semiconductor cooler simulation PID temperature control circuit parameters
CN103383571A (en) * 2013-08-13 2013-11-06 湖南航天机电设备与特种材料研究所 Asymmetric four-rotor UAV (unmanned aerial vehicle) and control method thereof
CN103616845A (en) * 2013-11-27 2014-03-05 深圳市亿维自动化技术有限公司 PID controller, parameter self-tuning extension module and implementation method thereof
CN109582030A (en) * 2018-12-20 2019-04-05 中国科学院深圳先进技术研究院 To setting parameter method and relevant apparatus in a kind of control of adjustment UAV Attitude

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113236443A (en) * 2021-04-25 2021-08-10 上海新力动力设备研究所 Self-tuning method for pressure feedback control parameter of variable thrust engine
CN114138029A (en) * 2021-10-27 2022-03-04 北京北方华创微电子装备有限公司 Pipeline temperature control method and equipment for semiconductor process equipment
CN114138029B (en) * 2021-10-27 2023-04-14 北京北方华创微电子装备有限公司 Method and apparatus for controlling temperature of piping used in semiconductor processing equipment

Also Published As

Publication number Publication date
CN111965970B (en) 2023-01-31

Similar Documents

Publication Publication Date Title
CN107765709B (en) Method and device for realizing self-shooting based on aircraft
CN111965970B (en) Control parameter self-tuning method, device and system
CN108513649B (en) Flight control method, flight control device, machine-readable storage medium, and flight control system
US20200304706A1 (en) Viewing angle adjustment method and device, storage medium, and electronic device
CN105676866A (en) Unmanned aerial vehicle flight control method and device
CN104796611A (en) Method and system for remotely controlling unmanned aerial vehicle to implement intelligent flight shooting through mobile terminal
US20200218251A1 (en) Control method for unmanned aerial vehicle, unmanned aerial vehicle and machine-readable storage medium
CN108924520B (en) Transmission control method, device, controller, shooting equipment and aircraft
CN105704367B (en) The camera shooting control method and video camera controller of unmanned vehicle
CN104808686A (en) System and method enabling aircraft to be flied along with terminal
CN105163061A (en) Remote video interactive system
CN103873959A (en) Control method and electronic device
CN108521866B (en) Video acquisition method, control terminal, aircraft system and storage medium
US20200180759A1 (en) Imaging device, camera-equipped drone, and mode control method, and program
CN108206858A (en) A kind of long-range control method and system
CN105847682A (en) Panoramic image photographing method, device and system
CN113411621B (en) Audio data processing method and device, storage medium and electronic equipment
CN112640422A (en) Photographing method, movable platform, control device, and storage medium
CN113873169A (en) Load control method and device
CN110603504A (en) Multi-cradle-head control method and device, unmanned aerial vehicle, medium and electronic equipment
CN108965689A (en) Unmanned plane image pickup method and device, unmanned plane and ground control unit
CN110741626B (en) Shooting control method, movable platform, control device and storage medium
US20190075513A1 (en) Method for broadcasting a communication network identifier, method for connecting to a communication network, related computer program, hosting medium and mobile terminal
CN108693892A (en) A kind of tracking, electronic device
CN110278717B (en) Method and device for controlling the flight of an aircraft

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address

Address after: 310051 room 304, B / F, building 2, 399 Danfeng Road, Binjiang District, Hangzhou City, Zhejiang Province

Patentee after: Hangzhou Hikvision Robot Co.,Ltd.

Address before: 310052 5 / F, building 1, building 2, no.700 Dongliu Road, Binjiang District, Hangzhou City, Zhejiang Province

Patentee before: HANGZHOU HIKROBOT TECHNOLOGY Co.,Ltd.

CP03 Change of name, title or address
TR01 Transfer of patent right

Effective date of registration: 20230630

Address after: No.555, Qianmo Road, Binjiang District, Hangzhou City, Zhejiang Province

Patentee after: Hangzhou Hikvision Digital Technology Co.,Ltd.

Address before: 310051 room 304, B / F, building 2, 399 Danfeng Road, Binjiang District, Hangzhou City, Zhejiang Province

Patentee before: Hangzhou Hikvision Robot Co.,Ltd.

TR01 Transfer of patent right