CN112688615B - Alternating current servo driving method and device based on artificial intelligence - Google Patents
Alternating current servo driving method and device based on artificial intelligence Download PDFInfo
- Publication number
- CN112688615B CN112688615B CN202011561573.3A CN202011561573A CN112688615B CN 112688615 B CN112688615 B CN 112688615B CN 202011561573 A CN202011561573 A CN 202011561573A CN 112688615 B CN112688615 B CN 112688615B
- Authority
- CN
- China
- Prior art keywords
- alternating current
- servo motor
- local
- signal
- control signal
- 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.)
- Active
Links
Images
Landscapes
- Control Of Electric Motors In General (AREA)
- Control Of Ac Motors In General (AREA)
Abstract
The invention provides an alternating current servo driving method and device based on artificial intelligence. The method comprises the following steps: acquiring an alternating current servo motor control signal, and extracting an alternating current signal, the alternating current signal generation time and the alternating current servo motor control signal duration time from the alternating current servo motor control signal; acquiring a local alternating current signal calibration table, calibrating the alternating current signal, and acquiring angular speed or angular displacement according to the alternating current signal when the calibration is passed; acquiring a local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal; and driving the alternating current servo motor according to a rotor control strategy, an angular speed or an angular displacement. According to the invention, the alternating current servo is driven by setting different control strategies, and the control strategies are continuously updated in an artificial intelligence manner, so that the driving efficiency of the alternating current servo motor is improved, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to an alternating current servo driving method and device based on artificial intelligence.
Background
The power supply device for controlling and driving the universal rotary alternating current servo motor is called an alternating current servo driver, a rotor in the servo motor is a permanent magnet, U/V/W three-phase electricity controlled by the driver forms an electromagnetic field, the rotor rotates under the action of the magnetic field, meanwhile, an encoder of the motor feeds back a signal to the driver, the driver compares a feedback value with a target value and adjusts the rotation angle of the rotor, and the alternating current servo driver controls the motor through a sine wave and has small torque pulsation.
The existing ac servo driving method needs to be improved in the calibration and control strategy of the ac signal, so an ac servo driving method based on artificial intelligence is urgently needed to improve the efficiency of the ac servo driving.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
In view of this, the present invention provides an alternating current servo driving method and apparatus based on artificial intelligence, and aims to solve the technical problem that the prior art cannot improve the alternating current servo driving efficiency in an artificial intelligence manner.
The technical scheme of the invention is realized as follows:
in one aspect, the invention provides an artificial intelligence based alternating current servo driving method, which comprises the following steps:
s1, acquiring an alternating current servo motor control signal, and extracting an alternating current signal, the alternating current signal generation time and the alternating current servo motor control signal duration from the alternating current servo motor control signal;
s2, acquiring a local alternating current signal calibration table, calibrating the alternating current signal according to the local alternating current signal calibration table and the alternating current signal generation time, and acquiring angular speed or angular displacement according to the alternating current signal when the calibration is passed;
s3, obtaining a local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal;
and S4, driving the alternating current servo motor according to the rotor control strategy, the angular speed or the angular displacement.
On the basis of the above technical solution, preferably, in step S1, acquiring an ac servo motor control signal, and extracting an ac signal, the ac signal generation time, and the ac servo motor control signal duration from the ac servo motor control signal, further including the steps of acquiring an ac servo motor control signal, searching a local historical ac servo motor control signal, constructing an ac servo motor control signal detection format according to the local historical ac servo motor control signal, detecting the ac servo motor control signal according to the ac servo motor control signal detection format, and when the ac servo motor control signal passes the detection, extracting an ac signal, the ac signal generation time, and the ac servo motor control signal duration from the ac servo motor control signal; and when the control signal of the alternating current servo motor does not pass the detection, the control signal of the alternating current servo motor is acquired again.
Based on the above technical solution, preferably, in step S2, a local ac electrical signal calibration table is obtained, the ac electrical signal is calibrated according to the local ac electrical signal calibration table and the ac electrical signal generation time, and when the calibration passes, before the angular velocity or the angular displacement is obtained according to the ac electrical signal, the method further includes the steps of obtaining a local historical ac electrical signal and a corresponding generation time, generating local historical ac electrical signal sets according to the local historical ac electrical signal and the corresponding generation time, calculating an ac electrical signal mean value of each local historical ac electrical signal set, generating an error range by combining the local historical ac electrical signal, and constructing the local ac electrical signal calibration table according to the ac electrical signal mean value, the corresponding generation time, and the error range.
On the basis of the foregoing technical solution, preferably, in step S2, obtaining a local ac electrical signal calibration table, calibrating the ac electrical signal according to the local ac electrical signal calibration table and the ac electrical signal generation time, and when the calibration is passed, obtaining an angular velocity or an angular displacement according to the ac electrical signal, further including obtaining the local ac electrical signal calibration table, finding a corresponding ac electrical signal mean value and a corresponding error range from the local ac electrical signal calibration table according to the ac electrical signal generation time, calibrating the ac electrical signal according to the ac electrical signal mean value and the corresponding error range, and obtaining the angular velocity or the angular displacement according to the ac electrical signal when the ac electrical signal satisfies the ac electrical signal mean value and the corresponding error range; and when the alternating current signal does not meet the mean value of the alternating current signal and the corresponding error range, reselecting the control signal of the alternating current servo motor.
Based on the above technical solution, preferably, before the step S3 of obtaining the local rotor control policy table and selecting the corresponding rotor control policy from the local rotor control policy table according to the ac servo motor control signal duration, the method further includes the steps of obtaining a local historical ac servo motor control signal duration and a corresponding rotor speed variation, and establishing the local rotor control policy table according to the local historical ac servo motor control signal duration and the corresponding rotor speed variation.
On the basis of the above technical solution, preferably, a local rotor control strategy table is obtained, and a corresponding rotor control strategy is selected from the local rotor control strategy table according to the duration of the ac servo motor control signal, and the method further includes the steps of obtaining the local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration of the ac servo motor control signal when no other control strategy exists in the ac servo motor control signal; when other control strategies exist in the control signal of the alternating current servo motor, selection inquiry is carried out on the user, and user feedback is waited.
Based on the above technical solution, preferably, in step S4, the ac servo motor is driven according to the rotor control strategy, the angular velocity, or the angular displacement, and the method further includes the steps of driving the ac servo motor according to the rotor control strategy, the angular velocity, or the angular displacement, recording current driving operation data as historical data, and updating local data.
Still further preferably, the artificial intelligence based ac servo driving apparatus includes:
the acquisition module is used for acquiring an alternating current servo motor control signal and extracting an alternating current signal, the alternating current signal generation time and the alternating current servo motor control signal duration time from the alternating current servo motor control signal;
the calibration module is used for acquiring a local alternating current signal calibration table, calibrating the alternating current signal according to the local alternating current signal calibration table and the alternating current signal generation time, and acquiring angular speed or angular displacement according to the alternating current signal when the calibration is passed;
the selection module is used for acquiring a local rotor control strategy table and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal;
and the driving module is used for driving the alternating current servo motor according to a rotor control strategy, an angular speed or an angular displacement.
In a second aspect, the artificial intelligence based ac servo driving method further comprises an apparatus comprising: the system comprises a memory, a processor and an artificial intelligence based AC servo driving method program stored on the memory and capable of running on the processor, wherein the artificial intelligence based AC servo driving method program is configured to realize the steps of the artificial intelligence based AC servo driving method.
In a third aspect, the artificial intelligence based ac servo driving method further includes a medium, which is a computer medium, and the computer medium stores an artificial intelligence based ac servo driving method program, and the artificial intelligence based ac servo driving method program, when executed by a processor, implements the steps of the artificial intelligence based ac servo driving method as described above.
Compared with the prior art, the alternating current servo driving method based on artificial intelligence has the following beneficial effects:
(1) different control strategies are set through an artificial intelligence mode, the alternating current servo motor is driven according to different control strategies, the driving efficiency of the alternating current servo motor can be improved, and the user experience is improved.
(2) Through updating the local control strategy, the AC servo motor can be better driven, and the driving efficiency of the AC servo motor is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of an artificial intelligence based AC servo driving method according to the present invention;
fig. 3 is a schematic functional block diagram of an ac servo driving method based on artificial intelligence according to a first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 is not intended to be limiting of the apparatus, and in actual implementations the apparatus may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a storage 1005 as a medium may include an operating system, a network communication module, a user interface module, and an artificial intelligence based ac servo driving method program therein.
In the device shown in fig. 1, the network interface 1004 is mainly used to establish a communication connection between the device and a server storing all data required in the artificial intelligence based ac servo driven method system; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the artificial intelligence based ac servo driving method device of the present invention may be disposed in the artificial intelligence based ac servo driving method device, and the artificial intelligence based ac servo driving method device calls the artificial intelligence based ac servo driving method program stored in the memory 1005 through the processor 1001, and executes the artificial intelligence based ac servo driving method provided in the present invention.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a first embodiment of an ac servo driving method based on artificial intelligence according to the present invention.
In this embodiment, the alternating current servo driving method based on artificial intelligence includes the following steps:
s10: the method comprises the steps of obtaining an alternating current servo motor control signal, and extracting an alternating current signal, the alternating current signal generation time and the alternating current servo motor control signal duration time from the alternating current servo motor control signal.
It should be understood that, the implementation system may obtain an ac servo motor control signal, search a local historical ac servo motor control signal, construct an ac servo motor control signal detection format according to the local historical ac servo motor control signal, detect the ac servo motor control signal according to the ac servo motor control signal detection format, and extract an ac signal, an ac signal generation time, and an ac servo motor control signal duration from the ac servo motor control signal when the ac servo motor control signal passes the detection; and when the control signal of the alternating current servo motor does not pass the detection, the control signal of the alternating current servo motor is acquired again.
S20: and acquiring a local alternating current signal calibration table, calibrating the alternating current signal according to the local alternating current signal calibration table and the alternating current signal generation time, and acquiring the angular speed or the angular displacement according to the alternating current signal when the calibration is passed.
It should be understood that the system may then obtain the local historical ac power signal and the corresponding generation time, generate local historical ac power signal sets at different time periods according to the local historical ac power signal and the corresponding generation time, calculate an ac power signal mean value of each local historical ac power signal set, generate an error range in combination with the local historical ac power signal, and construct a local ac power signal calibration table according to the ac power signal mean value, the corresponding generation time, and the error range.
It should be understood that a local ac electrical signal calibration table is then obtained, a corresponding ac electrical signal mean value and a corresponding error range are found from the local ac electrical signal calibration table according to the ac electrical signal generation time, the ac electrical signal is calibrated according to the ac electrical signal mean value and the corresponding error range, and when the ac electrical signal satisfies the ac electrical signal mean value and the corresponding error range, an angular velocity or an angular displacement is obtained according to the ac electrical signal; and when the alternating current signal does not meet the mean value of the alternating current signal and the corresponding error range, reselecting the control signal of the alternating current servo motor.
S30: and acquiring a local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal.
It should be appreciated that the system may then obtain local historical ac servo motor control signal durations and corresponding rotor speed variations, and establish a local rotor control policy table based on the local historical ac servo motor control signal durations and corresponding rotor speed variations.
It should be understood that, the system may further obtain a local rotor control strategy table, and for the ac servo motor control signal, when there is no other control strategy in the ac servo motor control signal, select a corresponding rotor control strategy from the local rotor control strategy table according to the duration of the ac servo motor control signal; when other control strategies exist in the control signal of the alternating current servo motor, selection inquiry is carried out on the user, and user feedback is waited.
S40: and driving the alternating current servo motor according to a rotor control strategy, an angular speed or an angular displacement.
It should be understood that, finally, the system drives the ac servo motor according to the rotor control strategy, the angular velocity or the angular displacement, records the current driving operation data as historical data, and updates the local data.
The above description is only for illustrative purposes and does not limit the technical solutions of the present application in any way.
As can be easily found from the above description, the present embodiment extracts an ac electrical signal, a generation time of the ac electrical signal, and a duration time of the ac servo motor control signal from the ac servo motor control signal by obtaining the ac servo motor control signal; acquiring a local alternating current signal calibration table, calibrating the alternating current signal, and acquiring angular speed or angular displacement according to the alternating current signal when the calibration is passed; acquiring a local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal; and driving the alternating current servo motor according to a rotor control strategy, an angular speed or an angular displacement. This embodiment drives the AC servo through setting for different control strategies to control strategy is constantly updated through artificial intelligence's mode, has improved AC servo motor's drive efficiency, has promoted user experience.
In addition, the embodiment of the invention also provides an alternating current servo driving device based on artificial intelligence. As shown in fig. 3, the artificial intelligence based ac servo driving apparatus includes: an acquisition module 10, a calibration module 20, a selection module 30 and a drive module 40.
The acquisition module 10 is configured to acquire an ac servo motor control signal, and extract an ac electrical signal, an ac electrical signal generation time, and an ac servo motor control signal duration from the ac servo motor control signal;
the calibration module 20 is configured to obtain a local ac signal calibration table, calibrate the ac signal according to the local ac signal calibration table and the ac signal generation time, and obtain an angular velocity or an angular displacement according to the ac signal when the calibration is passed;
a selecting module 30, configured to obtain a local rotor control policy table, and select a corresponding rotor control policy from the local rotor control policy table according to the duration of the ac servo motor control signal;
and the driving module 40 is used for driving the alternating current servo motor according to a rotor control strategy, an angular speed or an angular displacement.
In addition, it should be noted that the above-described embodiments of the apparatus are merely illustrative, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of the modules to implement the purpose of the embodiments according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment can be referred to the artificial intelligence based ac servo driving method provided in any embodiment of the present invention, and are not described herein again.
In addition, an embodiment of the present invention further provides a medium, where the medium is a computer medium, and the computer medium stores an artificial intelligence based ac servo driving method program, where the artificial intelligence based ac servo driving method program, when executed by a processor, implements the following operations:
s1, acquiring an alternating current servo motor control signal, and extracting an alternating current signal, the alternating current signal generation time and the alternating current servo motor control signal duration time from the alternating current servo motor control signal;
s2, acquiring a local alternating current signal calibration table, calibrating the alternating current signal according to the local alternating current signal calibration table and the alternating current signal generation time, and acquiring angular speed or angular displacement according to the alternating current signal when the calibration is passed;
s3, obtaining a local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal;
and S4, driving the alternating current servo motor according to the rotor control strategy, the angular speed or the angular displacement.
Further, when executed by a processor, the artificial intelligence based ac servo driving method further implements the following operations:
the method comprises the steps of obtaining an alternating current servo motor control signal, searching a local historical alternating current servo motor control signal, constructing an alternating current servo motor control signal detection format according to the local historical alternating current servo motor control signal, detecting the alternating current servo motor control signal according to the alternating current servo motor control signal detection format, and extracting an alternating current signal, alternating current signal generation time and alternating current servo motor control signal duration time from the alternating current servo motor control signal when the alternating current servo motor control signal passes the detection; and when the control signal of the alternating current servo motor does not pass the detection, the control signal of the alternating current servo motor is acquired again.
Further, when executed by a processor, the artificial intelligence based ac servo driving method further implements the following operations:
the method comprises the steps of obtaining local historical alternating current signals and corresponding production time, generating local historical alternating current signal sets in different time periods according to the local historical alternating current signals and the corresponding production time, calculating an alternating current signal mean value of each local historical alternating current signal set, generating an error range by combining the local historical alternating current signals, and constructing a local alternating current signal calibration table according to the alternating current signal mean value, the corresponding production time and the error range.
Further, when executed by a processor, the artificial intelligence based ac servo driving method further implements the following operations:
acquiring a local alternating current signal calibration table, searching a corresponding alternating current signal mean value and a corresponding error range from the local alternating current signal calibration table according to the alternating current signal generation time, calibrating the alternating current signal according to the alternating current signal mean value and the corresponding error range, and acquiring angular speed or angular displacement according to the alternating current signal when the alternating current signal meets the alternating current signal mean value and the corresponding error range; and when the alternating current signal does not meet the mean value of the alternating current signal and the corresponding error range, reselecting the control signal of the alternating current servo motor.
Further, when executed by a processor, the artificial intelligence based ac servo driving method further implements the following operations:
and acquiring the duration time of the control signal of the local historical alternating current servo motor and the corresponding rotor speed change, and establishing a local rotor control strategy table according to the duration time of the control signal of the local historical alternating current servo motor and the corresponding rotor speed change.
Further, when executed by a processor, the artificial intelligence based ac servo driving method further implements the following operations:
acquiring a local rotor control strategy table, selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal when the alternating current servo motor control signal does not have other control strategies; when other control strategies exist in the control signal of the alternating current servo motor, selection inquiry is carried out on the user, and user feedback is waited.
Further, when being executed by a processor, the artificial intelligence based alternating current servo driving method further realizes the following operations:
and driving the alternating current servo motor according to a rotor control strategy, an angular speed or an angular displacement, recording current driving operation data as historical data, and updating local data.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. An alternating current servo driving method based on artificial intelligence is characterized by comprising the following steps: comprises the following steps;
s1, acquiring an alternating current servo motor control signal, searching a local historical alternating current servo motor control signal, constructing an alternating current servo motor control signal detection format according to the local historical alternating current servo motor control signal, detecting the alternating current servo motor control signal according to the alternating current servo motor control signal detection format, and extracting an alternating current signal, alternating current signal generation time and alternating current servo motor control signal duration time from the alternating current servo motor control signal when the alternating current servo motor control signal passes the detection; when the control signal of the AC servo motor fails to pass the detection, the control signal of the AC servo motor is obtained again;
s2, obtaining local historical alternating current signals and corresponding production time, generating local historical alternating current signal sets in different time periods according to the local historical alternating current signals and the corresponding production time, calculating an alternating current signal mean value of each local historical alternating current signal set, generating an error range by combining the local historical alternating current signals, and constructing a local alternating current signal calibration table according to the alternating current signal mean value, the corresponding production time and the error range; acquiring a local alternating current signal calibration table, searching a corresponding alternating current signal mean value and a corresponding error range from the local alternating current signal calibration table according to the alternating current signal generation time, calibrating the alternating current signal according to the alternating current signal mean value and the corresponding error range, and acquiring angular speed or angular displacement according to the alternating current signal when the alternating current signal meets the alternating current signal mean value and the corresponding error range; when the alternating current signal does not meet the average value of the alternating current signal and the corresponding error range, reselecting the control signal of the alternating current servo motor;
s3, obtaining a local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal;
and S4, driving the alternating current servo motor according to the rotor control strategy, the angular speed or the angular displacement.
2. The artificial intelligence based ac servo drive method of claim 1, wherein: in step S3, before obtaining the local rotor control policy table and selecting the corresponding rotor control policy from the local rotor control policy table according to the ac servo motor control signal duration, the method further includes obtaining a local historical ac servo motor control signal duration and a corresponding rotor speed variation, and establishing the local rotor control policy table according to the local historical ac servo motor control signal duration and the corresponding rotor speed variation.
3. The artificial intelligence based ac servo driving method of claim 2, wherein: in step S3, obtaining a local rotor control strategy table, and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration of the ac servo motor control signal, further comprising the steps of obtaining the local rotor control strategy table, selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration of the ac servo motor control signal when no other control strategy exists in the ac servo motor control signal for the ac servo motor control signal; when other control strategies exist in the control signal of the alternating current servo motor, selection inquiry is carried out on the user, and user feedback is waited.
4. An artificial intelligence based ac servo drive method as claimed in claim 3, wherein: in step S4, the ac servo motor is driven according to the rotor control strategy, the angular velocity, or the angular displacement, and the method further includes the steps of driving the ac servo motor according to the rotor control strategy, the angular velocity, or the angular displacement, recording current driving operation data as historical data, and updating local data.
5. An artificial intelligence based AC servo driving device, comprising:
the acquisition module is used for acquiring an alternating current servo motor control signal, searching a local historical alternating current servo motor control signal, constructing an alternating current servo motor control signal detection format according to the local historical alternating current servo motor control signal, detecting the alternating current servo motor control signal according to the alternating current servo motor control signal detection format, and extracting an alternating current signal, alternating current signal generation time and alternating current servo motor control signal duration time from the alternating current servo motor control signal when the alternating current servo motor control signal passes the detection; when the control signal of the AC servo motor fails to pass the detection, the control signal of the AC servo motor is obtained again;
the calibration module is used for acquiring local historical alternating current signals and corresponding production time, generating local historical alternating current signal sets in different time periods according to the local historical alternating current signals and the corresponding production time, calculating an alternating current signal mean value of each local historical alternating current signal set, generating an error range by combining the local historical alternating current signals, and constructing a local alternating current signal calibration table according to the alternating current signal mean value, the corresponding production time and the error range; acquiring a local alternating current signal calibration table, searching a corresponding alternating current signal mean value and a corresponding error range from the local alternating current signal calibration table according to the alternating current signal generation time, calibrating the alternating current signal according to the alternating current signal mean value and the corresponding error range, and acquiring angular speed or angular displacement according to the alternating current signal when the alternating current signal meets the alternating current signal mean value and the corresponding error range; when the alternating current signal does not meet the average value of the alternating current signal and the corresponding error range, reselecting the control signal of the alternating current servo motor;
the selection module is used for acquiring a local rotor control strategy table and selecting a corresponding rotor control strategy from the local rotor control strategy table according to the duration time of the alternating current servo motor control signal;
and the driving module is used for driving the alternating current servo motor according to a rotor control strategy, an angular speed or an angular displacement.
6. An apparatus, characterized in that the apparatus comprises: a memory, a processor, and an artificial intelligence based ac servo drive method program stored on the memory and executable on the processor, the artificial intelligence based ac servo drive method program configured to implement the steps of the artificial intelligence based ac servo drive method as claimed in any one of claims 1 to 4.
7. A medium, characterized in that the medium is a computer medium, on which an artificial intelligence based ac servo driving method program is stored, and the artificial intelligence based ac servo driving method program is executed by a processor to realize the steps of the artificial intelligence based ac servo driving method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011561573.3A CN112688615B (en) | 2020-12-25 | 2020-12-25 | Alternating current servo driving method and device based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011561573.3A CN112688615B (en) | 2020-12-25 | 2020-12-25 | Alternating current servo driving method and device based on artificial intelligence |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112688615A CN112688615A (en) | 2021-04-20 |
| CN112688615B true CN112688615B (en) | 2022-06-17 |
Family
ID=75451873
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011561573.3A Active CN112688615B (en) | 2020-12-25 | 2020-12-25 | Alternating current servo driving method and device based on artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112688615B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113258830A (en) * | 2021-06-18 | 2021-08-13 | 国华(青岛)智能装备有限公司 | Intelligent variable power synchronous motor control system and control method thereof |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0724472B2 (en) * | 1982-09-24 | 1995-03-15 | ファナック株式会社 | Control unit for servo motor |
| CN1013332B (en) * | 1988-03-06 | 1991-07-24 | 陕西机械学院 | Controller of pulsewidth modulation inverter by using micro processor |
| US8531141B2 (en) * | 2011-02-28 | 2013-09-10 | Deere & Company | System for calibrating an electrical control system |
| CN106877746B (en) * | 2017-03-21 | 2019-01-01 | 北京京东尚科信息技术有限公司 | Method for control speed and speed control unit |
-
2020
- 2020-12-25 CN CN202011561573.3A patent/CN112688615B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112688615A (en) | 2021-04-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110945446B (en) | Power conversion device, server, and data generation method | |
| CN112688615B (en) | Alternating current servo driving method and device based on artificial intelligence | |
| JP4220525B2 (en) | Stepping motor speed control method and apparatus | |
| CN111756297A (en) | Determining an initial position of a rotor of a permanent magnet synchronous machine | |
| WO2016198949A2 (en) | System and method for maintaining a photovoltaic power source at a maximum power point | |
| KR20190143630A (en) | Sensorless control system and method for permanent magnet synchronous motor | |
| CN107800338A (en) | Step Motor speed control method based on FPGA | |
| JP6721177B2 (en) | Automatic measurement system and automatic measurement method | |
| CN112737428B (en) | Motor rotating speed pulse feedback control method and device, controller and air conditioning system | |
| CN113624396A (en) | Parameter calibration method and device of motor, storage medium and electronic equipment | |
| CN117544063A (en) | Motor control method and back electromotive force zero-crossing detection system | |
| CN111585478A (en) | Servo motor driving voltage control method, servo motor driving voltage control device, electronic equipment and storage medium | |
| CN112888985B (en) | Control method and control device for laser radar galvanometer and laser radar | |
| CN111478638A (en) | Method and device for identifying initial position of permanent magnet synchronous motor rotor | |
| CN111262494B (en) | Control method and device of permanent magnet synchronous motor, storage medium and processor | |
| KR102232069B1 (en) | Apparatus and method for firmware updating on operating device of rotating electrical machine | |
| CN117713733B (en) | Matching method, device, equipment and medium based on semi-automatic radio frequency matcher | |
| CN114257131B (en) | Motor rotation speed control method, device and equipment of hydrogen compressor and storage medium | |
| CN111010060B (en) | DC compensation method and circuit for stepping motor | |
| US20220094292A1 (en) | Motor control circuit, motor drive control device, and motor unit | |
| CN113676091B (en) | Motor driving method, motor driving device and motor motion control system | |
| CN111769774B (en) | Capacitor discharging method, device and system and storage medium | |
| US20240152105A1 (en) | Operation adjustment system, operation adjustment method, and operation adjustment program | |
| El-Kholy et al. | Torque ripple minimization for induction motor drives with direct torque control | |
| CN111948610B (en) | Radar control method and equipment |
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 |