CN116301058A - Unmanned flight feedback nonlinear yaw control method, system and equipment - Google Patents

Unmanned flight feedback nonlinear yaw control method, system and equipment Download PDF

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CN116301058A
CN116301058A CN202310525748.2A CN202310525748A CN116301058A CN 116301058 A CN116301058 A CN 116301058A CN 202310525748 A CN202310525748 A CN 202310525748A CN 116301058 A CN116301058 A CN 116301058A
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unmanned aerial
aerial vehicle
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CN116301058B (en
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欧朝
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Institute of Aerospace Technology of China Aerodynamics Research and Development Center
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Institute of Aerospace Technology of China Aerodynamics Research and Development Center
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    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The invention discloses an unmanned aerial vehicle feedback nonlinear yaw control method, system and equipment, belonging to the technical field of unmanned aerial vehicle flight control, wherein the method comprises the following steps: calculating to obtain the current heading distance deviation of the unmanned aerial vehicle; calculating to obtain the current track angle deviation of the unmanned aerial vehicle; establishing a nonlinear state equation of course distance deviation and course angle deviation; converting the nonlinear state equation into a linear system; according to the transfer characteristic of the linear system, constructing state feedback according to the course distance deviation and the course angle deviation, so as to convert the linear system into a closed-loop control system; calculating to obtain a state feedback coefficient; calculating to obtain the state feedback; according to the state feedback, a roll angle real-time instruction is obtained through calculation and is sent to control equipment of the unmanned aerial vehicle for yaw control. The invention can quickly and accurately realize the yaw control of the unmanned aerial vehicle by establishing a feedback closed-loop control system for tracking the course distance deviation and the track angle deviation of the unmanned aerial vehicle in real time.

Description

Unmanned flight feedback nonlinear yaw control method, system and equipment
Technical Field
The invention belongs to the technical field of unmanned aerial vehicle flight control, and particularly relates to an unmanned aerial vehicle flight feedback nonlinear yaw control method, system and equipment.
Background
Unmanned vehicles are widely applied, and the unmanned vehicles autonomously complete flight control according to planned flight path tasks, wherein yaw track control realizes the track tracking in the yaw direction by generating roll angle control instructions through an autonomous control system according to real-time position deviation.
In the traditional unmanned aerial vehicle yaw control, a PID control strategy based on transverse position deviation is mainly adopted, and in order to meet the control response index requirement, a PID system of a deviation signal needs to be subjected to repeated iteration parameter adjustment in the design process, and the parameter adjustment process often needs a designer to have better engineering experience, consumes longer time and sometimes cannot obtain better tracking effect.
Disclosure of Invention
The invention provides a unmanned aerial vehicle feedback nonlinear yaw control method, a system and equipment, which are used for solving the problems of long time consumption and poor tracking effect of the existing unmanned aerial vehicle yaw control technology. The invention can quickly and accurately realize the yaw control of the unmanned aerial vehicle by establishing a feedback closed-loop control system for tracking the distance deviation and the track angle deviation of the aerial vehicle in real time.
The invention is realized by the following technical scheme:
an unmanned aerial feedback nonlinear yaw control method, the control method comprising:
according to the current position coordinates of the unmanned aerial vehicle and the corresponding route coordinates, calculating to obtain the current heading distance deviation of the unmanned aerial vehicle;
according to the speed of the unmanned aerial vehicle in the flight altitude plane, calculating to obtain the current track angle deviation of the unmanned aerial vehicle;
establishing a nonlinear state equation of the course distance deviation and the track angle deviation;
converting the nonlinear state equation into a linear system;
according to the transfer characteristic of the linear system, constructing state feedback according to the course distance deviation and the track angle deviation, so as to convert the linear system into a closed-loop control system;
calculating to obtain a state feedback coefficient according to the design index of the closed-loop control system;
calculating to obtain the state feedback according to the state feedback coefficient;
according to the state feedback, a roll angle real-time instruction is obtained through calculation and is sent to control equipment of the unmanned aerial vehicle for yaw control.
Compared with the existing technology for realizing the yaw control of the unmanned aerial vehicle by adopting the PID control strategy of the transverse position deviation, the technology has higher engineering experience requirements on related personnel, long time consumption, incapability of guaranteeing the tracking effect and the like, and the control technology provided by the invention can quickly and accurately realize the yaw control of the unmanned aerial vehicle by establishing a feedback closed-loop control system for tracking the heading distance deviation and the track angle deviation of the unmanned aerial vehicle in real time; meanwhile, the resolving process in the control technology provided by the invention can be realized only according to the system design parameters, has low engineering experience requirements on related personnel, is convenient for popularization and application of the technology, and provides technical support and data support for the flight safety of unmanned aerial vehicles.
As a preferred embodiment, the present invention sets the coordinates of the P point of the current position of the unmanned aerial vehicle as
Figure SMS_1
The route starting point coordinate corresponding to the current position P point is +.>
Figure SMS_2
The route end point coordinate corresponding to the current position P point is +.>
Figure SMS_3
The current heading distance deviation of the unmanned aerial vehicle is obtained through the following calculation:
Figure SMS_4
in the method, in the process of the invention,
Figure SMS_5
as a preferred embodiment, the invention takes the plane velocity vector of the flying height of the unmanned aerial vehicle as
Figure SMS_6
The current track angle deviation of the unmanned aerial vehicle is obtained through the following calculation:
Figure SMS_7
in the method, in the process of the invention,
Figure SMS_8
,/>
Figure SMS_9
for the route end coordinates +.>
Figure SMS_10
Vector representation of +.>
Figure SMS_11
For the starting point coordinates of the route->
Figure SMS_12
Is the modulus of the vector.
As a preferred embodiment, the nonlinear state equation established by the present invention is:
Figure SMS_13
in the method, in the process of the invention,
Figure SMS_14
acceleration of gravity, ++>
Figure SMS_15
Is thattTime of flight speed,/->
Figure SMS_16
Is thattRoll angle of moment->
Figure SMS_17
Is thattHeading distance deviation of time,/>
Figure SMS_18
Is thattTrack angular deviation of time.
As a preferred embodiment, the method of the invention is introduced
Figure SMS_19
Simultaneously taking
Figure SMS_20
The linear system of conversion is then:
Figure SMS_21
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_22
is thattStatus feedback of time of day->
Figure SMS_23
Is->
Figure SMS_24
Is transformed into->
Figure SMS_25
And (5) the system deviation is brought.
As a preferred embodiment, the state feedback constructed by the present invention is:
Figure SMS_26
the established state equation of the closed-loop control system is as follows:
Figure SMS_27
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_28
for the state quantity->
Figure SMS_29
Is thattCourse distance deviation coefficient of moment,/>
Figure SMS_30
Is thattThe track angle deviation coefficient at the moment;
the characteristic polynomial of the closed-loop control system is as follows:
Figure SMS_31
in the method, in the process of the invention,
Figure SMS_32
for Laplace operator>
Figure SMS_33
And->
Figure SMS_34
Damping ratio and natural frequency of the closed loop control system, respectively.
As a preferred embodiment, the present invention calculates, according to the design index of the closed-loop control system, a state feedback coefficient, which is respectively:
Figure SMS_35
in a preferred embodiment, according to the state feedback coefficient, the state feedback is calculated as:
Figure SMS_36
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_37
is thattStatus feedback of time of day->
Figure SMS_38
Is thattHeading distance deviation of time,/>
Figure SMS_39
Is thattTrack angle deviation of time of day, +.>
Figure SMS_40
Is thattCourse distance deviation coefficient of moment,/>
Figure SMS_41
Is thattThe track angle deviation coefficient at the moment;
and then, according to the relation between the state feedback and the roll angle, calculating to obtain a roll angle real-time instruction.
In a second aspect, the present invention proposes an unmanned flight feedback nonlinear yaw control system, the control system comprising:
a first calculation unit: according to the current position coordinates of the unmanned aerial vehicle and the corresponding route coordinates, calculating to obtain the current heading distance deviation of the unmanned aerial vehicle;
a second calculation unit: according to the speed of the unmanned aerial vehicle in the flight altitude plane, calculating to obtain the current track angle deviation of the unmanned aerial vehicle;
a state equation construction unit: establishing a nonlinear state equation of the course distance deviation and the track angle deviation;
a conversion unit: converting the nonlinear state equation into a linear system;
closed loop control unit: and constructing state feedback according to the transfer characteristic of the linear system by using the heading distance deviation and the track angle deviation: thereby converting the linear system into a closed loop control system;
a third calculation unit: calculating a state feedback coefficient according to the design index of the closed-loop control system, and calculating the state feedback according to the state feedback coefficient;
and a calculation unit: according to the state feedback, a roll angle real-time instruction is obtained through calculation and is sent to control equipment of the unmanned aerial vehicle for yaw control.
In a third aspect the invention proposes an on-board electronic device comprising a memory storing a computer program and a processor implementing the steps of the control method according to the invention as described above when said computer program is executed by said processor.
The invention has the following advantages and beneficial effects:
1. according to the invention, a nonlinear state equation is established by utilizing real-time flight parameters of the unmanned aerial vehicle, the nonlinear state equation is converted into a linear system, and a closed-loop control system with course distance deviation and track angle deviation as state feedback is established, so that a roll angle real-time instruction can be quickly calculated according to design indexes of the system, and yaw control of the unmanned aerial vehicle can be quickly and accurately realized.
2. According to the invention, the real-time roll angle instruction can be obtained by calculation only according to the design index of the system, the engineering experience requirement on a designer is low, and the cost is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention. In the drawings:
fig. 1 is a flowchart of a control method according to an embodiment of the present invention.
Fig. 2 is a real-time parameter relationship during the flight of an unmanned aerial vehicle according to an embodiment of the present invention.
Fig. 3 is a block diagram of a linear system transfer function according to an embodiment of the present invention.
Fig. 4 is a schematic block diagram of a control system according to an embodiment of the present invention.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present invention and the descriptions thereof are for illustrating the present invention only and are not to be construed as limiting the present invention.
Examples:
the engineering experience requirements of related designers are higher and the time consumption is longer for the existing unmanned aerial vehicle yaw control technology; sometimes, a good tracking effect cannot be obtained, and the control accuracy is poor. Based on this, this embodiment proposes an unmanned aerial feedback nonlinear yaw control method, in the flight process of an aircraft, the change of aerodynamic force, centrifugal force and the like can cause the nonlinear response of the change of the yaw angle of the aircraft, so that the nonlinear control technology is adopted to accurately model and control the dynamic response of the aircraft, so that the yaw motion of the aircraft can be controlled more accurately and reliably, and meanwhile, the nonlinear control technology can also better process uncertainty factors (such as wind direction, load and the like) affecting the yaw motion of the aircraft, and improve the robustness and reliability of yaw control, so that the nonlinear control method adopting course distance deviation and track angle deviation as feedback control parameters is provided in this embodiment: the method specifically utilizes real-time parameters in the flight process of the unmanned aerial vehicle to establish a nonlinear state equation, and converts the state equation into a closed-loop control system taking course distance deviation and track angle deviation as state feedback, so that a roll angle real-time instruction can be obtained by quick and accurate calculation according to design indexes of the system, yaw control of the unmanned aerial vehicle is effectively realized, and control precision, robustness and adaptability are improved.
As shown in fig. 1, the method proposed in this embodiment includes the following steps:
step 1, acquiring current position coordinates of the unmanned aerial vehicle and corresponding route coordinates thereof, and calculating to obtain current course distance deviation of the unmanned aerial vehicle according to the acquired coordinate data.
Specifically, when the unmanned aerial vehicle flies on the route, the coordinates of the P point of the current position can be set as
Figure SMS_42
The route coordinates corresponding to the current position P point can be defined by +.>
Figure SMS_43
(i.e. route start point coordinates) and +.>
Figure SMS_44
(i.e., route end coordinates) composition, as shown in FIG. 2, the vertical distance of the current position to the track is calculated +.>
Figure SMS_45
Namely, the current heading distance deviation of the unmanned aerial vehicle is calculated by the following steps:
Figure SMS_46
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_47
it should be noted that, the track of the unmanned aerial vehicle is planned in advance, and the track may be formed by a plurality of segments of the track, so in this embodiment, one segment of the track is represented by a line segment formed by the coordinates of the starting point and the coordinates of the ending point of the track.
The current position coordinates of the unmanned aerial vehicle can be obtained in real time according to a GPS (Global positioning System) and other positioning devices on the unmanned aerial vehicle, and the head-tail coordinates of the route corresponding to the current position of the unmanned aerial vehicle can be directly obtained from a pre-planned route instruction stored on the unmanned aerial vehicle.
And 2, calculating to obtain the current track angle deviation of the unmanned aerial vehicle according to the speed in the plane of the flying height of the unmanned aerial vehicle.
In particular, the in-plane velocity vector of the unmanned aerial vehicle may be expressed as
Figure SMS_48
As shown in fig. 2, the current track angular deviation calculating method is expressed as:
Figure SMS_49
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_50
,/>
Figure SMS_51
for the route end coordinates +.>
Figure SMS_52
Vector representation of +.>
Figure SMS_53
For the starting point coordinates of the route->
Figure SMS_54
Vector representation of->
Figure SMS_55
Is the difference between the coordinate vector of the route end point and the coordinate vector of the route starting point, and I.S. is the modulus of the vector.
And 3, establishing a nonlinear state equation of the course distance deviation and the course angle deviation.
The unmanned aerial vehicle course control realizes yaw control by rolling to generate lateral force, so that the embodiment establishes a state equation of course distance deviation and track angle deviation, expressed as:
Figure SMS_56
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_59
acceleration of gravity, ++>
Figure SMS_62
Is thattTime of flight speed,/->
Figure SMS_64
Is thattRoll angle of moment->
Figure SMS_58
Is thattHeading distance deviation of time,/>
Figure SMS_61
Is->
Figure SMS_63
Differential of->
Figure SMS_65
Is thattTrack angle deviation of time of day, +.>
Figure SMS_57
Is->
Figure SMS_60
Is a derivative of (a).
And 4, converting the nonlinear state equation into a linear system.
The state equation of the course distance deviation and the course angle deviation is a nonlinear equation, so the embodiment introduces
Figure SMS_66
At the same time due to->
Figure SMS_67
Smaller, thus->
Figure SMS_68
Thereby converting the above state equation into a linear system, specifically expressed as:
Figure SMS_69
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_70
is thattStatus feedback of time of day->
Figure SMS_71
Is->
Figure SMS_72
Is transformed into->
Figure SMS_73
The resulting systematic deviation, the open loop transfer function block diagram of the linear system is shown in fig. 3.
And 5, establishing a closed-loop control system with the heading distance deviation and the track angle deviation as state feedback and a state equation thereof according to the linear system.
Specifically, according to the open loop transfer characteristic of the linear system, a state feedback is constructed by using the course distance deviation and the course angle deviation, so that the linear system is converted into a closed loop control system, and the state feedback is expressed as:
Figure SMS_74
the state equation of the closed-loop control system established in this embodiment is as follows:
Figure SMS_75
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_76
for the state quantity->
Figure SMS_77
Is->
Figure SMS_78
Differential of->
Figure SMS_79
And->
Figure SMS_80
Is thattThe state feedback coefficient of the moment (in particular, +.>
Figure SMS_81
Is the heading distance deviation coefficient>
Figure SMS_82
Is the track angular deviation coefficient).
The characteristic polynomials of the system are:
Figure SMS_83
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_84
for Laplace operator>
Figure SMS_85
And->
Figure SMS_86
The damping ratio and the natural frequency of the system are respectively determined by the system control design index.
And step 6, calculating to obtain a state feedback coefficient according to the design index of the closed-loop control system.
According to the damping ratio and the natural frequency of the closed-loop control system, the state feedback coefficients are calculated, and are respectively:
Figure SMS_87
and 7, calculating to obtain state feedback according to the calculated state feedback coefficient.
The embodiment obtains the state feedback coefficient according to the calculation, namely
Figure SMS_88
And->
Figure SMS_89
Calculating to obtain state feedback, namely:
Figure SMS_90
and 8, according to the calculated state feedback, calculating to obtain a roll angle real-time instruction and sending the roll angle real-time instruction to control equipment of the unmanned aerial vehicle for yaw control.
The embodiment obtains state feedback according to the calculation, namely
Figure SMS_91
Resolving to obtain real-time instructions of roll angles
Figure SMS_92
The embodiment also provides an unmanned aerial feedback nonlinear yaw control system, and specifically as shown in fig. 4, the system provided in the embodiment includes:
the first calculation unit is used for acquiring the current position coordinates of the unmanned aerial vehicle and the corresponding route coordinates thereof, and calculating to obtain the current course distance deviation of the unmanned aerial vehicle according to the acquired coordinate data.
And the second calculation unit is used for calculating the current track angle deviation of the unmanned aerial vehicle according to the in-plane speed of the flying height of the unmanned aerial vehicle.
And the state equation construction unit is used for establishing a nonlinear state equation of the course distance deviation and the course angle deviation.
And the conversion unit is used for converting the nonlinear state equation into a linear system.
And the closed-loop control unit establishes a closed-loop control equation with the heading distance deviation and the track angle deviation as state feedback and a state equation thereof according to the linear system.
And the third calculation unit is used for calculating a state feedback coefficient according to the design index of the closed-loop control system and obtaining state feedback according to the state feedback coefficient.
And the calculating unit is used for calculating a roll angle real-time instruction according to the state feedback and sending the roll angle real-time instruction to the control equipment of the unmanned aerial vehicle for yaw control.
The embodiment also provides an onboard electronic device for executing the method of the embodiment.
The on-board electronic device may employ a computer device including a processor, a memory, and a system bus; various device components, including memory and processors, are connected to the system bus. A processor is a piece of hardware used to execute computer program instructions by basic arithmetic and logical operations in a computer system. Memory is a physical device used to temporarily or permanently store computing programs or data (e.g., program state information). The system bus may be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus. The processor and the internal memory may communicate data via a system bus. Where internal memory includes Read Only Memory (ROM) or flash memory, and Random Access Memory (RAM), which generally refers to the main memory loaded with an operating system and computer programs.
It should be noted that other computer systems including more or fewer subsystems than computer devices may also be suitable for use with the invention.
As described in detail above, the computer apparatus adapted to the present embodiment can perform the specified operation of the yaw control method. The computer device performs these operations in the form of software instructions that are executed by a processor in a computer-readable medium. The software instructions may be read into memory from a storage device or from another device via a lan interface. The software instructions stored in the memory cause the processor to perform the method of processing group member information described above. Furthermore, the invention may be implemented by means of hardware circuitry or by means of combination of hardware circuitry and software instructions. Thus, implementation of the present embodiments is not limited to any specific combination of hardware circuitry and software.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (10)

1. An unmanned aerial feedback nonlinear yaw control method, the control method comprising:
according to the current position coordinates of the unmanned aerial vehicle and the corresponding route coordinates, calculating to obtain the current heading distance deviation of the unmanned aerial vehicle;
according to the speed of the unmanned aerial vehicle in the flight altitude plane, calculating to obtain the current track angle deviation of the unmanned aerial vehicle;
establishing a nonlinear state equation of the course distance deviation and the track angle deviation;
converting the nonlinear state equation into a linear system;
according to the transfer characteristic of the linear system, constructing state feedback according to the course distance deviation and the track angle deviation, so as to convert the linear system into a closed-loop control system;
calculating to obtain a state feedback coefficient according to the design index of the closed-loop control system;
calculating to obtain the state feedback according to the state feedback coefficient;
according to the state feedback, a roll angle real-time instruction is obtained through calculation and is sent to control equipment of the unmanned aerial vehicle for yaw control.
2. The unmanned aerial feedback nonlinear yaw control method of claim 1, wherein the coordinates of the P point of the current position of the unmanned aerial vehicle are set as
Figure QLYQS_1
The route starting point coordinate corresponding to the current position P point is +.>
Figure QLYQS_2
The route end point coordinate corresponding to the current position P point is +.>
Figure QLYQS_3
The current heading distance deviation of the unmanned aerial vehicle is obtained through the following calculation:
Figure QLYQS_4
in the method, in the process of the invention,
Figure QLYQS_5
3. the unmanned aerial vehicle feedback nonlinear yaw control method of claim 2, wherein the unmanned aerial vehicle altitude in-plane velocity vector is set to be
Figure QLYQS_6
The current track angle deviation of the unmanned aerial vehicle is obtained through the following calculation:
Figure QLYQS_7
in the method, in the process of the invention,
Figure QLYQS_8
,/>
Figure QLYQS_9
for the route end coordinates +.>
Figure QLYQS_10
Vector representation of +.>
Figure QLYQS_11
For the starting point coordinates of the route->
Figure QLYQS_12
Is the modulus of the vector.
4. The unmanned aerial feedback nonlinear yaw control method of claim 1, wherein the nonlinear state equation established is:
Figure QLYQS_13
in the method, in the process of the invention,
Figure QLYQS_14
acceleration of gravity, ++>
Figure QLYQS_15
Is thattTime of flight speed,/->
Figure QLYQS_16
Is thattRoll angle of moment->
Figure QLYQS_17
Is thattHeading distance deviation of time,/>
Figure QLYQS_18
Is thattTrack angular deviation of time.
5. The unmanned aerial feedback nonlinear yaw control method of claim 4, wherein the method is introduced
Figure QLYQS_19
Taking->
Figure QLYQS_20
The linear system of conversion is then:
Figure QLYQS_21
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_22
is thattStatus feedback of time of day->
Figure QLYQS_23
Is->
Figure QLYQS_24
Is transformed into->
Figure QLYQS_25
And (5) the system deviation is brought.
6. The unmanned aerial feedback nonlinear yaw control method of claim 5, wherein the constructed state feedback is:
Figure QLYQS_26
the established state equation of the closed-loop control system is as follows:
Figure QLYQS_27
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_28
for the state quantity->
Figure QLYQS_29
Is thattCourse distance deviation coefficient of moment,/>
Figure QLYQS_30
Is thattThe track angle deviation coefficient at the moment;
the characteristic polynomial of the closed-loop control system is as follows:
Figure QLYQS_31
in the method, in the process of the invention,
Figure QLYQS_32
for Laplace operator>
Figure QLYQS_33
And->
Figure QLYQS_34
Damping ratio and natural frequency of the closed loop control system, respectively.
7. The unmanned aerial vehicle feedback nonlinear yaw control method of claim 6, wherein the state feedback coefficients are calculated according to the design index of the closed-loop control system, and are respectively:
Figure QLYQS_35
8. the unmanned aerial vehicle feedback nonlinear yaw control method of claim 1, wherein the calculating the state feedback according to the state feedback coefficient is:
Figure QLYQS_36
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_37
is thattStatus feedback of time of day->
Figure QLYQS_38
Is thattHeading distance deviation of time,/>
Figure QLYQS_39
Is thattTrack angle deviation of time of day, +.>
Figure QLYQS_40
Is thattCourse distance deviation coefficient of moment,/>
Figure QLYQS_41
Is thattThe track angle deviation coefficient at the moment;
and then, according to the relation between the state feedback and the roll angle, calculating to obtain a roll angle real-time instruction.
9. An unmanned flight feedback nonlinear yaw control system, the control system comprising:
a first calculation unit: according to the current position coordinates of the unmanned aerial vehicle and the corresponding route coordinates, calculating to obtain the current heading distance deviation of the unmanned aerial vehicle;
a second calculation unit: according to the speed of the unmanned aerial vehicle in the flight altitude plane, calculating to obtain the current track angle deviation of the unmanned aerial vehicle;
a state equation construction unit: establishing a nonlinear state equation of the course distance deviation and the track angle deviation;
a conversion unit: converting the nonlinear state equation into a linear system;
closed loop control unit: and constructing state feedback according to the transfer characteristic of the linear system by using the heading distance deviation and the track angle deviation: thereby converting the linear system into a closed loop control system;
a third calculation unit: calculating a state feedback coefficient according to the design index of the closed-loop control system, and calculating the state feedback according to the state feedback coefficient;
and a calculation unit: according to the state feedback, a roll angle real-time instruction is obtained through calculation and is sent to control equipment of the unmanned aerial vehicle for yaw control.
10. An on-board electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1-8 when the computer program is executed.
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