CN113220031A - Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle - Google Patents

Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle Download PDF

Info

Publication number
CN113220031A
CN113220031A CN202110519566.5A CN202110519566A CN113220031A CN 113220031 A CN113220031 A CN 113220031A CN 202110519566 A CN202110519566 A CN 202110519566A CN 113220031 A CN113220031 A CN 113220031A
Authority
CN
China
Prior art keywords
attitude
aerial vehicle
unmanned aerial
plant protection
protection unmanned
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.)
Pending
Application number
CN202110519566.5A
Other languages
Chinese (zh)
Inventor
王儒敬
刘康
李�瑞
张洁
黄子良
滕越
刘海云
董士风
焦林
王晓栋
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.)
Hefei Institutes of Physical Science of CAS
Original Assignee
Hefei Institutes of Physical Science of CAS
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 Hefei Institutes of Physical Science of CAS filed Critical Hefei Institutes of Physical Science of CAS
Priority to CN202110519566.5A priority Critical patent/CN113220031A/en
Publication of CN113220031A publication Critical patent/CN113220031A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/08Control of attitude, i.e. control of roll, pitch, or yaw
    • G05D1/0808Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G05D1/106Change initiated in response to external conditions, e.g. avoidance of elevated terrain or of no-fly zones

Landscapes

  • Engineering & Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The invention relates to a method for tracking and controlling the attitude of a rotor type plant protection unmanned aerial vehicle based on anti-saturation limited time, which overcomes the defect that the attitude tracking and controlling of the rotor type plant protection unmanned aerial vehicle are difficult to carry out compared with the prior art. The invention comprises the following steps: acquiring expected attitude angle data; acquiring real-time attitude angle data; establishing a complete attitude mathematical model; establishing a complete posture mathematical expansion model; the design of the finite time expansion observer; designing an auxiliary power system; designing a finite time attitude tracking controller; and controlling and adjusting the posture of the rotary wing type plant protection unmanned aerial vehicle. The invention can realize that the rotor type plant protection unmanned aerial vehicle tracks the expected attitude angle signal in a limited time, improves the anti-interference and actuator saturation suppression capability of the flight control system, accelerates the tracking error convergence speed and effectively suppresses the jitter phenomenon output by the system.

Description

Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle
Technical Field
The invention relates to the field of unmanned aerial vehicle control, in particular to a method for tracking and controlling the attitude of a rotary wing type plant protection unmanned aerial vehicle based on anti-saturation limited time.
Background
Along with the continuous improvement of our country to accurate agricultural development requirement, rotor formula plant protection unmanned aerial vehicle relies on its low in manufacturing cost, sprays evenly, easy operation has stronger environmental suitability, is difficult to destroy crops growth environment during the operation etc. a plurality of advantages and receives the extensive attention of industry and academic. Simultaneously, rotor formula plant protection unmanned aerial vehicle accessible remote control carries out remote operation, avoids the direct contact of operating personnel and medicine to the negative effects that the pesticide caused to operating personnel health have been reduced. Compared with the traditional backpack manual operation mode, the rotary-wing type plant protection unmanned aerial vehicle can improve the operation efficiency and reduce the labor intensity of workers.
At present, the research on how to realize high-precision operation of the rotor-type plant protection unmanned aerial vehicle in China is still in the early development stage, and a lot of challenges and obstacles are still faced in the research. Firstly, the rotary wing type plant protection unmanned aerial vehicle has the structural characteristics of under-actuation, strong coupling, high nonlinearity and the like, which requires that a flight control algorithm has strong decoupling property and strong robustness; secondly, due to the complexity and the changeability of the flight environment, the rotor type plant protection unmanned aerial vehicle is easily affected by external disturbance (such as time-varying strong wind disturbance and air resistance), so that the stability of a flight control system is reduced. In addition, in the operation process, structural parameters of the rotor type plant protection unmanned aerial vehicle (such as mass and inertia parameters) are changed continuously, and the flight stability and the operation accuracy are easy to damage. When the unmanned aerial vehicle flies autonomously, the flight track is generally required to be set in advance, and then the unmanned aerial vehicle tracks the position through the flight controller. However, position tracking needs to be achieved by attitude tracking control of the drone. Therefore, designing a high-performance attitude tracking control method is crucial to ensuring stable flight of the unmanned aerial vehicle.
In recent years, many related works are developed aiming at the attitude tracking control problem of the rotor type plant protection unmanned aerial vehicle, and the related works mainly comprise PID control, neural network, sliding mode control and the like. The PID control is used as a linear control strategy with wide application, and has the characteristics of simple design, strong practicability and the like. However, the design process of PID control requires linearization processing of the model of the rotor type plant protection unmanned aerial vehicle at a balanced state, which is not suitable for the operation of the rotor type plant protection unmanned aerial vehicle in a large operation range. The neural network serving as an intelligent control algorithm can accurately approximate a complex nonlinear system, and the modeling difficulty of the nonlinear system is effectively solved. However, the application of the neural network algorithm increases the computational burden and requires a higher-configured computer, making it difficult to widely spread in practical applications. The sliding mode control is a typical robust control method and has the advantages of high response speed, easiness in implementation, strong robustness and the like. Therefore, the control method is very suitable for a high-nonlinearity system such as a rotor-type plant protection unmanned aerial vehicle. However, it is difficult to avoid the chattering phenomenon in the actual output signal. To solve this problem, bounded layer techniques or hyperbolic tangent functions are often used to replace the discontinuous terms in sliding mode control, but these methods reduce the control accuracy of the system. Compared with the gradual stabilization of the system, the finite time stabilization can ensure that the system state reaches the equilibrium state in a finite time range, thereby greatly improving the quality of the control system. In recent years, although finite time stabilization of a dynamic system can be achieved by using a terminal sliding mode surface, there are problems such as singularity and low convergence speed.
Besides, when the rotor type plant protection unmanned aerial vehicle takes off and loads heavy pesticides or water, the actuator is easy to input and saturate, the stability of a flight control system is extremely easy to damage, and a crash accident can be caused seriously or even. Therefore, designing the anti-saturation controller has very important research significance in ensuring the stability and safety of the system. In practical application, the rotor type plant protection unmanned aerial vehicle usually needs to carry an additional speed sensor so as to acquire attitude angular speed information, which greatly increases the equipment cost. Therefore, in order to further reduce the manufacturing cost of the plant protection unmanned aerial vehicle, it is very important to design an effective detection method to acquire attitude angular velocity information.
Disclosure of Invention
The invention aims to solve the defect that the attitude tracking control of a rotor type plant protection unmanned aerial vehicle is difficult in the prior art, and provides a method for controlling the attitude tracking of the rotor type plant protection unmanned aerial vehicle based on anti-saturation limited time to solve the problems.
In order to achieve the purpose, the technical scheme of the invention is as follows:
the attitude tracking control method of the rotor type plant protection unmanned aerial vehicle based on the anti-saturation finite time comprises the following steps:
11) acquisition of desired attitude angle data: acquiring expected attitude angle data input into a flight data memory of the rotor type plant protection unmanned aerial vehicle, wherein the expected attitude angle data is set according to flight attitude requirements of the rotor type plant protection unmanned aerial vehicle;
12) acquiring real-time attitude angle data: gather the real-time data of attitude angle through the attitude sensor that rotor formula plant protection unmanned aerial vehicle carried on to with the real-time attitude angle data storage of gathering in flight data memory, attitude angle real-time data includes: roll angle degree, pitch angle degree and yaw angle degree;
13) establishing a complete posture mathematical model: establishing a complete attitude mathematical model of the rotor type plant protection unmanned aerial vehicle according to the inherent characteristics of the rotor type plant protection unmanned aerial vehicle and the influence of actuator saturation and wind disturbance factors during flying;
14) establishing a complete posture mathematical expansion model: establishing a complete attitude mathematical expansion model of the rotor type plant protection unmanned aerial vehicle based on the complete attitude mathematical model of the rotor type plant protection unmanned aerial vehicle;
15) designing a limited time extended observer: designing a finite time expansion observer based on a complete attitude mathematical expansion model of the rotor type plant protection unmanned aerial vehicle;
16) designing an auxiliary power system: introducing a rapid nonsingular terminal sliding mode surface and designing an auxiliary power system;
17) designing a finite time attitude tracking controller: designing an anti-saturation finite time attitude tracking controller of the rotor type plant protection unmanned aerial vehicle according to the introduced fast nonsingular terminal sliding mode surface, the constructed auxiliary power system and the finite time expansion observer;
18) the control adjustment of rotor type plant protection unmanned aerial vehicle gesture: and tracking and controlling the attitude of the rotor type plant protection unmanned aerial vehicle through the attitude angle real-time data and the expected attitude angle data.
The establishment of the complete attitude mathematical model comprises the following steps:
21) based on an Euler Lagrange modeling method, a dynamic mathematical model of the rotary wing type plant protection unmanned aerial vehicle is established according to the inherent characteristics of the rotary wing type plant protection unmanned aerial vehicle and the influence of actuator saturation and wind disturbance factors during flying, and the specific expression of the dynamic mathematical model is as follows:
Figure BDA0003063383950000031
wherein Ω is [ Ω ]123]TRepresents an attitude angular velocity vector in the inertial coordinate system, J ═ diag (J)1,J2,J3) Representing a positive definite symmetric inertia matrix, the actual input signal sat (u) ═ sat (u)1),sat(u2),sat(u3)]TIs expressed in the form of
Figure BDA0003063383950000041
Wherein u ismaxRepresenting the control signal uiUpper bound of (c), sign function sign (u)i) Is defined as
Figure BDA0003063383950000042
Wind disturbance D ═ D in natural environment1,D2,D3]TIs expressed in the form of
Figure BDA0003063383950000043
Wherein the content of the first and second substances,
Figure BDA0003063383950000044
representing the static wind disturbance constant, ajRepresenting the amplitude, w, of a sinusoidal signaljRepresenting the frequency of a sinusoidal signal, bjRepresenting a phase shift of a sinusoidal signal;
symbol (·)×Represents a skew symmetric matrix which satisfies the following form:
Figure BDA0003063383950000045
22) based on an Euler Lagrange modeling method, a kinematic attitude mathematical model of the rotary wing type plant protection unmanned aerial vehicle is established, and the mathematical expression of the mathematical model is as follows:
Figure BDA0003063383950000046
wherein, theta is [ phi, theta, psi ═ phi]TRepresenting an attitude angle vector under a coordinate system of the rotor-type plant protection unmanned aerial vehicle, phi, theta and psi respectively representing a roll angle degree, a pitch angle degree and a yaw angle degree, and defining a matrix W as
W=R1(θ)R2(φ)
Wherein the content of the first and second substances,
Figure BDA0003063383950000047
23) based on rotor formula plant protection unmanned aerial vehicle's dynamics gesture mathematical model and motion gesture mathematical model, obtain rotor formula plant protection unmanned aerial vehicle's complete gesture mathematical model through basic transformation, its mathematical expression as follows:
Figure BDA0003063383950000048
wherein M is1(Θ) is a symmetric positive definite matrix, whose specific expression is as follows:
Figure BDA0003063383950000051
wherein the content of the first and second substances,
m11=Ix,m12=m14=0,m13=-Ixsinθ,m15=Iycos2φ+Izsin2φ,m16=(Iy-Iz)cosφsinφcosθ,m17=-Ixsinθ,m18=(Iy-Iz) cos phi sin phi cos theta and m19=Ixsin2θ+Iysin2φcos2θ+Izcos2φcos2θ,
Ix,IyAnd IzRepresenting the coefficients of inertia in the x, y and z axes respectively,
Figure BDA0003063383950000052
the Coriolis centrifugal matrix is represented, and the specific expression form is as follows:
Figure BDA0003063383950000053
wherein the content of the first and second substances,
m21=0,
Figure BDA0003063383950000054
Figure BDA0003063383950000055
m24=-m22,
Figure BDA0003063383950000056
Figure BDA0003063383950000057
Figure BDA0003063383950000058
Figure BDA0003063383950000059
Figure BDA00030633839500000510
M3(Θ) represents a rotation matrix, which is expressed in the following concrete form:
Figure BDA0003063383950000061
the establishment of the complete posture mathematical expansion model comprises the following steps:
31) defining an intermediate variable
Figure BDA0003063383950000062
32) Complete attitude mathematical model and intermediate variable z based on rotor type plant protection unmanned aerial vehicle1Establishing a complete attitude mathematical development model of the rotor type plant protection unmanned aerial vehicle, wherein the specific expression form is as follows:
Figure BDA0003063383950000063
wherein the content of the first and second substances,
Figure BDA0003063383950000064
representing a composite disturbance and
Figure BDA0003063383950000065
the design finite time expansion observer is as follows:
Figure BDA0003063383950000066
wherein the content of the first and second substances,
Figure BDA0003063383950000067
and
Figure BDA0003063383950000068
denotes z1And z2Is observed value of1,ξ2,σ1And σ2Each represents the gain of a finite time evolution observer, which satisfies the following condition: xi1>0,ξ2>0,0.5<σ1<1 and σ2=2σ1-1;
Figure BDA0003063383950000069
In a finite time extended observer
Figure BDA00030633839500000610
And
Figure BDA00030633839500000611
are respectively defined as
Figure BDA00030633839500000612
And
Figure BDA00030633839500000613
the design of the auxiliary power system comprises the following steps:
51) introducing a rapid nonsingular terminal sliding mode surface s, wherein the specific expression form is as follows:
Figure BDA00030633839500000614
wherein, thetae=[φ-φd,θ-θd,ψ-ψd]T,
Figure BDA00030633839500000615
m1And m2Is a normal number; l1And p1Is a positive odd constant, and satisfies the condition:
Figure BDA0003063383950000071
and
Figure BDA0003063383950000072
in fast nonsingular terminal sliding-form surfaces
Figure BDA0003063383950000073
And
Figure BDA0003063383950000074
are respectively defined as
Figure BDA0003063383950000075
Phi-phi dn1sign phi-phi dT and
Figure BDA0003063383950000076
52) an auxiliary power system is designed based on the introduced rapid nonsingular terminal sliding mode surface, and the specific expression form is as follows
Figure BDA0003063383950000077
Wherein γ represents an auxiliary power system parameter, Δ u-sat (u), ρ1> 1 and ρ2>0。
The anti-saturation finite time attitude tracking controller of the rotor type plant protection unmanned aerial vehicle is designed as follows:
u=ua+ub+uc
wherein u isa,ubAnd ucAre respectively
Figure BDA0003063383950000078
And
Figure BDA0003063383950000079
Figure BDA00030633839500000710
wherein matrices a1 and a2 are defined as a 1-M1-1M 2 and a 1-M1-1M 3, respectively; l2 and p2 are positive odd numbers and satisfy the condition l2<p2;h1And h2Is a normal number.
The control adjustment of rotor type plant protection unmanned aerial vehicle gesture includes following steps:
71) inputting attitude angle real-time data in the flight data memory into the finite time expansion observer, and outputting real-time attitude angular velocity information and composite disturbance information observed by the finite time expansion observer;
72) inputting the observed real-time attitude angular velocity information and the compound disturbance information as well as expected attitude angle data and real-time attitude angle data in a flight data memory into an anti-saturation finite time attitude tracking controller, and outputting a control signal for adjusting the attitude of the plant protection unmanned aerial vehicle and new real-time attitude angle data;
73) updating and storing the new real-time attitude angle data into a flight data memory;
74) comparing the difference between the expected attitude angle data and the real-time attitude angle data in the flight database memory:
if the sum of the absolute values of the difference values of the three expected attitude angle degrees and the corresponding real-time attitude angle degrees is greater than 1, controlling the parameter m1And m2The value of (A) is increased by 0.2 at the same time until the sum of the absolute values of the differences is less than or equal to 0.5;
if the sum of the absolute values of the differences is less than or equal to 0.5, the parameter m is controlled1And m2The value of (2) is increased by 0.1 at the same time until the sum of the absolute values of the differences is less than or equal to 0.1;
if the sum of the absolute values of the differences is less than or equal to 0.1, the parameter m is controlled1And m2The value of (A) is increased by 0.05 at the same time until the sum of the absolute values of the differences is less than or equal to 0.01;
and if the sum of the absolute values of the difference values is less than or equal to 0.01, the real-time attitude control performance requirement of the rotary wing type plant protection unmanned aerial vehicle is met.
Advantageous effects
Compared with the prior art, the attitude tracking control method of the rotor type plant protection unmanned aerial vehicle based on the anti-saturation limited time can realize that the rotor type plant protection unmanned aerial vehicle tracks an expected attitude angle signal in the limited time, improve the anti-interference and actuator saturation suppression capability of a flight control system, accelerate the convergence speed of tracking error, effectively suppress the jitter phenomenon output by the system, detect the attitude angle speed on line to reduce the design cost of the rotor type plant protection unmanned aerial vehicle, and simultaneously avoid energy loss caused by selecting too large control gain.
The method can ensure that the attitude tracking error of the rotor type plant protection unmanned aerial vehicle is converged to a bounded error area within a limited time; secondly, the method can realize the targets of accurate tracking, jitter elimination and actuator saturation suppression of the attitude track of the rotor type plant protection unmanned aerial vehicle under the condition that wind disturbance and actuator saturation problems exist, and improve the robustness and track tracking quality of the system; then, the method can detect the attitude angular velocity of the rotor type plant protection unmanned aerial vehicle on line and compensate the adverse effect caused by wind disturbance, and meanwhile, the problem of energy loss caused by selecting large control gain due to the fact that the robustness of the system is improved can be avoided.
The method provided by the invention aims to improve the robustness of a flight control system, inhibit the jitter phenomenon, realize the rapid convergence of attitude tracking errors, eliminate the negative influence caused by the saturation of the actuator and avoid the energy loss caused by selecting too large control gain under the flight condition of wind disturbance and actuator saturation of the rotor type plant protection unmanned aerial vehicle, and simultaneously can detect the attitude angular velocity signal on line to reduce the manufacturing cost of the rotor type plant protection unmanned aerial vehicle.
Drawings
FIG. 1 is a sequence diagram of the method of the present invention;
FIG. 2 is a control schematic block diagram of the present invention;
FIG. 3 is a graph of the roll angle real-time tracking response of the present invention;
FIG. 4 is a graph of the pitch real-time tracking response of the present invention;
FIG. 5 is a plot of yaw angle real-time tracking response of the present invention;
FIG. 6 is a graph of attitude angle tracking error response of the present invention;
FIG. 7 is a graph of an actual input response of the present invention;
FIG. 8 is a wind disturbance detection error plot for the limited time extended observer of the present invention;
FIG. 9 is a plot of the attitude angular velocity detection of the limited time development observer of the present invention.
Detailed Description
So that the manner in which the above recited features of the present invention can be understood and readily understood, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings, wherein:
as shown in fig. 1 and fig. 2, the method for controlling attitude tracking of a rotor type plant protection unmanned aerial vehicle based on anti-saturation finite time according to the present invention includes the following steps:
first, acquisition of desired attitude angle data: and acquiring expected attitude angle data input into a flight data memory of the rotor type plant protection unmanned aerial vehicle, wherein the expected attitude angle data is set according to flight attitude requirements of the rotor type plant protection unmanned aerial vehicle.
And step two, acquiring real-time attitude angle data: gather the real-time data of attitude angle through the attitude sensor that rotor formula plant protection unmanned aerial vehicle carried on to with the real-time attitude angle data storage of gathering in flight data memory, attitude angle real-time data includes: roll angle degree, pitch angle degree and yaw angle degree.
Thirdly, establishing a complete posture mathematical model: according to the inherent characteristics of the rotor type plant protection unmanned aerial vehicle and the influence of actuator saturation and wind disturbance factors during flying, a complete attitude mathematical model of the rotor type plant protection unmanned aerial vehicle is established.
It should be particularly noted that, in the long-time flight or take-off phase of the rotor type plant protection unmanned aerial vehicle, the problem of input saturation is easily caused in the actuator, which may damage the stability of the flight system, and the light person may cause the failure of the mission, or even cause the crash accident. In addition, the rotor type plant protection unmanned aerial vehicle can continuously receive the influence of natural wind disturbance when flying, reduces flight system's stability. Therefore, in the mathematical modeling process of the rotor type plant protection unmanned aerial vehicle, the influence of actuator saturation and wind disturbance factors is considered to be beneficial to enhancing the safety and reliability of the system, but the design difficulty of the control system is greatly increased.
The method specifically comprises the following steps of:
(1) based on an Euler Lagrange modeling method, a dynamic mathematical model of the rotary wing type plant protection unmanned aerial vehicle is established according to the inherent characteristics of the rotary wing type plant protection unmanned aerial vehicle and the influence of actuator saturation and wind disturbance factors during flying, and the specific expression of the dynamic mathematical model is as follows:
Figure BDA0003063383950000101
wherein Ω is [ Ω ]123]TRepresents an attitude angular velocity vector in the inertial coordinate system, J ═ diag (J)1,J2,J3) Representing a positive definite symmetric inertia matrix, the actual input signal sat (u) ═ sat (u)1),sat(u2),sat(u3)]TIs expressed in the form of
Figure BDA0003063383950000102
Wherein u ismaxRepresenting the control signal uiUpper bound of (c), sign function sign (u)i) Is defined as
Figure BDA0003063383950000103
Wind disturbance D ═ D in natural environment1,D2,D3]TIs expressed in the form of
Figure BDA0003063383950000104
Wherein the content of the first and second substances,
Figure BDA0003063383950000105
representing the static wind disturbance constant, ajRepresenting the amplitude, w, of a sinusoidal signaljRepresenting the frequency of a sinusoidal signal, bjRepresenting a phase shift of a sinusoidal signal;
symbol (·)×Represents a skew symmetric matrix which satisfies the following form:
Figure BDA0003063383950000106
(2) based on an Euler Lagrange modeling method, a kinematic attitude mathematical model of the rotary wing type plant protection unmanned aerial vehicle is established, and the mathematical expression of the mathematical model is as follows:
Figure BDA0003063383950000111
wherein, theta is [ phi, theta, psi ═ phi]TRepresenting an attitude angle vector under a coordinate system of the rotor-type plant protection unmanned aerial vehicle, phi, theta and psi respectively representing a roll angle degree, a pitch angle degree and a yaw angle degree, and defining a matrix W as
W=R1(θ)R2(φ)
Wherein the content of the first and second substances,
Figure BDA0003063383950000112
(3) based on rotor formula plant protection unmanned aerial vehicle's dynamics gesture mathematical model and motion gesture mathematical model, obtain rotor formula plant protection unmanned aerial vehicle's complete gesture mathematical model through basic transformation, its mathematical expression as follows:
Figure BDA0003063383950000113
wherein M is1(Θ) is a symmetric positive definite matrix, whose specific expression is as follows:
Figure BDA0003063383950000114
wherein the content of the first and second substances,
m11=Ix,m12=m14=0,m13=-Ixsinθ,m15=Iycos2φ+Izsin2φ,m16=(Iy-Iz)cosφsinφcosθ,m17=-Ixsinθ,m18=(Iy-Iz) cos phi sin phi cos theta and m19=Ixsin2θ+Iysin2φcos2θ+Izcos2φcos2θ,
Ix,IyAnd IzRepresenting the coefficients of inertia in the x, y and z axes respectively,
Figure BDA0003063383950000115
the Coriolis centrifugal matrix is represented, and the specific expression form is as follows:
Figure BDA0003063383950000116
wherein the content of the first and second substances,
m21=0,
Figure BDA0003063383950000117
Figure BDA0003063383950000121
Figure BDA0003063383950000122
m24=-m22,
Figure BDA0003063383950000123
Figure BDA0003063383950000124
Figure BDA0003063383950000125
Figure BDA0003063383950000126
Figure BDA0003063383950000127
M3(Θ) represents a rotation matrix, which is expressed in the following concrete form:
Figure BDA0003063383950000128
fourthly, establishing a complete posture mathematical expansion model: based on the complete attitude mathematical model of the rotor type plant protection unmanned aerial vehicle, the complete attitude mathematical expansion model of the rotor type plant protection unmanned aerial vehicle is established.
The method comprises the following specific steps:
(1) defining an intermediate variable
Figure BDA0003063383950000129
(2) Complete attitude mathematical model and intermediate variable z based on rotor type plant protection unmanned aerial vehicle1Establishing a complete attitude mathematical development model of the rotor type plant protection unmanned aerial vehicle, wherein the specific expression form is as follows:
Figure BDA00030633839500001210
wherein the content of the first and second substances,
Figure BDA00030633839500001211
representing a composite disturbance and
Figure BDA00030633839500001212
fifthly, designing the finite time expansion observer: designing a finite time expansion observer based on a complete attitude mathematical expansion model of the rotor type plant protection unmanned aerial vehicle;
Figure BDA0003063383950000131
wherein the content of the first and second substances,
Figure BDA0003063383950000132
and
Figure BDA0003063383950000133
denotes z1And z2Is observed value of1,ξ2,σ1And σ2Each represents the gain of a finite time evolution observer, which satisfies the following condition: xi1>0,ξ2>0,0.5<σ1<1 and σ2=2σ1-1;
Figure BDA0003063383950000134
In a finite time extended observer
Figure BDA0003063383950000135
And
Figure BDA0003063383950000136
are respectively defined as
Figure BDA0003063383950000137
And
Figure BDA0003063383950000138
what should be particularly noted is that, compared with the conventional observer, the finite time expansion observer designed by the invention not only can effectively compensate the adverse effect caused by the composite disturbance, but also can accurately detect the attitude angular velocity information, and more importantly, can realize the finite time convergence of the observation system and improve the detection performance of the observation system.
Sixthly, designing an auxiliary power system: and introducing a quick nonsingular terminal sliding mode surface and designing an auxiliary power system.
The design of the auxiliary power system comprises the following steps:
(1) introducing a rapid nonsingular terminal sliding mode surface s, wherein the specific expression form is as follows:
Figure BDA0003063383950000139
wherein, thetae=[φ-φd,θ-θd,ψ-ψd]T,
Figure BDA00030633839500001310
m1And m2Is a normal number; l1And p1Is a positive odd constant, and satisfies the condition:
Figure BDA00030633839500001311
and
Figure BDA00030633839500001312
in fast nonsingular terminal sliding-form surfaces
Figure BDA00030633839500001313
And
Figure BDA00030633839500001314
are respectively defined as
Figure BDA00030633839500001315
|ψ-
Psi dn1sign psi-psi dT and
Figure BDA0003063383950000141
(2) an auxiliary power system is designed based on the introduced rapid nonsingular terminal sliding mode surface, and the specific expression form is as follows
Figure BDA0003063383950000142
Wherein γ represents an auxiliary power system parameter, Δ u-sat (u), ρ1> 1 and ρ2>0。
What needs to be particularly noted is that the designed fast nonsingular terminal sliding mode surface can improve the convergence speed of the system state after reaching the sliding mode surface and avoid the singularity problem; the designed auxiliary power system does not require that the control signal be bounded and the system is time-limited to converge, which improves the input saturation rejection quality of the flight system; in addition to this, the control parameter ρ may be increased1And ρ2To increase the speed of eliminating input saturation.
And seventhly, designing a finite time attitude tracking controller: according to the introduced fast nonsingular terminal sliding mode surface, the constructed auxiliary power system and the limited time expansion observer, the anti-saturation limited time attitude tracking controller of the rotor type plant protection unmanned aerial vehicle is designed.
The anti-saturation finite time attitude tracking controller of the rotor type plant protection unmanned aerial vehicle is designed as follows:
u=ua+ub+uc
wherein u isa,ubAnd ucAre respectively
Figure BDA0003063383950000143
And
Figure BDA0003063383950000144
Figure BDA0003063383950000145
wherein matrices a1 and a2 are defined as a 1-M1-1M 2 and a 1-M1-1M 3, respectively; l2 and p2 are positive odd numbers and satisfy the condition l2<P2;h1And h2Is a normal number.
Eighth step, the control adjustment of rotor type plant protection unmanned aerial vehicle gesture: and tracking and controlling the attitude of the rotor type plant protection unmanned aerial vehicle through the attitude angle real-time data and the expected attitude angle data.
(1) Inputting attitude angle real-time data in the flight data memory into the finite time expansion observer, and outputting real-time attitude angular velocity information and composite disturbance information observed by the finite time expansion observer;
(2) inputting the observed real-time attitude angular velocity information and the compound disturbance information as well as expected attitude angle data and real-time attitude angle data in a flight data memory into an anti-saturation finite time attitude tracking controller, and outputting a control signal for adjusting the attitude of the plant protection unmanned aerial vehicle and new real-time attitude angle data;
(3) updating and storing the new real-time attitude angle data into a flight data memory;
(4) comparing the difference between the expected attitude angle data and the real-time attitude angle data in the flight database memory:
if the sum of the absolute values of the difference values of the three expected attitude angle degrees and the corresponding real-time attitude angle degrees is greater than 1, controlling the parameter m1And m2The value of (A) is increased by 0.2 at the same time until the sum of the absolute values of the differences is less than or equal to 0.5;
if the sum of the absolute values of the differences is less than or equal to 0.5, the parameter m is controlled1And m2The value of (2) is increased by 0.1 at the same time until the sum of the absolute values of the differences is less than or equal to 0.1;
if the sum of the absolute values of the differences is less than or equal to 0.1, the parameter m is controlled1And m2The value of (A) is increased by 0.05 at the same time until the sum of the absolute values of the differences is less than or equal to 0.01;
and if the sum of the absolute values of the difference values is less than or equal to 0.01, the real-time attitude control performance requirement of the rotary wing type plant protection unmanned aerial vehicle is met.
In order to prove that the tracking error signal of the rotary wing type plant protection unmanned aerial vehicle converges to a bounded region in a limited time range, the following composite Lyapunov function is designedNumber V1
Figure BDA0003063383950000151
For the composite Lyapunov function V1Solving a first derivative, and bringing the designed fast nonsingular terminal sliding mode surface, the auxiliary power system and the anti-saturation finite time attitude tracking controller into the first derivative to obtain:
Figure BDA0003063383950000152
wherein the content of the first and second substances,
Figure BDA0003063383950000153
and
Figure BDA0003063383950000154
Figure BDA0003063383950000155
if case 1 is satisfied:
Figure BDA0003063383950000156
then the composite Lyapunov function V1First derivative of
Figure BDA0003063383950000157
Can be changed into
Figure BDA0003063383950000161
Therein, Ψ1=min{λmin(H1-H3s-1),σ1-1},Ψ2=min{λmin(H2),σ2And
Figure BDA0003063383950000162
according to Lyapunov finite timeThe stability principle can be known, and the composite Lyapunov function V1At a finite time t1Converging to zero. In this case, the finite time t1Is calculated by
Figure BDA0003063383950000163
If case 2 is satisfied:
Figure BDA0003063383950000164
then the composite Lyapunov function V1First derivative of
Figure BDA0003063383950000165
Can be changed into
Figure BDA0003063383950000166
Therein, Ψ3=min{λmin(H1),σ1-1},
Figure BDA0003063383950000167
According to the Lyapunov finite time stability principle, the composite Lyapunov function V1At a finite time t1Converging to zero. In this case, the finite time t2Is calculated by
Figure BDA0003063383950000168
Combining case 1 and case 2, the fast nonsingular terminal sliding mode surface s is in the limited time t3Converge into the following bounded region Λ:
Figure BDA0003063383950000169
wherein the finite time t3Is t3=min{t1,t2}。
Based on designed fast nonsingular sliding mode surface s and bounded region LambdaTracking error of attitude angle thetaeAt a finite time t4Converge to the following bounded area Δ:
Figure BDA00030633839500001610
wherein the finite time t4Is calculated by
Figure BDA0003063383950000171
Therefore, the convergence time required for the attitude angle of the rotor-type plant protection unmanned aerial vehicle to approach from the initial state to the desired attitude angle signal is T ═ T3+t4
It is to be noted that in particular,
Figure BDA0003063383950000172
is a gaussian hypergeometric function. If it is not
Figure BDA0003063383950000173
Middle alpha1,α2And alpha3Are all positive numbers, α4Is a negative number and satisfies the condition alpha321If greater than 0, then
Figure BDA0003063383950000174
Is a convergence function. Thus, a finite time t can be obtained4Is convergence.
In conclusion, under the influence of wind disturbance and actuator saturation of the rotor type plant protection unmanned aerial vehicle, the designed anti-saturation finite time attitude tracking controller can ensure the finite time stability of the whole closed-loop system, improve the robustness of the system and the anti-saturation capacity of the actuator, accelerate the error convergence speed, effectively inhibit the jitter phenomenon, detect the attitude angular speed on line to reduce the design cost of the rotor type plant protection unmanned aerial vehicle, and simultaneously avoid energy loss caused by selecting too large control gain.
In order to verify the effectiveness of the controller provided by the invention, in a specific embodiment, a rotor type plant protection unmanned aerial vehicle attitude tracking control system is built on a MATLAB/Simulink simulation platform.
In an embodiment of the present invention, the desired attitude angle trajectory is adopted as
Figure BDA0003063383950000175
Figure BDA0003063383950000176
(unit: rad),
the inertia matrix is J ═ diag (0.055,0.055,0.098) (unit: kg · m2),
Wind disturbance in natural environment is
Figure BDA0003063383950000177
6+3sin4 pi T5+710+3sin pi T4+410,3+2sin3 pi T5+310+6cos pi T4+410T (unit: N.m), and the upper bound value of the actual input signal is umax0.3 (unit: N · m).
In addition, in order to better simulate the actual flight environment, sensor noise was added to the simulation, and the value was set to 0.1. The selected control parameters are as follows: n is1=2.5,l1=9,p1=5,l2=5,p2=9,m1=25,m2=0.6,h1=10,h2=15,σ1=0.6,σ20.4 and xi1=ξ235. The sampling time is t ═ 0.01 (unit: s). Fig. 3 is a roll angle real-time tracking response graph, fig. 4 is a pitch angle real-time tracking response graph, fig. 5 is a yaw angle real-time tracking response graph, fig. 6 is an attitude angle tracking error response graph, fig. 7 is an actual input response graph, fig. 8 is a wind disturbance detection error graph of a limited time extended observer, and fig. 9 is an attitude angular velocity detection graph of the limited time extended observer. As can be seen from fig. 3 to 5, under the influence of external wind disturbance and input saturation, the real-time roll angle signal, the real-time pitch angle signal and the real-time yaw angle signal of the rotor-type plant protection unmanned aerial vehicle can accurately track the upper expected roll angle signal, the upper expected pitch angle signal and the upper expected yaw angle signal respectively. From fig. 6, the present invention can be seenThe attitude control method designed by the invention can ensure that the attitude angle error signal is converged to be close to 0. It can be seen from fig. 7 that the actual control signal is within the saturation range (-0.3) and no chattering occurs. It can be seen from fig. 8 that the limited time expansion observer designed by the present invention can ensure that the detection error of the complex disturbance thereof is within a small range. It can be seen from fig. 9 that the finite time expansion observer designed by the present invention can effectively detect the real-time attitude angle signal.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (7)

1. A method for tracking and controlling the attitude of a rotary wing type plant protection unmanned aerial vehicle based on anti-saturation finite time is characterized by comprising the following steps:
11) acquisition of desired attitude angle data: acquiring expected attitude angle data input into a flight data memory of the rotor type plant protection unmanned aerial vehicle, wherein the expected attitude angle data is set according to flight attitude requirements of the rotor type plant protection unmanned aerial vehicle;
12) acquiring real-time attitude angle data: gather the real-time data of attitude angle through the attitude sensor that rotor formula plant protection unmanned aerial vehicle carried on to with the real-time attitude angle data storage of gathering in flight data memory, attitude angle real-time data includes: roll angle degree, pitch angle degree and yaw angle degree;
13) establishing a complete posture mathematical model: establishing a complete attitude mathematical model of the rotor type plant protection unmanned aerial vehicle according to the inherent characteristics of the rotor type plant protection unmanned aerial vehicle and the influence of actuator saturation and wind disturbance factors during flying;
14) establishing a complete posture mathematical expansion model: establishing a complete attitude mathematical expansion model of the rotor type plant protection unmanned aerial vehicle based on the complete attitude mathematical model of the rotor type plant protection unmanned aerial vehicle;
15) designing a limited time extended observer: designing a finite time expansion observer based on a complete attitude mathematical expansion model of the rotor type plant protection unmanned aerial vehicle;
16) designing an auxiliary power system: introducing a rapid nonsingular terminal sliding mode surface and designing an auxiliary power system;
17) designing a finite time attitude tracking controller: designing an anti-saturation finite time attitude tracking controller of the rotor type plant protection unmanned aerial vehicle according to the introduced fast nonsingular terminal sliding mode surface, the constructed auxiliary power system and the finite time expansion observer;
18) the control adjustment of rotor type plant protection unmanned aerial vehicle gesture: and tracking and controlling the attitude of the rotor type plant protection unmanned aerial vehicle through the attitude angle real-time data and the expected attitude angle data.
2. The anti-saturation finite time-based attitude tracking control method for rotor-type plant protection unmanned aerial vehicle according to claim 1, wherein the establishment of the complete attitude mathematical model comprises the following steps:
21) based on an Euler Lagrange modeling method, a dynamic mathematical model of the rotary wing type plant protection unmanned aerial vehicle is established according to the inherent characteristics of the rotary wing type plant protection unmanned aerial vehicle and the influence of actuator saturation and wind disturbance factors during flying, and the specific expression of the dynamic mathematical model is as follows:
Figure FDA0003063383940000011
wherein Ω is [ Ω ]1,Ω2,Ω3]TRepresents an attitude angular velocity vector in the inertial coordinate system, J ═ diag (J)1,J2,J3) Representing a positive definite symmetric inertia matrix, the actual input signal sat (u) ═ sat (u)1),sat(u2),sat(u3)]TIs expressed byIn the form of
Figure FDA0003063383940000021
Wherein u ismaxRepresenting the control signal uiUpper bound of (c), sign function sign (u)i) Is defined as
Figure FDA0003063383940000022
Wind disturbance D ═ D in natural environment1,D2,D3]TIs expressed in the form of
Figure FDA0003063383940000023
Wherein the content of the first and second substances,
Figure FDA0003063383940000024
representing the static wind disturbance constant, ajRepresenting the amplitude, w, of a sinusoidal signaljRepresenting the frequency of a sinusoidal signal, bjRepresenting a phase shift of a sinusoidal signal;
symbol (·)×Represents a skew symmetric matrix which satisfies the following form:
Figure FDA0003063383940000025
22) based on an Euler Lagrange modeling method, a kinematic attitude mathematical model of the rotary wing type plant protection unmanned aerial vehicle is established, and the mathematical expression of the mathematical model is as follows:
Figure FDA0003063383940000026
wherein, theta is [ phi, theta, psi ═ phi]TExpressed in rotor type plant protection unmanned planeThe attitude angle vector under the machine coordinate system, phi, theta and psi respectively represent the roll angle degree, the pitch angle degree and the yaw angle degree, and the matrix W is defined as
W=R1(θ)R2(φ)
Wherein the content of the first and second substances,
Figure FDA0003063383940000027
23) based on rotor formula plant protection unmanned aerial vehicle's dynamics gesture mathematical model and motion gesture mathematical model, obtain rotor formula plant protection unmanned aerial vehicle's complete gesture mathematical model through basic transformation, its mathematical expression as follows:
Figure FDA0003063383940000031
wherein M is1(Θ) is a symmetric positive definite matrix, whose specific expression is as follows:
Figure FDA0003063383940000032
wherein the content of the first and second substances,
m11=Ix,m12=m14=0,m13=-Ixsinθ,m15=Iycos2φ+Izsin2φ,m16=(Iy-Iz)cosφsinφcosθ,m17=-Ixsinθ,m18=(Iy-Iz) cos phi sin phi cos theta and m19=Ixsin2θ+Iysin2φcos2θ+Izcos2φcos2θ,
Ix,IyAnd IzRepresenting the coefficients of inertia in the x, y and z axes respectively,
Figure FDA0003063383940000033
the Coriolis centrifugal matrix is represented, and the specific expression form is as follows:
Figure FDA0003063383940000034
wherein the content of the first and second substances,
m21=0,
Figure FDA0003063383940000035
Figure FDA0003063383940000036
m24=-m22
Figure FDA0003063383940000037
Figure FDA0003063383940000038
Figure FDA0003063383940000039
Figure FDA00030633839400000310
Figure FDA0003063383940000041
M3(Θ) represents a rotation matrix, which is expressed in the following concrete form:
Figure FDA0003063383940000042
3. the anti-saturation finite time-based attitude tracking control method for the rotary-wing type plant protection unmanned aerial vehicle according to claim 1, wherein the establishment of the complete attitude mathematical expansion model comprises the following steps:
31) defining an intermediate variable
Figure FDA0003063383940000043
32) Complete attitude mathematical model and intermediate variable z based on rotor type plant protection unmanned aerial vehicle1Establishing a complete attitude mathematical development model of the rotor type plant protection unmanned aerial vehicle, wherein the specific expression form is as follows:
Figure FDA0003063383940000044
wherein the content of the first and second substances,
Figure FDA0003063383940000045
representing a composite disturbance and
Figure FDA0003063383940000046
4. the attitude tracking control method of the anti-saturation finite time-based rotor type plant protection unmanned aerial vehicle according to claim 1, wherein the design finite time expansion observer is as follows:
Figure FDA0003063383940000047
wherein the content of the first and second substances,
Figure FDA0003063383940000048
and
Figure FDA0003063383940000049
denotes z1And z2Is observed value of1,ξ2,σ1And σ2Each represents the gain of a finite time evolution observer, which satisfies the following condition: xi1>0,ξ2>0,0.5<σ1< 1 and σ2=2σ1-1;
Figure FDA00030633839400000410
In a finite time extended observer
Figure FDA00030633839400000411
And
Figure FDA00030633839400000412
are respectively defined as
Figure FDA00030633839400000413
Figure FDA00030633839400000414
And
Figure FDA00030633839400000415
Figure FDA0003063383940000051
5. the attitude tracking control method of the anti-saturation finite time-based rotor type plant protection unmanned aerial vehicle according to claim 1, wherein the design of the auxiliary power system comprises the following steps:
51) introducing a rapid nonsingular terminal sliding mode surface s, wherein the specific expression form is as follows:
Figure FDA0003063383940000052
wherein, thetae=[φ-φd,θ-θd,ψ-ψd]T
Figure FDA0003063383940000053
m1And m2Is a normal number; l1And p1Is a positive odd constant, and satisfies the condition:
Figure FDA0003063383940000054
and
Figure FDA0003063383940000055
in fast nonsingular terminal sliding-form surfaces
Figure FDA0003063383940000056
And
Figure FDA0003063383940000057
are respectively defined as
Figure FDA0003063383940000058
Figure FDA0003063383940000059
And
Figure FDA00030633839400000510
52) an auxiliary power system is designed based on the introduced rapid nonsingular terminal sliding mode surface, and the specific expression form is as follows
Figure FDA00030633839400000511
Wherein γ represents an auxiliary power system parameter, Δ u-sat (u), ρ1> 1 and ρ2>0。
6. The attitude tracking control method of the rotor type plant protection unmanned aerial vehicle based on anti-saturation limited time according to claim 1, wherein the anti-saturation limited time attitude tracking controller of the rotor type plant protection unmanned aerial vehicle is designed to:
u=ua+ub+uc
wherein u isa,ubAnd ucAre respectively
Figure FDA00030633839400000512
And
Figure FDA00030633839400000513
Figure FDA00030633839400000514
wherein the matrix A1And A2Are respectively defined as
Figure FDA00030633839400000515
And
Figure FDA00030633839400000516
l2and p2Is a positive odd number and satisfies the condition l2<p2;h1And h2Is a normal number.
7. The method for tracking and controlling the attitude of the rotor type plant protection unmanned aerial vehicle based on the anti-saturation finite time according to claim 1, wherein the control and adjustment of the attitude of the rotor type plant protection unmanned aerial vehicle comprises the following steps:
71) inputting attitude angle real-time data in the flight data memory into the finite time expansion observer, and outputting real-time attitude angular velocity information and composite disturbance information observed by the finite time expansion observer;
72) inputting the observed real-time attitude angular velocity information and the compound disturbance information as well as expected attitude angle data and real-time attitude angle data in a flight data memory into an anti-saturation finite time attitude tracking controller, and outputting a control signal for adjusting the attitude of the plant protection unmanned aerial vehicle and new real-time attitude angle data;
73) updating and storing the new real-time attitude angle data into a flight data memory;
74) comparing the difference between the expected attitude angle data and the real-time attitude angle data in the flight database memory:
if the sum of the absolute values of the difference values of the three expected attitude angle degrees and the corresponding real-time attitude angle degrees is greater than 1, controlling the parameter m1And m2The value of (A) is increased by 0.2 at the same time until the sum of the absolute values of the differences is less than or equal to 0.5;
if the sum of the absolute values of the differences is less than or equal to 0.5, the parameter m is controlled1And m2The value of (2) is increased by 0.1 at the same time until the sum of the absolute values of the differences is less than or equal to 0.1;
if the sum of the absolute values of the differences is less than or equal to 0.1, the parameter m is controlled1And m2The value of (A) is increased by 0.05 at the same time until the sum of the absolute values of the differences is less than or equal to 0.01;
and if the sum of the absolute values of the difference values is less than or equal to 0.01, the real-time attitude control performance requirement of the rotary wing type plant protection unmanned aerial vehicle is met.
CN202110519566.5A 2021-05-13 2021-05-13 Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle Pending CN113220031A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110519566.5A CN113220031A (en) 2021-05-13 2021-05-13 Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110519566.5A CN113220031A (en) 2021-05-13 2021-05-13 Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle

Publications (1)

Publication Number Publication Date
CN113220031A true CN113220031A (en) 2021-08-06

Family

ID=77095679

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110519566.5A Pending CN113220031A (en) 2021-05-13 2021-05-13 Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle

Country Status (1)

Country Link
CN (1) CN113220031A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113961010A (en) * 2021-08-26 2022-01-21 中国科学院合肥物质科学研究院 Four-rotor plant protection unmanned aerial vehicle tracking control method based on anti-saturation finite time self-adaptive neural network fault-tolerant technology
CN114185357A (en) * 2021-11-19 2022-03-15 合肥中科融道智能科技有限公司 Attitude tracking control method of power inspection unmanned aerial vehicle based on self-adaptive finite time fuzzy system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9663252B1 (en) * 2016-12-07 2017-05-30 Beihang University Method for attitude controlling based on finite time friction estimation for flexible spacecraft
CN106774373A (en) * 2017-01-12 2017-05-31 哈尔滨工业大学 A kind of four rotor wing unmanned aerial vehicle finite time Attitude tracking control methods
US20170153650A1 (en) * 2015-11-30 2017-06-01 Metal Industries Research & Development Centre Multiple rotors aircraft and control method
CN107577144A (en) * 2017-08-22 2018-01-12 浙江工业大学 Aircraft finite time self-adaptive attitude control method based on enhanced exponential approximation law
CN108845586A (en) * 2018-05-28 2018-11-20 浙江工业大学 Finite time control method of four-rotor aircraft based on hyperbolic sine enhanced constant-speed approach law and fast terminal sliding mode surface

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170153650A1 (en) * 2015-11-30 2017-06-01 Metal Industries Research & Development Centre Multiple rotors aircraft and control method
US9663252B1 (en) * 2016-12-07 2017-05-30 Beihang University Method for attitude controlling based on finite time friction estimation for flexible spacecraft
CN106774373A (en) * 2017-01-12 2017-05-31 哈尔滨工业大学 A kind of four rotor wing unmanned aerial vehicle finite time Attitude tracking control methods
CN107577144A (en) * 2017-08-22 2018-01-12 浙江工业大学 Aircraft finite time self-adaptive attitude control method based on enhanced exponential approximation law
CN108845586A (en) * 2018-05-28 2018-11-20 浙江工业大学 Finite time control method of four-rotor aircraft based on hyperbolic sine enhanced constant-speed approach law and fast terminal sliding mode surface

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
LIU, K,ET AL.: "Antisaturation Finite-Time Attitude Tracking Control Based Observer for a Quadrotor", 《 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS》 *
安炳合等: "基于自抗扰终端滑模的高速滑翔飞行器姿态控制", 《弹箭与制导学报》 *
沈林武等: "基于快速终端滑模面的两旋翼飞行器有限时间姿态控制", 《计算机测量与控制》 *
都延丽等: "高超声速飞行器自适应抗饱和再入控制", 《南京航空航天大学学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113961010A (en) * 2021-08-26 2022-01-21 中国科学院合肥物质科学研究院 Four-rotor plant protection unmanned aerial vehicle tracking control method based on anti-saturation finite time self-adaptive neural network fault-tolerant technology
CN113961010B (en) * 2021-08-26 2023-07-18 中国科学院合肥物质科学研究院 Tracking control method for four-rotor plant protection unmanned aerial vehicle
CN114185357A (en) * 2021-11-19 2022-03-15 合肥中科融道智能科技有限公司 Attitude tracking control method of power inspection unmanned aerial vehicle based on self-adaptive finite time fuzzy system
CN114185357B (en) * 2021-11-19 2022-06-10 合肥中科融道智能科技有限公司 Attitude tracking control method of power inspection unmanned aerial vehicle based on self-adaptive finite time fuzzy system

Similar Documents

Publication Publication Date Title
Yu et al. Decentralized fractional-order backstepping fault-tolerant control of multi-UAVs against actuator faults and wind effects
CN104950898B (en) A kind of full rank non-singular terminal Sliding Mode Attitude control method of reentry vehicle
CN109541941B (en) Self-adaptive amplification anti-interference fault-tolerant method for active section flight of vertical take-off and landing carrier
Tang et al. An integral TSMC-based adaptive fault-tolerant control for quadrotor with external disturbances and parametric uncertainties
CN105911866B (en) Finite time full-order sliding mode control method of four-rotor unmanned aerial vehicle
Huang et al. Fixed-time autonomous shipboard landing control of a helicopter with external disturbances
CN110442020B (en) Novel fault-tolerant control method based on whale optimization algorithm
CN103777641B (en) The compound Auto-disturbance-rejection Control of aircraft tracing control
CN107562068B (en) Dynamic surface output regulation control method for attitude of four-rotor aircraft
CN108181920B (en) High-precision attitude tracking control method for quad-rotor unmanned aerial vehicle based on given time
Wen et al. Optimized backstepping tracking control using reinforcement learning for quadrotor unmanned aerial vehicle system
Yan et al. Extended state observer‐based sliding mode fault‐tolerant control for unmanned autonomous helicopter with wind gusts
CN109521786A (en) Quadrotor drone Sliding Mode Attitude control method based on Proportional integral observer
CN105912009B (en) Four-rotor aircraft control method based on pole allocation and fuzzy active disturbance rejection control technology
CN111324142B (en) Disturbance compensation control method for missile pilot
CN108803648A (en) Unmanned vehicle robust attitude control method, device and electronic equipment
CN113220031A (en) Anti-saturation finite time-based attitude tracking control method for rotary wing type plant protection unmanned aerial vehicle
Xu et al. Adaptive prescribed performance terminal sliding mode attitude control for quadrotor under input saturation
CN109507890A (en) A kind of unmanned plane dynamic inverse generalized predictive controller based on ESO
Cisneros et al. Linear parameter-varying controller design for a nonlinear quad-rotor helicopter model for high speed trajectory tracking
Ma et al. Adaptive backstepping-based neural network control for hypersonic reentry vehicle with input constraints
CN108681331A (en) A kind of Attitude tracking control method of Near Space Flying Vehicles
CN113961010B (en) Tracking control method for four-rotor plant protection unmanned aerial vehicle
CN111813140A (en) High-precision trajectory tracking control method for quad-rotor unmanned aerial vehicle
Yan et al. Adaptive tracking flight control for unmanned autonomous helicopter with full state constraints and actuator faults

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20210806

RJ01 Rejection of invention patent application after publication