CN105759832A - Four-rotor aircraft sliding mode variable structure control method based on inversion method - Google Patents

Four-rotor aircraft sliding mode variable structure control method based on inversion method Download PDF

Info

Publication number
CN105759832A
CN105759832A CN201610341092.9A CN201610341092A CN105759832A CN 105759832 A CN105759832 A CN 105759832A CN 201610341092 A CN201610341092 A CN 201610341092A CN 105759832 A CN105759832 A CN 105759832A
Authority
CN
China
Prior art keywords
sliding mode
channel
rotor aircraft
centerdot
aircraft
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
CN201610341092.9A
Other languages
Chinese (zh)
Inventor
吴怀宇
牛洪芳
陈鹏震
程果
龙文
王正熙
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.)
Wuhan University of Science and Engineering WUSE
Original Assignee
Wuhan University of Science and Engineering WUSE
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 Wuhan University of Science and Engineering WUSE filed Critical Wuhan University of Science and Engineering WUSE
Priority to CN201610341092.9A priority Critical patent/CN105759832A/en
Publication of CN105759832A publication Critical patent/CN105759832A/en
Pending legal-status Critical Current

Links

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
    • G05D1/0816Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability
    • 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

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)
  • Feedback Control In General (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The invention discloses a four-rotor aircraft sliding mode variable structure control method based on an inversion method. The four-rotor aircraft sliding mode variable structure control method comprises the steps that firstly, a four-rotor aircraft kinetic model is analyzed and simplified and is systematically decomposed into an all-wheel-drive subsystem and an under-actuation subsystem; further, the inversion control method is utilized to derive a sliding mode control face with a sliding mode variable structure control theory as a basis, control laws are designed for the two subsystems, and the system stability is verified through a Lyapunov stability theory; finally, a controller of a four-rotor aircraft is designed out. The four-rotor aircraft sliding mode variable structure control method is integrated with the inversion method, is used for controlling spot hover and trajectory tracking control of the aircraft, analyzes the dynamic nature and the stability of the aircraft, effectively improves the response speed and control accuracy of the four-rotor aircraft and improves anti-interference performance of a system.

Description

Four-rotor aircraft sliding mode variable structure control method based on inversion method
Technical Field
The invention relates to a four-rotor aircraft sliding mode variable structure control method based on an inversion method, and belongs to the technical field of aircraft control.
Background
In recent years, four-rotor aircraft gradually becomes a research hotspot of researchers in the field of aviation, and as an unmanned aircraft, the unmanned aircraft has unique advantages and has low requirements on environment and places, so that the unmanned aircraft is more and more widely applied in the military and civil fields, including investigation, environment monitoring, power inspection, aerial photography, disaster rescue and the like. The rotating speeds of four propellers of the four-rotor aircraft are changed, various flight attitudes can be changed, and six-degree-of-freedom motions such as vertical lifting, fixed-point hovering and trajectory tracking are realized. At present, scholars have achieved a lot of achievements on an aircraft, however, the aircraft has the characteristics of nonlinearity, strong coupling, underactuation and the like, so that the dynamic model of the aircraft is very complex and the design of a controller is very complicated, and therefore a better control method is needed to ensure the flight quality of the four-rotor aircraft, wherein attitude control is the basic requirement of stable flight of the aircraft.
The method for controlling the four-rotor aircraft has various methods, including PID control, LQ control, DI control and the like, the PID control is the most common, although the method has certain robustness, the control effect is not ideal when the method is interfered by the outside, the method cannot adapt to a complex and variable environment, meanwhile, the PID control and the LQ control ignore nonlinear factors of a model, the precision of the model is poor, and the control precision is influenced. Sliding mode variable structure control is a strategy of a variable structure control system, and the fundamental difference of the control strategy from the conventional control lies in the discontinuity of control, namely, a switch characteristic which makes the system 'structure' change along with time. The design of an independent sliding mode controller is carried out on the aircraft, the attitude angle needs to be derived by high-order nonlinear constraint, the parameter uncertainty of the system is increased, the control effect is poor, and even the instability of the four-rotor aircraft is caused.
Disclosure of Invention
Aiming at the problems of the prior art, the technical problems to be solved by the invention are as follows: the method for controlling the sliding mode variable structure of the four-rotor aircraft based on the inversion method is provided, so that the controller of the aircraft has strong robustness to external interference and more stable performance.
In order to solve the technical problems, the invention adopts the following technical scheme:
a four-rotor aircraft sliding mode variable structure control method based on an inversion method is characterized by comprising the following steps: the expected track of the four-rotor aircraft is given, then the roll angle and the pitch angle which need to rotate are calculated by an inversion control method, the current control law obtained by a sliding mode control method is sent to a four-rotor aircraft dynamics model by combining three attitude angles of the aircraft, and the hovering and track tracking motions of the aircraft are effectively controlled.
In the above technical scheme, the method specifically comprises the following steps:
step S1: establishing a four-rotor aircraft dynamic model, and determining the relation between the angular speed input of four motors of the aircraft and the attitude and position, and the relation between the expected track and the attitude angle:
step S2: designing a four-rotor aircraft controller: according to the dynamics characteristics of the four-rotor aircraft, dividing the dynamics model established in the step S1 into a full-drive subsystem and an under-drive subsystem, and designing a sliding mode controller by adopting a sliding mode variable structure control method based on an inversion method;
step S3: and (4) after the design of the controller is finished, obtaining a current control law through a sliding mode control method, sending the current control law into the four-rotor aircraft dynamic model in the step S1, and feeding the generated state variables back to the position ring and the attitude ring so as to control the four-rotor aircraft to stably fly and effectively control the hovering and track tracking motions of the aircraft.
In the above technical solution, step S1 is to establish a four-rotor aircraft dynamics model as shown in formula (1):
in the formula: theta is a pitch angle, gamma is a roll angle,is a yaw angle and is three attitude angles; j. the design is a squarex、Jy、JzRespectively the rotational inertia of the four-rotor aircraft body around three axes of a body coordinate system; l is the distance from the center of a propeller of the four-rotor aircraft to the origin of a coordinate system of the aircraft body; g is the acceleration of gravity; m is the mass of the quad-rotor aircraft; x, y and z are position quantities of the four-rotor aircraft in a navigation coordinate system respectively; omega1,ω2,ω3,ω4The input angular speeds of four motors of the four-rotor aircraft are respectively; equation (1) is self for 6 directionsEquations after degree decoupling; the degrees of freedom in the 6 directions comprise a degree of freedom of movement in the directions of three rectangular coordinate axes of x, y and z and a degree of freedom of rotation around the three rectangular coordinate axes;
the flight state of the four-rotor aircraft is divided into four independent flight channels: an upper channel, a lower channel, a left channel, a right channel, a front channel, a rear channel and a yaw channel; definition of
U 1 = b ( ω 1 2 + ω 2 2 + ω 3 2 + ω 4 2 ) U 2 = b ( ω 1 2 - ω 3 2 ) U 3 = b ( ω 2 2 - ω 4 2 ) U 4 = d ( ω 1 2 + ω 3 2 - ω 2 2 - ω 4 2 ) - - - ( 2 )
In the formula: b is the lift coefficient of the rotor, d is the drag coefficient of the rotor;
U1、U2、U3、U4for the system control law determined by the angular velocities of the 4 propellers: in particular U1For the control law of the upper and lower channels, U2For control law of front and rear channels and pitch angle, U3Control law for left and right channels and roll angle, U4A yaw angle control law; substituting formula (2) into formula (1) results in a four-rotor aircraft dynamics model that combines four flight paths, as shown in formula (3):
equation (3) is expressed in state space form:
X · = f ( X , U )
wherein,is the state quantity of the system, U ═ U1U2U3U4]For the control law of the system, the f function is a function for solving the system state quantity at the next moment from the current system state quantity, and is specifically represented as:
then, combining equation (3) and equation (4), a final four-rotor aircraft dynamics model can be obtained, as equation (5):
x · 1 = x 2 x · 2 = ( J y - J z ) J x x 4 x 6 + l J x U 2 x · 3 = x 4 x · 4 = ( J z - J x ) J y x 2 x 6 + l J y U 3 x · 5 = x 6 x · 6 = ( J x - J y ) J z x 2 x 4 + 1 J z U 4 x · 7 = x 8 x · 8 = U 1 m ( cos x 1 cos x 3 ) - g x · 9 = x 10 x · 10 = U 1 m ( cos x 1 sin x 3 cos x 5 + sin x 1 sin x 5 ) x · 11 = x 12 x · 12 = U 1 m ( sin x 5 sin x 3 cos x 1 - cos x 5 sin x 1 ) - - - ( 5 )
in the above technical solution, the step S2 of designing a quad-rotor aircraft controller includes the following steps:
step S21: dividing the four-rotor aircraft dynamics model established in the step S1 into a full-drive channel and an under-drive channel, and respectively designing the channels;
firstly, designing a full-drive channel controller: the full driving channel comprises an upper channel, a lower channel and a yaw angleTwo channels, upper and lower channel z and yaw angleThe kinetic equations for the two channels are:
directly using a sliding mode variable structure control method to obtain a control law, firstly calculating the control law of an upper channel z and a lower channel z:
the state variables of the upper and lower channels z are:
x 7 = z x 8 = z · - - - ( 7 )
defining an error variable:
e7=x7-x7d
wherein x is7Is the current height; x is the number of7dIs at a desired height; e.g. of the type7Is the current and desired height difference.
Designing a sliding mode function as follows:
s z = c 7 e 7 + e · 7
wherein, c7Is a system parameter;is the derivative of the height difference; szA sliding mode surface function for the z-axis;
the Lyapunov function defining channel z isThen
s · z = c 7 e · 7 + e ·· 7 = c 7 ( x 8 - x · 7 d ) + ( x ·· 7 - x ·· 7 d )
And is
s z s · z = s z ( c 7 ( x 8 - x · 7 d ) + U 1 m ( cos x 1 cos x 3 ) - g - x ·· 7 d )
To ensureControl law U for designing upper and lower channels z1
U 1 = ( - ϵ sgn ( s z ) - ks z + c 7 ( x · 7 d - x 8 ) + g + x ·· 7 d ) m cos x 1 cos x 3 - - - ( 8 )
Then
s z s · z = - ϵ | s z | - ks z 2 ≤ 0
Thereby to obtain
V · ≤ 0
In the formula, the sum k is a constant of an approach law in sliding mode control; sgn(s)z) Is a slip form surface szThe sign function of (a);
the same method is used to determine the yaw angleControl law U of channels4
Wherein,is a slip form surfaceThe sign function of (a); c. C5Is a system parameter;
step S22: designing an under-actuated channel controller for the dynamic model of the four-rotor aircraft established in the step S1: the underactuated channels comprise an x-gamma channel and a y-theta channel, and the kinetic equation is as follows:
firstly, obtaining attitude information by inversion of position information through an inversion algorithm, and then defining a sliding mode surface of a coupling channel on the basis;
the control law of the x-gamma channel is firstly designed as follows:
when the four-rotor aircraft moves on the x axis, although the pitch angle theta has an influence on the movement on the x axis, the influence can be ignored, and a small angle is assumed for the pitch angle theta, so that the dynamic model of the corresponding x-gamma channel at this time is as follows:
x · 9 = x 10 x 10 = cos x 5 sin x 3 U 1 m x · 3 = x 4 x · 4 = J z - J x J y x 2 x 6 + lU 3 J y - - - ( 12 )
defining an error variable:
e9=x9-x9d(13)
wherein x is9Is the current x position quantity; x is the number of9dIs the desired x position quantity; e.g. of the type9Is the difference between the current and desired x position quantities.
The specific design process is as follows:
(1) the Lyapunov function defining the state variable x is
V 9 = 1 2 e 9 2 - - - ( 14 )
Then
V · 9 = e 9 e · 9 = e 9 ( x 10 - x · 9 d )
GetWherein c is9>0, is a system parameter; e.g. of the type10The error variable, and also the virtual control quantity,
e 10 = x 10 + c 9 e 9 - x · 9 d - - - ( 15 )
then
V · 9 = - c 9 e 9 2 + e 9 e 10 - - - ( 16 )
If e10When the value is equal to 0, thenTherefore, the coupling term must be eliminated, and for this reason, the next design is required;
(2) defining state variablesLyapunov function of
V 10 = V 9 + 1 2 e 10 2 - - - ( 17 )
Then
V · 10 = V · 9 + e 10 e · 10 = - c 9 e 9 2 + e 9 e 10 + e 10 e · 10
GetWherein c is10>0, is a system parameter; e.g. of the type3The error variable, and also the virtual control quantity,
e 3 = e · 10 + c 10 e 10 + e 9 - - - ( 18 )
then
V · 10 = - c 9 e 9 2 + e 9 e 10 + e 10 ( - c 10 e 10 - e 9 + e 3 ) = - c 9 e 9 2 - c 10 e 10 2 + e 10 e 3 - - - ( 19 )
If e3When the value is equal to 0, thenTherefore, the coupling term must be eliminated, and for this reason, the next design is required;
(3) lyapunov function defining a state variable gamma
V 3 = V 10 + 1 2 e 3 2 - - - ( 20 )
Then
V · 3 = V · 1 0 · + e 3 e · 3 = - c 9 e 9 2 - c 10 e 10 2 + e 10 e 3 + e 3 e · 3
GetWherein c is3>0, is a system parameter; e.g. of the type4The error variable, and also the virtual control quantity,
e 4 = c 3 e 3 + e 10 + e · 3 - - - ( 21 )
then
V · 3 = - c 9 e 9 2 + e 10 e 10 2 + e 3 e 10 + e 3 ( - c 3 e 3 - e 10 + e 4 ) = - c 9 e 9 2 - c 10 e 10 2 - c 3 e 3 2 + e 4 e 3 - - - ( 22 )
At this time, the process of the present invention,in which there is a coupling term e4e3If this is eliminated, it can be concluded that the system is stable;
designing the sliding mode surface of the channel;
(4) in the process, the displacement speed difference e of the x-gamma channel is obtained3And angular velocity difference e4The attitude controller is thus designed:
is obtained by the formula (18)
e 3 = ( 1 + c 9 c 10 ) ( x 9 - x 9 d ) + ( c 9 + c 10 ) x 10 - ( c 9 + c 10 ) x · 9 d + x · 10 - x · 9 d - - - ( 23 )
The variable structure of the sliding mode is combined to define the sliding mode surface on the x axis as
sx=e4(24)
(5) Defining state variablesLyapunov function of
V 4 = V 3 + 1 2 s x 2 - - - ( 25 )
Then
V · 4 = - c 9 e 9 2 - c 10 e 10 2 - c 3 e 3 2 + s x e 3 + s x s · x - - - ( 26 )
To make it possible toThe design controller is
U 3 = ( ( - ϵ sgn ( s x ) - ks x - ( c 9 + c 3 + c 9 c 10 c 3 ) ( x · 9 - x · 9 d ) - ( 2 + c 9 c 10 + c 9 c 3 + c 3 c 10 ) cos x 5 sin x 3 U 1 m + ( c 9 + c 10 + c 3 ) x 6 sin x 5 sin x 3 U 1 m - ( c 9 + c 10 + c 3 ) x 4 cos x 5 cos x 3 U 1 m + x 6 2 cos x 5 sin x 3 U 1 m + 2 x 4 x 6 sin x 5 cos x 3 U 1 m + x 4 2 cos x 5 sin x 3 U 1 m - ( c 9 + c 10 ) x · 9 d + ( 1 + c 9 c 10 ) ( x 9 - x 9 d ) + ( c 9 + c 10 ) x 10 + x · 10 - x ·· 9 d + ( 2 + c 9 c 10 + c 9 c 3 + c 3 c 10 ) x ·· 9 d + ( c 3 + c 9 + c 10 ) x ··· 9 d + x ···· 9 d ) / ( cos x 5 cos x 3 U 1 m ) - J z - J x J y x 2 x 6 ) J y l - - - ( 27 )
Wherein,>0,k>0, is a system parameter; sgn(s)x) Is a sliding mode surface function sxThe sign function of (a); then
V · 4 = - c 9 e 9 2 - c 10 e 10 2 - c 3 e 3 2 - ks x 2 - ϵ | s x | ≤ 0 - - - ( 28 )
ByThe system is known to be stable;
the y-theta channel control law is designed the same as the above method,
U 2 = ( - ( c 11 + c 1 + c 11 c 12 c 1 ) ( x · 11 - x · 11 d ) + ( 2 + c 11 c 12 + c 11 c 1 + c 12 c 1 ) cos x 5 sin x 1 U 1 m - ( c 11 + c 12 + c 1 ) x 6 sin x 5 sin x 1 U 1 m - ( - ϵ sgn ( s y ) + ( c 11 + c 12 + c 1 ) x 2 cos x 5 cos x 1 U 1 m - ks y - x 6 2 cos x 5 sin x 1 U 1 m - 2 x 4 x 6 sin x 5 cos x 1 U 1 m - x 2 2 cos x 5 sin x 1 U 1 m - ( c 11 + c 12 ) x · 11 d + ( 1 + c 11 c 12 ) ( x 11 - x 11 d ) + ( c 11 + c 12 ) x 12 + x · 12 - x ·· 11 d + ( 2 + c 11 c 12 + c 11 c 1 + c 12 c 1 ) x ·· 11 d + ( c 1 + c 11 + c 12 ) x ··· 11 d + x ···· 11 d ) / ( cos x 5 cos x 1 U 1 m ) - J y - J z J x x 4 x 6 ) J x l - - - ( 29 )
wherein,>0,k>0, is a system parameter; sgn(s)y) Is a sliding mode surface function syThe sign function of (a);
at this moment, the control laws of the four channels are respectively solved;
the sign function sgn(s) in the control law obtained above is replaced by a saturation function sat(s) to suppress the chattering phenomenon caused by the sign function term,
s a t ( s ) = 1 , s > &Delta; k y , | s | &le; &Delta; - 1 , s < - &Delta; k = 1 &Delta; - - - ( 30 )
in the formula, Δ is referred to as a boundary layer. Switching control is adopted outside the boundary layer, and linear feedback control is adopted in the boundary layer;
in the above technical solution, step S3 specifically includes: after the controller design is finished, the four control laws U obtained in step S2 are set1、U2、U3、U4And (5) substituting the four-rotor aircraft dynamic model formula (5) derived in the step S1, the hovering and track tracking motion of the aircraft can be effectively controlled.
The invention relates to a sliding mode variable structure control method of a four-rotor aircraft based on an inversion method, which is characterized in that a basic idea of an inversion design method is to decompose a complex nonlinear system into subsystems not exceeding the order of the system, then respectively design a Lyapunov function and an intermediate virtual control quantity for each subsystem, and retreat to the whole system until the design of the whole control law is completed. Compared with the prior art, the method has the advantages that:
(1) the system model is divided into a full-drive subsystem and an under-drive subsystem, and the controller design is respectively carried out on the full-drive subsystem and the under-drive subsystem, so that the pertinence is strong;
(2) the method combines an inversion method and a sliding mode variable structure control method, has strong decoupling performance, and improves the dynamic property and the stability of the system;
(3) the controller designed by the invention can improve the performance of the system by adjusting parameters, and can accurately hover and follow a specified track.
Therefore, the sliding mode variable structure control method of the four-rotor aircraft based on the inversion method can be applied to the field of aircraft.
Drawings
FIG. 1 is a block diagram of a control system for a quad-rotor aircraft according to the present invention;
FIG. 2 is a diagram of a structural model of a quad-rotor aircraft of the present invention;
FIG. 3 is a graphical illustration of a four-rotor aircraft position control according to the present invention;
FIG. 4 is a graphical illustration of attitude control for a quad-rotor aircraft in accordance with the present invention;
FIG. 5 is a graph of linear velocity control for a quad-rotor aircraft according to the present invention;
FIG. 6 is a graph of attitude angular velocity control for a quad-rotor aircraft according to the present invention;
FIG. 7 is a graph of the hover control law for a quad-rotor aircraft according to the present invention;
FIG. 8 is a graph of the trajectory tracking of a quad-rotor aircraft of the present invention;
figure 9 is a graph of the trajectory tracking error of a quad-rotor aircraft according to the present invention.
Detailed Description
The invention is further described below with reference to the figures and examples.
A method for controlling a sliding mode variable structure of a four-rotor aircraft based on an inversion method is disclosed, as shown in figure 1, a controller adopts double closed-loop control, namely an inner attitude loop and an outer position loop respectively, and gives an expected track of the four-rotor aircraftThen calculating the roll angle gamma of the required rotation by an inversion control algorithmdAnd a pitch angle thetadAnd combining three attitude angles of the aircraft, obtaining a current control law through a sliding mode control algorithm, sending the current control law into a four-rotor aircraft dynamics model, and feeding the generated state variables back to the position ring and the attitude ring so as to control the four-rotor aircraft to stably fly. Figure 2 is a schematic view of a quad-rotor aircraft.
In the above technical scheme, the method specifically comprises the following steps:
step S1: establishing a four-rotor aircraft dynamics model, determining the relation between the angular speed input and the attitude and the position of four motors of the aircraft, and the relation between the expected track and the attitude angle, as shown in formula (1):
in the formula: parameter Jx=0.05887kg·m2,Jy=0.05887kg·m2,Jz=0.13151kg·m2,l=0.3875m,m=2.467kg,g=9.81m/s2
Formula (1) is the equation after decoupling the degrees of freedom (including the degrees of freedom of movement in the directions of three orthogonal axes x, y, z and the degrees of freedom of rotation around the three axes) of the four-rotor aircraft in 6 directions, and divides the flight state of the four-rotor aircraft into four independent channels: upper and lower channels, left and right channels, front and rear channels, yaw channel, defining
U 1 = b ( &omega; 1 2 + &omega; 2 2 + &omega; 3 2 + &omega; 4 2 ) U 2 = b ( &omega; 1 2 - &omega; 3 2 ) U 3 = b ( &omega; 2 2 - &omega; 4 2 ) U 4 = d ( &omega; 1 2 + &omega; 3 2 - &omega; 2 2 - &omega; 4 2 ) - - - ( 2 )
Wherein, the parameter b is 2.2893 × 10-5N·s2,d=1.1897×10-6N·ms2
U1、U2、U3、U4Is the angular velocity (omega) of 4 propellers1,ω2,ω3,ω4) System control law determined: to express U specifically1For the control law of the upper and lower channels, U2For control law of front and rear channels and pitch angle, U3Control law for left and right channels and roll angle, U4Is a yaw angle control law. Substituting formula (2) into formula (1) results in a four-rotor aircraft dynamics model that combines four flight paths, as shown in formula (3):
expressing the established mathematical model (3) in a state space form:
X &CenterDot; = f ( X , U )
wherein,is the state quantity of the system, U ═ U1U2U3U4]The f function is a function for solving the system state quantity at the next moment from the current system state quantity, and is specifically expressed as
Then, combining equation (3) and equation (4), a final four-rotor aircraft dynamics model can be obtained, as equation (5):
x &CenterDot; 1 = x 2 x &CenterDot; 2 = ( J y - J z ) J x x 4 x 6 + l J x U 2 x &CenterDot; 3 = x 4 x &CenterDot; 4 = ( J z - J x ) J y x 2 x 6 + l J y U 3 x &CenterDot; 5 = x 6 x &CenterDot; 6 = ( J x - J y ) J z x 2 x 4 + 1 J z U 4 x &CenterDot; 7 = x 8 x &CenterDot; 8 = U 1 m ( cos x 1 cos x 3 ) - g x &CenterDot; 9 = x 10 x &CenterDot; 10 = U 1 m ( cos x 1 sin x 3 cos x 5 + sin x 1 sin x 5 ) x &CenterDot; 11 = x 12 x &CenterDot; 12 = U 1 m ( sin x 5 sin x 3 cos x 1 - cos x 5 sin x 1 ) - - - ( 5 )
step S2: four-rotor aircraft controller design. The four-rotor aircraft moves in the front and back direction according to the roll angle in pitching, the two degrees of freedom are coupled channels, the input of a power source generates two degrees of freedom in two directions, the four-rotor aircraft is an under-actuated system, the instability of four axes is realized, and the left channel, the right channel and the roll angle are also coupled channels; the upper and lower channels and the yaw are two completely independent channels, and the channels are not coupled and are a fully-driven subsystem. According to the dynamics characteristics and characteristics of the four-rotor aircraft, the four-rotor aircraft dynamics model (formula 5) established in the step S1 is divided into a full-drive subsystem and an under-drive subsystem, and controller design is respectively carried out on the channels by adopting a sliding mode variable structure control method based on an inversion method.
Step S21: and designing a full-drive channel controller. The full driving channel comprises an upper channel, a lower channel and a yaw angleTwo channels, upper and lower channel z and yaw angleThe kinetic equations for the two channels are:
because coupling does not exist between all driving channels, a sliding mode variable structure control method can be directly used for solving a control law, and the control law of an upper channel z and a lower channel z is firstly calculated.
The state variables for the z-channel are:
x 7 = z x 8 = z &CenterDot; - - - ( 7 )
defining an error variable:
e7=x7-x7d
wherein x is7Is the current height; x is the number of7dIs at a desired height; e.g. of the type7Is the current and desired height difference.
Designing a sliding mode function as follows:
s z = c 7 e 7 + e &CenterDot; 7
wherein, c7Is a system parameter;is the derivative of the height difference; szIs a sliding mode surface function of the z-axis.
The Lyapunov function defining the z-channel isThen
s &CenterDot; z = c 7 e &CenterDot; 7 + e &CenterDot;&CenterDot; 7 = c 7 ( x 8 - x &CenterDot; 7 d ) + ( x &CenterDot;&CenterDot; 7 - x &CenterDot;&CenterDot; 7 d )
And is
s z s &CenterDot; z = s z ( c 7 ( x 8 - x &CenterDot; 7 d ) + U 1 m ( cos x 1 cos x 3 ) - g - x &CenterDot;&CenterDot; 7 d )
To ensureThe sliding mode control law is designed as
U 1 = ( - &epsiv; sgn ( s z ) - ks z + c 7 ( x &CenterDot; 7 d - x 8 ) + g + x &CenterDot;&CenterDot; 7 d ) m cos x 1 cos x 3 - - - ( 8 )
Then
s z s &CenterDot; z = - &epsiv; | s z | - ks z 2 &le; 0
Thereby to obtain
V &CenterDot; &le; 0
In the formula, the sum k is a constant of an approach law in sliding mode control; sgn(s)z) Is a slip form surface szThe sign function of (a);
control law U1Ensure thatThe resulting system is stable.
Thus, a control law U of an upper channel z and a lower channel z is obtained1
But yaw angleControl law U of channels4The following can be obtained by the same method:
wherein,is a slip form surfaceThe sign function of (a); c. C5Is a system parameter.
Step S22: designing an under-actuated channel controller for the dynamic model of the four-rotor aircraft established in the step S1: the underactuated channels comprise an x-gamma channel and a y-theta channel, and the kinetic equation is as follows:
for the design of the under-actuated channel control law, firstly obtaining attitude information by inversion of position information through an inversion algorithm, and then defining a sliding mode surface of a coupling channel on the basis;
the control law of the x-gamma channel is firstly designed as follows:
when the four-rotor aircraft moves on the x axis, although the pitch angle theta has an influence on the movement on the x axis, the influence can be ignored, and a small angle is assumed for the pitch angle theta, so that the dynamic model of the corresponding x-gamma channel at this time is as follows:
x &CenterDot; 9 = x 10 x 10 = cos x 5 sin x 3 U 1 m x &CenterDot; 3 = x 4 x &CenterDot; 4 = J z - J x J y x 2 x 6 + lU 3 J y - - - ( 12 )
defining an error variable:
e9=x9-x9d(13)
wherein x is9Is the current x position quantity; x is the number of9dIs the desired x position quantity; e.g. of the type9Is the difference between the current and desired x position quantities.
The specific design process is as follows:
(6) the Lyapunov function defining the state variable x is
V 9 = 1 2 e 9 2 - - - ( 14 )
Then
V &CenterDot; 9 = e 9 e &CenterDot; 9 = e 9 ( x 10 - x &CenterDot; 9 d )
GetWherein c is9>0, is a system parameter; e.g. of the type10The error variable, and also the virtual control quantity,
e 10 = x 10 + c 9 e 9 - x &CenterDot; 9 d - - - ( 15 )
then
V &CenterDot; 9 = - c 9 e 9 2 + e 9 e 10 - - - ( 16 )
If e10When the value is equal to 0, thenThe coupling term must be eliminated and for this reason, the next design step is required.
(7) Defining state variablesLyapunov function of
V 10 = V 9 + 1 2 e 10 2 - - - ( 17 )
Then
V &CenterDot; 10 = V &CenterDot; 9 + e 10 e &CenterDot; 10 = - c 9 e 9 2 + e 9 e 10 + e 10 e &CenterDot; 10
GetWherein c is10>0, is a system parameter; e.g. of the type3The error variable, and also the virtual control quantity,
e 3 = e &CenterDot; 10 + c 10 e 10 + e 9 - - - ( 18 )
then
V &CenterDot; 10 = - c 9 e 9 2 + e 9 e 10 + e 10 ( - c 10 e 10 - e 9 + e 3 ) = - c 9 e 9 2 - c 10 e 10 2 + e 10 e 3 - - - ( 19 )
If e3When the value is equal to 0, thenThe coupling term must be eliminated and for this reason, the next design step is required.
(8) Defining a Lyapunov function
V 3 = V 10 + 1 2 e 3 2 - - - ( 20 )
Then
V &CenterDot; 3 = V &CenterDot; 1 0 &CenterDot; + e 3 e &CenterDot; 3 = - c 9 e 9 2 - c 10 e 10 2 + e 10 e 3 + e 3 e &CenterDot; 3
GetWherein c is3>0, is a system parameter; e.g. of the type4The error variable, and also the virtual control quantity,
e 4 = c 3 e 3 + e 10 + e &CenterDot; 3 - - - ( 21 )
then
V &CenterDot; 3 = - c 9 e 9 2 - c 10 e 10 2 + e 3 e 10 + e 3 ( - c 3 e 3 - e 10 + e 4 ) = - c 9 e 9 2 - c 10 e 10 2 - e 3 e 3 2 + e 4 e 3 - - - ( 22 )
At this time, the process of the present invention,in which there is a coupling term e4e3If this is eliminated, it is concluded that the system is stable. The next step is to design the slip-form face of the channel.
(9) In the process, the displacement speed difference e of the x-gamma channel is obtained3And angular velocity difference e4Thereby designing the attitude controller.
Is obtained by the formula (18)
e 3 = ( 1 + c 9 c 10 ) ( x 9 - x 9 d ) + ( c 9 + c 10 ) x 10 - ( c 9 + c 10 ) x &CenterDot; 9 d + x &CenterDot; 10 - x &CenterDot; 9 d - - - ( 23 )
The variable structure of the sliding mode is combined to define the sliding mode surface on the x axis as
sx=e4(24)
(10) Defining state variablesLyapunov function of
V 4 = V 3 + 1 2 s x 2 - - - ( 25 )
Then
V &CenterDot; 4 = - c 9 e 9 2 - c 10 e 10 2 - c 3 e 3 2 + s x e 3 + s x s &CenterDot; x - - - ( 26 )
To make it possible toThe design controller is
U 3 = ( ( - &epsiv; sgn ( s x ) - ks x - ( c 9 + c 3 + c 9 c 10 c 3 ) ( x &CenterDot; 9 - x &CenterDot; 9 d ) - ( 2 + c 9 c 10 + c 9 c 3 + c 3 c 10 ) cos x 5 sin x 3 U 1 m + ( c 9 + c 10 + c 3 ) x 6 sin x 5 sin x 3 U 1 m - ( c 9 + c 10 + c 3 ) x 4 cos x 5 cos x 3 U 1 m + x 6 2 cos x 5 sin x 3 U 1 m + 2 x 4 x 6 sin x 5 cos x 3 U 1 m + x 4 2 cos x 5 sin x 3 U 1 m - ( c 9 + c 10 ) x &CenterDot; 9 d + ( 1 + c 9 c 10 ) ( x 9 - x 9 d ) + ( c 9 + c 10 ) x 10 + x &CenterDot; 10 - x &CenterDot;&CenterDot; 9 d + ( 2 + c 9 c 10 + c 9 c 3 + c 3 c 10 ) x &CenterDot;&CenterDot; 9 d + ( c 3 + c 9 + c 10 ) x &CenterDot;&CenterDot;&CenterDot; 9 d + x &CenterDot;&CenterDot;&CenterDot;&CenterDot; 9 d ) / ( cos x 5 cos x 3 U 1 m ) - J z - J x J y x 2 x 6 ) J y l - - - ( 27 )
Wherein,>0,k>0, is a system parameter; sgn(s)x) Is a sliding mode surface function sxThe sign function of (a); then
V &CenterDot; 4 = - c 9 e 9 2 - c 10 e 10 2 - c 3 e 3 2 - ks x 2 - &epsiv; | s x | &le; 0 - - - ( 28 )
ByThe system is known to be stable.
The y-theta channel control law is designed the same as the above method,
U 2 = ( - ( c 11 + c 1 + c 11 c 12 c 1 ) ( x &CenterDot; 11 - x &CenterDot; 11 d ) ) + ( 2 + c 11 c 12 + c 11 c 1 + c 12 c 1 ) cos x 5 sin x 1 U 1 m - ( c 11 + c 12 + c 1 ) x 6 sin x 5 sin x 1 U 1 m - ( - &epsiv; sgn ( s y ) ) + ( c 11 + c 12 + c 1 ) x 2 cos x 5 cos x 1 U 1 m - ks y - x 6 2 cos x 5 sin x 1 U 1 m - 2 x 4 x 6 sin x 5 cos x 1 U 1 m - x 2 2 cos x 5 sin x 1 U 1 m - ( c 11 + c 12 ) x &CenterDot; 11 d + ( 1 + c 11 c 12 ) ( x 11 - x 11 d ) + ( c 11 + c 12 ) x 12 + x &CenterDot; 12 - x &CenterDot;&CenterDot; 11 d + ( 2 + c 11 c 12 + c 11 c 1 + c 12 c 1 ) x &CenterDot;&CenterDot; 11 d + ( c 1 + c 11 + c 12 ) x &CenterDot;&CenterDot;&CenterDot; 11 d + x &CenterDot;&CenterDot;&CenterDot;&CenterDot; 11 d ) / ( cos x 5 cos x 1 U 1 m ) - J y - J z J x x 4 x 6 ) J x l - - - ( 29 )
wherein,>0,k>0, is a system parameter; sgn(s)y) Is a sliding mode surface function syThe sign function of (2).
So far, the control laws of the four channels are respectively obtained.
The sign function sgn(s) in the control law obtained above is replaced by a saturation function sat(s) to suppress the chattering phenomenon caused by the sign function term,
s a t ( s ) = 1 , s > &Delta; k y , | s | &le; &Delta; - 1 , s < - &Delta; k = 1 &Delta; - - - ( 30 )
in the formula, Δ is referred to as a boundary layer. Outside the boundary layer, switching control is adopted, and within the boundary layer, linear feedback control is adopted.
Step S3: after the controller design is finished, the four control laws U obtained in step S2 are set1、U2、U3、U4The four-rotor aircraft dynamics model (formula 5) derived in step S1 is substituted, so that the hovering and track following motions of the aircraft can be effectively controlled
Simulation verification is carried out on a four-rotor aircraft sliding mode variable structure control method based on an inversion method, and an aircraft is firstly arranged to hover at one point, such as:and assume its initial state to be:meanwhile, the related parameters of the sliding mode controller are set as follows: c. C1=c3=c7=c9=c10=c11=c12=1.8,c5=3.2,=1.4,k=6.2。
FIGS. 3-6 are graphs of a position ring and an attitude ring of a quad-rotor aircraft, the curves indicating that the aircraft can reach a target position and maintain a steady state within 4s soon, and FIG. 7 is a graph of a hover control law of the quad-rotor aircraft, the curves indicating that U is in a steady state for fixed-point hover of the aircraft2,U3,U4Control law U of upper and lower channels being 01There is a numerical output that is required to offset the weight of the aircraft itself when it is suspended.
And moreover, the x axis and the y axis of the aircraft are respectively set to track sinusoidal motion, the target height of the z axis is 2m, and the track tracking curve graph and the track tracking error curve graph of the aircraft are respectively shown in the figures 8 and 9, so that the result shows that the expected track motion can be well tracked, the error is small, the maximum error is not more than 5cm, and the control effect is good.
In conclusion, the control method provided by the invention has the advantages that the controller design is respectively carried out on the subsystem, the pertinence is strong, the related parameters of the sliding mode controller are adjusted in real time, the sliding mode controller is accurately controlled in hovering and target track tracking, the dynamic response and the steady-state characteristic are greatly improved, and the engineering practical value is high.
The scope of the present invention is not limited to the preferred embodiments described above, and any modification or modification based on the same principle as the present invention should be included in the scope of the present invention.

Claims (5)

1. A four-rotor aircraft sliding mode variable structure control method based on an inversion method is characterized by comprising the following steps: the expected track of the four-rotor aircraft is given, then the roll angle and the pitch angle which need to rotate are calculated by an inversion control method, the current control law obtained by a sliding mode control method is sent to a four-rotor aircraft dynamics model by combining three attitude angles of the aircraft, and the hovering and track tracking motions of the aircraft are effectively controlled.
2. The inversion-based sliding mode variable structure control method for the quadrotor aircraft according to claim 1, wherein the method comprises the following steps: the method specifically comprises the following steps:
step S1: establishing a four-rotor aircraft dynamic model, and determining the relation between the angular speed input of four motors of the aircraft and the attitude and position, and the relation between the expected track and the attitude angle:
step S2: designing a four-rotor aircraft controller: according to the dynamics characteristics of the four-rotor aircraft, dividing the dynamics model established in the step S1 into a full-drive subsystem and an under-drive subsystem, and designing a sliding mode controller by adopting a sliding mode variable structure control method based on an inversion method;
step S3: and (4) after the design of the controller is finished, obtaining a current control law through a sliding mode control method, sending the current control law into the four-rotor aircraft dynamic model in the step S1, and feeding the generated state variables back to the position ring and the attitude ring so as to control the four-rotor aircraft to stably fly and effectively control the hovering and track tracking motions of the aircraft.
3. The inversion-based sliding mode variable structure control method for the quadrotor aircraft according to claim 2, wherein the method comprises the following steps: step S1 is to establish a four-rotor aircraft dynamics model as shown in equation (1):
in the formula: theta is a pitch angle, gamma is a roll angle,is a yaw angle and is three attitude angles; j. the design is a squarex、Jy、JzRespectively the rotational inertia of the four-rotor aircraft body around three axes of a body coordinate system; l is the distance from the center of a propeller of the four-rotor aircraft to the origin of a coordinate system of the aircraft body; g is the acceleration of gravity; m is the mass of the quad-rotor aircraft; x, y and z are position quantities of the four-rotor aircraft in a navigation coordinate system respectively; omega1,ω2,ω3,ω4Are respectively four rotor wingsInput angular velocities of four motors of the traveling device; the formula (1) is an equation after the freedom degrees in 6 directions are decoupled; the degrees of freedom in the 6 directions comprise a degree of freedom of movement in the directions of three rectangular coordinate axes of x, y and z and a degree of freedom of rotation around the three rectangular coordinate axes;
the flight state of the four-rotor aircraft is divided into four independent flight channels: an upper channel, a lower channel, a left channel, a right channel, a front channel, a rear channel and a yaw channel; definition of
In the formula: b is the lift coefficient of the rotor, d is the drag coefficient of the rotor;
U1、U2、U3、U4for the system control law determined by the angular velocities of the 4 propellers: in particular U1For the control law of the upper and lower channels, U2For control law of front and rear channels and pitch angle, U3Control law for left and right channels and roll angle, U4A yaw angle control law; substituting formula (2) into formula (1) results in a four-rotor aircraft dynamics model that combines four flight paths, as shown in formula (3):
equation (3) is expressed in state space form:
wherein,is the state quantity of the system, U ═ U1U2U3U4]For the control law of the system, the f function is a function for solving the system state quantity at the next moment from the current system state quantity, and is specifically represented as:
then, combining equation (3) and equation (4), a final four-rotor aircraft dynamics model can be obtained, as equation (5):
4. the inversion-based sliding mode variable structure control method for the quadrotor aircraft according to claim 3, wherein the method comprises the following steps: step S2 quad-rotor aircraft controller design includes the steps of:
step S21: dividing the four-rotor aircraft dynamics model established in the step S1 into a full-drive channel and an under-drive channel, and respectively designing the channels;
firstly, designing a full-drive channel controller: the full driving channel comprises an upper channel, a lower channel and a yaw angleTwo channels, upper and lower channel z and yaw angleThe kinetic equations for the two channels are:
directly using a sliding mode variable structure control method to obtain a control law, firstly calculating the control law of an upper channel z and a lower channel z:
the state variables of the upper and lower channels z are:
defining an error variable:
e7=x7-x7d
wherein x is7Is the current height; x is the number of7dIs at a desired height; e.g. of the type7Is the current and desired height difference.
Designing a sliding mode function as follows:
wherein, c7Is a system parameter;is the derivative of the height difference; szA sliding mode surface function for the z-axis;
the Lyapunov function defining channel z isThen
And is
To ensureControl law U for designing upper and lower channels z1
Then
Thereby to obtain
In the formula, the sum k is a constant of an approach law in sliding mode control; sgn(s)z) Is a slip form surface szThe sign function of (a);
the same method is used to determine the yaw angleControl law U of channels4
Wherein,is a slip form surfaceThe sign function of (a); c. C5Is a system parameter;
step S22: designing an under-actuated channel controller for the dynamic model of the four-rotor aircraft established in the step S1: the underactuated channels comprise an x-gamma channel and a y-theta channel, and the kinetic equation is as follows:
firstly, obtaining attitude information by inversion of position information through an inversion algorithm, and then defining a sliding mode surface of a coupling channel on the basis;
the control law of the x-gamma channel is firstly designed as follows:
when the four-rotor aircraft moves on the x axis, although the pitch angle theta has an influence on the movement on the x axis, the influence can be ignored, and a small angle is assumed for the pitch angle theta, so that the dynamic model of the corresponding x-gamma channel at this time is as follows:
defining an error variable:
e9=x9-x9d(13)
wherein x is9Is the current x position quantity; x is the number of9dIs the desired x position quantity; e.g. of the type9Is the difference between the current and desired x position quantities.
The specific design process is as follows:
(1) the Lyapunov function defining the state variable x is
Then
GetWherein c is9>0, is a system parameter; e.g. of the type10The error variable, and also the virtual control quantity,
then
If e10When the value is equal to 0, thenTherefore, the coupling term must be eliminated, and for this reason, the next design is required;
(2) defining state variablesLyapunov function of
Then
GetWherein c is10>0, is a system parameter; e.g. of the type3The error variable, and also the virtual control quantity,
then
If e3When the value is equal to 0, thenTherefore, the coupling term must be eliminated, and for this reason, the next design is required;
(3) lyapunov function defining a state variable gamma
Then
GetWherein c is3>0, is a system parameter; e.g. of the type4The error variable, and also the virtual control quantity,
then
At this time, the process of the present invention,in which there is a coupling term e4e3If this is eliminated, it can be concluded that the system is stable;
designing the sliding mode surface of the channel;
(4) in the process, the displacement speed difference e of the x-gamma channel is obtained3And angular velocity difference e4Thereby designing
An attitude controller:
is obtained by the formula (18)
The variable structure of the sliding mode is combined to define the sliding mode surface on the x axis as
sx=e4(24)
(5) Defining state variablesLyapunov function of
Then
To make it possible toThe design controller is
Wherein,>0,k>0, is a system parameter; sgn(s)x) Is a sliding mode surface function sxThe sign function of (a); then
ByThe system is known to be stable;
the y-theta channel control law is designed the same as the above method,
wherein,>0,k>0, is a system parameter; sgn(s)y) Is a sliding mode surface function syThe sign function of (a);
at this moment, the control laws of the four channels are respectively solved;
the sign function sgn(s) in the control law obtained above is replaced by a saturation function sat(s) to suppress the chattering phenomenon caused by the sign function term,
in the formula, Δ is referred to as a boundary layer. Outside the boundary layer, switching control is adopted, and within the boundary layer, linear feedback control is adopted.
5. The inversion-based sliding mode variable structure control method for the quadrotor aircraft according to claim 4, wherein the method comprises the following steps: step S3 specifically includes: after the controller design is finished, the four control laws U obtained in step S2 are set1、U2、U3、U4And (5) substituting the four-rotor aircraft dynamics model formula (5) in the step S1, the hovering and track tracking motion of the aircraft can be effectively controlled.
CN201610341092.9A 2016-05-20 2016-05-20 Four-rotor aircraft sliding mode variable structure control method based on inversion method Pending CN105759832A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610341092.9A CN105759832A (en) 2016-05-20 2016-05-20 Four-rotor aircraft sliding mode variable structure control method based on inversion method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610341092.9A CN105759832A (en) 2016-05-20 2016-05-20 Four-rotor aircraft sliding mode variable structure control method based on inversion method

Publications (1)

Publication Number Publication Date
CN105759832A true CN105759832A (en) 2016-07-13

Family

ID=56324213

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610341092.9A Pending CN105759832A (en) 2016-05-20 2016-05-20 Four-rotor aircraft sliding mode variable structure control method based on inversion method

Country Status (1)

Country Link
CN (1) CN105759832A (en)

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106094855A (en) * 2016-07-27 2016-11-09 浙江工业大学 Terminal cooperative control method for quad-rotor unmanned aerial vehicle
CN106774385A (en) * 2016-12-05 2017-05-31 烟台南山学院 A kind of dirigible spot hover control method of use adaptive variable structure
CN106970633A (en) * 2017-05-08 2017-07-21 中国工程物理研究院总体工程研究所 Suppress the flight control method of control input saturation
CN107247459A (en) * 2017-07-24 2017-10-13 桂林航天工业学院 Anti-interference flight control method and device
CN107368088A (en) * 2017-07-11 2017-11-21 浙江工业大学 Four-rotor aircraft nonlinear sliding mode pose control method based on error exponential function
CN107368089A (en) * 2017-07-11 2017-11-21 浙江工业大学 Nonlinear sliding mode pose control method of quadrotor aircraft based on double exponential function
CN107561931A (en) * 2017-07-11 2018-01-09 浙江工业大学 Nonlinear sliding mode pose control method of quadrotor aircraft based on single exponential function
CN107844124A (en) * 2017-12-01 2018-03-27 吉林大学 A kind of quadrotor carries the control method of unbalanced load stabilized flight
CN107976902A (en) * 2017-07-03 2018-05-01 浙江工业大学 A kind of enhanced constant speed Reaching Law sliding-mode control of quadrotor UAV system
CN107977011A (en) * 2017-12-26 2018-05-01 电子科技大学 Quadrotor UAV Flight Control method based on Fractional Control Algorithm
CN108549398A (en) * 2018-04-24 2018-09-18 电子科技大学 Quadrotor flight control method based on fractional order saturation function power switching law
CN108549225A (en) * 2018-04-12 2018-09-18 浙江工业大学 Rigid aerospace vehicle finite time self-adaptive fault-tolerant control method based on enhanced power-order approach law and fast terminal sliding mode surface
CN108594837A (en) * 2018-02-12 2018-09-28 山东大学 Model-free quadrotor drone contrail tracker and method based on PD-SMC and RISE
CN108828938A (en) * 2018-05-28 2018-11-16 浙江工业大学 Finite time control method of four-rotor aircraft based on inverse proportion function enhanced index approach law and fast terminal sliding mode surface
CN108845508A (en) * 2018-06-26 2018-11-20 长安大学 A kind of unmanned plane semi-physical simulation control method based on CMAC- synovial membrane overall-in-one control schema
CN109283932A (en) * 2018-09-18 2019-01-29 浙江工业大学 Four-rotor aircraft attitude control method based on integral backstepping sliding mode
CN109656258A (en) * 2019-01-28 2019-04-19 南京航空航天大学 A kind of small drone flying height and flight attitude decouple stabilized control method
CN109901606A (en) * 2019-04-11 2019-06-18 大连海事大学 A kind of mixing finite time control method for quadrotor Exact trajectory tracking
CN110456636A (en) * 2019-07-11 2019-11-15 西北工业大学 Aircraft discrete sliding mode self-adaptation control method based on upper bound estimation
CN112034733A (en) * 2020-08-17 2020-12-04 广东工业大学 City simulation method of quad-rotor unmanned aerial vehicle based on Unity3D
CN113359459A (en) * 2021-06-24 2021-09-07 苏州热工研究院有限公司 Attitude control method for sliding mode variable structure of rotor craft
CN113885552A (en) * 2021-09-01 2022-01-04 中国人民解放军海军工程大学 Preset performance control method and system for hypersonic aircraft
CN116382332A (en) * 2023-03-22 2023-07-04 北京航空航天大学 UDE-based fighter plane large maneuver robust flight control method

Cited By (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106094855A (en) * 2016-07-27 2016-11-09 浙江工业大学 Terminal cooperative control method for quad-rotor unmanned aerial vehicle
CN106094855B (en) * 2016-07-27 2019-03-12 浙江工业大学 Terminal cooperative control method for quad-rotor unmanned aerial vehicle
CN106774385A (en) * 2016-12-05 2017-05-31 烟台南山学院 A kind of dirigible spot hover control method of use adaptive variable structure
CN106774385B (en) * 2016-12-05 2019-08-20 烟台南山学院 A kind of dirigible spot hover control method using adaptive variable structure
CN106970633A (en) * 2017-05-08 2017-07-21 中国工程物理研究院总体工程研究所 Suppress the flight control method of control input saturation
CN107976902B (en) * 2017-07-03 2020-02-21 浙江工业大学 Enhanced constant-speed approach law sliding mode control method of quad-rotor unmanned aerial vehicle system
CN107976902A (en) * 2017-07-03 2018-05-01 浙江工业大学 A kind of enhanced constant speed Reaching Law sliding-mode control of quadrotor UAV system
CN107368089B (en) * 2017-07-11 2019-12-03 浙江工业大学 Nonlinear sliding mode pose control method of quadrotor aircraft based on double exponential function
CN107561931A (en) * 2017-07-11 2018-01-09 浙江工业大学 Nonlinear sliding mode pose control method of quadrotor aircraft based on single exponential function
CN107368089A (en) * 2017-07-11 2017-11-21 浙江工业大学 Nonlinear sliding mode pose control method of quadrotor aircraft based on double exponential function
CN107368088B (en) * 2017-07-11 2019-12-03 浙江工业大学 Four-rotor aircraft nonlinear sliding mode pose control method based on error exponential function
CN107561931B (en) * 2017-07-11 2019-12-03 浙江工业大学 Nonlinear sliding mode pose control method of quadrotor aircraft based on single exponential function
CN107368088A (en) * 2017-07-11 2017-11-21 浙江工业大学 Four-rotor aircraft nonlinear sliding mode pose control method based on error exponential function
CN107247459B (en) * 2017-07-24 2023-06-09 桂林航天工业学院 Anti-interference flight control method and device
CN107247459A (en) * 2017-07-24 2017-10-13 桂林航天工业学院 Anti-interference flight control method and device
CN107844124A (en) * 2017-12-01 2018-03-27 吉林大学 A kind of quadrotor carries the control method of unbalanced load stabilized flight
CN107977011A (en) * 2017-12-26 2018-05-01 电子科技大学 Quadrotor UAV Flight Control method based on Fractional Control Algorithm
CN107977011B (en) * 2017-12-26 2020-03-24 电子科技大学 Four-rotor unmanned aerial vehicle flight control method based on fractional order control algorithm
CN108594837A (en) * 2018-02-12 2018-09-28 山东大学 Model-free quadrotor drone contrail tracker and method based on PD-SMC and RISE
CN108549225A (en) * 2018-04-12 2018-09-18 浙江工业大学 Rigid aerospace vehicle finite time self-adaptive fault-tolerant control method based on enhanced power-order approach law and fast terminal sliding mode surface
CN108549398A (en) * 2018-04-24 2018-09-18 电子科技大学 Quadrotor flight control method based on fractional order saturation function power switching law
CN108549398B (en) * 2018-04-24 2020-05-08 电子科技大学 Four-rotor flight control method based on fractional order saturation function power switching law
CN108828938A (en) * 2018-05-28 2018-11-16 浙江工业大学 Finite time control method of four-rotor aircraft based on inverse proportion function enhanced index approach law and fast terminal sliding mode surface
CN108828938B (en) * 2018-05-28 2021-06-18 浙江工业大学 Finite time control method of four-rotor aircraft based on inverse proportion function enhanced index approach law and fast terminal sliding mode surface
CN108845508A (en) * 2018-06-26 2018-11-20 长安大学 A kind of unmanned plane semi-physical simulation control method based on CMAC- synovial membrane overall-in-one control schema
CN108845508B (en) * 2018-06-26 2021-03-30 长安大学 CMAC-sliding mode integrated control-based semi-physical simulation control method for unmanned aerial vehicle
CN109283932A (en) * 2018-09-18 2019-01-29 浙江工业大学 Four-rotor aircraft attitude control method based on integral backstepping sliding mode
CN109656258A (en) * 2019-01-28 2019-04-19 南京航空航天大学 A kind of small drone flying height and flight attitude decouple stabilized control method
CN109901606A (en) * 2019-04-11 2019-06-18 大连海事大学 A kind of mixing finite time control method for quadrotor Exact trajectory tracking
CN110456636B (en) * 2019-07-11 2022-04-01 西北工业大学 Self-adaptive control method of aircraft discrete sliding mode based on uncertainty upper bound estimation
CN110456636A (en) * 2019-07-11 2019-11-15 西北工业大学 Aircraft discrete sliding mode self-adaptation control method based on upper bound estimation
CN112034733A (en) * 2020-08-17 2020-12-04 广东工业大学 City simulation method of quad-rotor unmanned aerial vehicle based on Unity3D
CN113359459A (en) * 2021-06-24 2021-09-07 苏州热工研究院有限公司 Attitude control method for sliding mode variable structure of rotor craft
CN113885552A (en) * 2021-09-01 2022-01-04 中国人民解放军海军工程大学 Preset performance control method and system for hypersonic aircraft
CN113885552B (en) * 2021-09-01 2023-09-29 中国人民解放军海军工程大学 Preset performance control method and system for hypersonic aircraft
CN116382332A (en) * 2023-03-22 2023-07-04 北京航空航天大学 UDE-based fighter plane large maneuver robust flight control method
CN116382332B (en) * 2023-03-22 2024-06-11 北京航空航天大学 UDE-based fighter plane large maneuver robust flight control method

Similar Documents

Publication Publication Date Title
CN105759832A (en) Four-rotor aircraft sliding mode variable structure control method based on inversion method
CN109324636B (en) Multi-four-rotor master-slave type cooperative formation control method based on second-order consistency and active disturbance rejection
CN102830622B (en) Auto-disturbance-rejection automatic flight control method for four-rotor aircraft
CN105159305B (en) A kind of quadrotor flight control method based on sliding moding structure
Rodic et al. Control of a Quadrotor Flight
Patel et al. Modeling and analysis of quadrotor using sliding mode control
CN109062042B (en) Limited time track tracking control method of rotor craft
Chen et al. Design of Flight Control System for a Novel Tilt‐Rotor UAV
CN106707749B (en) A kind of control method for bionic flapping-wing flying robot
CN106200665A (en) Carry modeling and the self-adaptation control method of the four-axle aircraft of uncertain load
CN103869817A (en) Vertical take-off and landing control method for quad-tilt-rotor unmanned aerial vehicle
CN108121354A (en) Quadrotor unmanned plane tenacious tracking control method based on instruction filtering Backstepping
Yacef et al. Adaptive fuzzy backstepping control for trajectory tracking of unmanned aerial quadrotor
CN105116914A (en) Stratospheric-airship-analytic-model-based prediction path tracking control method
CN109885074A (en) Quadrotor drone finite time convergence control attitude control method
Ghasemi et al. Control of quadrotor using sliding mode disturbance observer and nonlinear H∞
Hegde et al. Transition flight modeling and robust control of a VTOL unmanned quad tilt-rotor aerial vehicle
Nettari et al. Adaptive backstepping integral sliding mode control combined with super-twisting algorithm for nonlinear UAV quadrotor system
Khebbache et al. Robust stabilization of a quadrotor aerial vehicle in presence of actuator faults
Huaman-Loayza Path-following of a quadrotor using fuzzy sliding mode control
Wang et al. Control system design for multi-rotor mav
CN116679548A (en) Three-degree-of-freedom helicopter robust output feedback control method based on time-varying observer
Brandão et al. 3-d path-following with a miniature helicopter using a high-level nonlinear underactuated controller
Min et al. Formation tracking control of multiple quadrotors based on backstepping
Kumar et al. Exponential reaching law based robust trajectory tracking for unmanned aerial vehicles

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20160713