CN109514558A - Flexible mechanical arm time-scale separation robust control method based on singular perturbation - Google Patents

Flexible mechanical arm time-scale separation robust control method based on singular perturbation Download PDF

Info

Publication number
CN109514558A
CN109514558A CN201811581068.8A CN201811581068A CN109514558A CN 109514558 A CN109514558 A CN 109514558A CN 201811581068 A CN201811581068 A CN 201811581068A CN 109514558 A CN109514558 A CN 109514558A
Authority
CN
China
Prior art keywords
expression formula
mechanical arm
flexible mechanical
subsystem
matrix
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811581068.8A
Other languages
Chinese (zh)
Other versions
CN109514558B (en
Inventor
张琪
王堆
王延延
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.)
Xian Aircraft Design and Research Institute of AVIC
Original Assignee
Xian Aircraft Design and Research Institute of AVIC
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 Xian Aircraft Design and Research Institute of AVIC filed Critical Xian Aircraft Design and Research Institute of AVIC
Priority to CN201811581068.8A priority Critical patent/CN109514558B/en
Publication of CN109514558A publication Critical patent/CN109514558A/en
Application granted granted Critical
Publication of CN109514558B publication Critical patent/CN109514558B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1602Programme controls characterised by the control system, structure, architecture
    • B25J9/1605Simulation of manipulator lay-out, design, modelling of manipulator

Landscapes

  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention proposes a kind of flexible mechanical arm time-scale separation robust control method based on singular perturbation.This method comprises: building flexible mechanical arm kinetic model;Hard and soft modal separation processing is carried out to flexible mechanical arm kinetic model;For the slow subsystem of characterization system rigidity mode, robust control method is designed;For the fast subsystem of characterization system resilience mode, design point feedback;Obtain the first control input;Obtain the second control input;First control input and the second control input are combined, combined data is obtained;Combined data is input to flexible mechanical arm kinetic model, obtains output data;Output data is obtained comparing difference compared with the expected data of the joint angle of flexible mechanical arm and elastic vibration data respectively;When comparing difference in relatively threshold range, output is for indicating the effective mark of control.Joint of mechanical arm angle may be implemented to the tracking of expectation instruction and the inhibition of Elastic mode in inventive embodiments, reduces vibration.

Description

Flexible mechanical arm time-scale separation robust control method based on singular perturbation
Technical field
The present invention relates to the technical fields of aviation robot control, more particularly, to a kind of flexible machine based on singular perturbation Tool arm time-scale separation robust control method.
Background technique
Flexible mechanical arm kinetic model characterizes the characteristics of hard and soft modal coupling, and there are stronger not true for model parameter It is qualitative, it is unfavorable for control algorithm design.For model elastic part, have scholar by its at model parameter indeterminate lump Reason realizes compensation control by the way of disturbance-observer, however this roadmap lacks the in-depth analysis to elastic part;Needle To parameter uncertainty, ART network algorithm can realize approximation timates by on-line study, however preferable Approximation effect More online updating parameters are needed, so that algorithm computing speed is partially slow, conventional proportional differential control method is simple, however externally The resistivity of boundary's interference is poor.
《Composite Learning Control of Flexible-Link Manipulator Using NN and DOB " (BIN XU, " IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2017, DOI:10.1109/TSMC.2017.2700433 ") literary grace carries out flexible mechanical arm kinetic model with singular perturbation theory Time-scale separation processing, makes model dynamics be divided into rigid element and elastic part, for rigid element, using neural network The method combined with disturbance observation handles indeterminate, and it is preferable that learning information improves control effect, however due to Algorithm is complicated, and Neural Network Online learning parameter causes computing speed partially slow more, is unfavorable for engineer application.
Summary of the invention
To solve deficiency of the existing control method in flexible mechanical arm control process, the invention proposes one kind based on surprise The flexible mechanical arm time-scale separation robust control method of different perturbation.
(a) consider n freedom degree flexible mechanical arm kinetic model:
Wherein M is the symmetrical inertial matrix of positive definite,It is related with coriolis force and centripetal force , D1、D2For damping matrix, K2For stiffness matrix, u is joint input torque;It is by joint of mechanical arm angle and flexibility The generalized vector of mode composition, wherein θiFor i-th of joint angle variable, δi,jIt is j-th of mode variable of i-th of connecting rod;
(b) it definesModel (1) is further written as:
If k is K2Least member in matrix defines h=1/k, introduces new variables h ε=δ, N=hK2, formula (2) further writes At following form:
Definition control input:
U=us+uf (5)
Wherein, usIt controls and inputs for slow subsystem;ufIt controls and inputs for fast subsystem;Enable h=0, formula (3), (4) into One step is written as formula (6), (7)
Wherein, footmark " s " indicates slow component;Convolution (6) formula (7) can obtain slow subsystem such as (8) formula:
Further slow subsystem can be written as follow equivalent form
Wherein, μ1s,It is logical Model parameter nominal information is crossed, the nominal information A of A, B are further calculated0、B0, i.e. A=A0+ Δ A, B=B0+ΔB;
Slow subsystem (9) may further be write:
Enable D=Δ A+ Δ Bus, then formula (10) is further write
Define new state variable: ζ1=ε-εs,Formula (4) becomes:
In conjunction with formula (7), (12), fast subsystem model is obtained:
That is:
Wherein,
(c) error signal e is defined11-yr, wherein yrFor desired joint angles, error dynamics equation isDesign virtual controlling amount
Wherein, k1∈Rn*nFor the symmetrical nonsingular matrix of positive definite;
Define error signal e22-u2d, then e2Error dynamics equation are as follows:
Design controller
Wherein, k2∈Rn*nFor the symmetrical nonsingular matrix of positive definite;ω0Artificially to design normal number, e2=[e21,e22,…e2n]T, For the estimated value and satisfaction of D maximum value
It is provided by formula (17)
Wherein, ρ ∈ Rn*n, γ ∈ Rn*nFor the symmetrical nonsingular matrix of positive definite;
(d) dynamic subsystem adoption status feedback controller in:Control gain kδWithFor using pole The R that point configuration obtainsn*mnRank matrix, controller always input:
U=us+uf (18)
(e) u is inputted according to obtained control, returned in flexible mechanical arm model (1), carrying out control to joint angle makes it Expectation instruction in tracking, while realizing that mechanical arm Elastic mode inhibits, reduce vibration.
The beneficial effect of foregoing invention embodiment can be with are as follows:
By introducing singular perturbation theory to flexible mechanical arm kinetic model, model is made to be divided into characterization system rigidity mode Slow subsystem and characterize system resilience mode fast subsystem, asked for the parameter uncertainty in slow subsystem Topic, is handled by way of estimating its upper bound, and Estimation of Upper-Bound value is introduced controller and realizes compensation control, algorithm letter Single, pace of learning is fast, is conducive to Project Realization.
Detailed description of the invention
In order to illustrate more clearly of the technical solution implemented of the present invention, below by it is of the invention be said in need using Attached drawing make simple resolve.It is clear that drawings described below is only some embodiments of the present invention, for ability For the technical staff in domain, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the stream of the flexible mechanical arm time-scale separation robust control method based on singular perturbation of one embodiment of the invention Journey schematic diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described.Obviously, described embodiment is A part of the embodiments of the present invention, rather than whole embodiments.Based on the embodiments of the present invention, the ordinary skill people of this field Without making creative work, every other embodiment obtained shall fall within the protection scope of the present invention member.
The feature of the various aspects of the embodiment of the present invention is described more fully below.In the following detailed description, it proposes Many concrete details, so as to complete understanding of the present invention.But for those of ordinary skill in the art, very bright Aobvious, the present invention can also be implemented in the case where not needing these details.Below to the description of embodiment Just for the sake of being better understood by showing example of the invention to the present invention.The present invention is not limited to presented below any Specific setting and method, but cover all product structures covered without departing from the spirit of the invention, method Any improvement, replacement etc..In each attached drawing and following description, well known structure and technology is not shown, to avoid right The present invention causes unnecessary fuzzy.
It should be noted that in the absence of conflict, the feature in the embodiment of the present invention and embodiment can be tied mutually It closes, each embodiment mutually can be referred to and be quoted.The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
Fig. 1 is the stream of the flexible mechanical arm time-scale separation robust control method based on singular perturbation of one embodiment of the invention Journey schematic diagram.
As shown in Figure 1, method includes the following steps: S110, builds flexible mechanical arm kinetic model;S120 is used Singular perturbation theory carries out hard and soft modal separation processing to model;S130, for the fast subsystem of characterization system resilience mode Design point feedback control algorithm;S140 is calculated for the fast subsystem design point feedback control of characterization system resilience mode Method;S150, two kinds of control inputs pass to kinetic model after combining, realize joint angle tracking expectation instruction target and elasticity Vibration suppression target.
The embodiment of the present invention can solve the problem of hard and soft modal coupling kinetic model modal separation control.Firstly, this Inventive embodiments can introduce the time-scale separation that singular perturbation theory realizes controlled device, be divided into Rigid-flexible Coupling Dynamics model Rigid expression formula and elastic expression formula;Secondly, designing robust control side for the slow subsystem of characterization system rigidity mode Method, the Estimation of Upper-Bound of implementation model indeterminate, and complete compensation control;For the fast subsystem of characterization system resilience mode Design point feedback;Most latter two control method is combined into one collective effect in flexible mechanical arm kinetic model. Invention aims at tracking of the joint of mechanical arm angle to expectation instruction, while realizing the inhibition of Elastic mode, reduces vibration.
In some embodiments, the flexible mechanical arm time-scale separation robust control method based on singular perturbation may include:
Based on Lagrange's equation, flexible mechanical arm kinetic model is built;
According to singular perturbation method, hard and soft modal separation processing is carried out to flexible mechanical arm kinetic model;
For the slow subsystem of characterization system rigidity mode, robust control method is designed;
For the fast subsystem of characterization system resilience mode, design point feedback;
According to robust control method, the first control input is obtained;
According to state feedback control method, the second control input is obtained;
First control input and the second control input are combined, combined data is obtained;
Combined data is input to flexible mechanical arm kinetic model, obtains output data;
Output data is compared compared with the expected data of the joint angle of flexible mechanical arm and elastic vibration data respectively Compared with difference;
When comparing difference in relatively threshold range, output is for indicating the effective mark of control.
In some embodiments, the implementation of the flexible mechanical arm time-scale separation robust control method based on singular perturbation May include:
(a) consider 2DOF flexible mechanical arm kinetic model:
Wherein M is the symmetrical inertial matrix of positive definite,It is related with coriolis force and centripetal force , D1、D2For damping matrix, K2For stiffness matrix, u is joint input torque.The broad sense arrow being made of joint of mechanical arm angle and flexible mode It measures, wherein θiFor i-th of joint angle variable, δi,jIt is j-th of mode variable of i-th of connecting rod.
Length of connecting rod l1=l2=0.5m, connecting rod quality m1=m2=0.1kg, connecting rod bending stiffness EI1=EI2=10N m2, end equivalent mass mp=0.1kg.It is derived with this
I takes 1,2, rank number of mode m=2.
(b) it definesModel (1) is further written as:
If k is K2Least member in matrix defines h=1k, introduces new variables h ε=δ, N=hK2, formula (2) is into one
Step is written as follow form:
Definition control input:
U=us+uf (5)
Wherein, usIt controls and inputs for slow subsystem;ufIt controls and inputs for fast subsystem;Enable h=0, formula (3), (4) into One step is written as formula (6), (7)
Wherein, footmark " s " indicates slow component;Convolution (6) formula (7) can obtain slow subsystem such as (8) formula:
Further slow subsystem can be written as follow equivalent form:
Wherein, μ1s,It is logical Model parameter nominal information is crossed, the nominal information of A, B are further calculated
Slow subsystem (9) may further be write:
Enable D=Δ A+ Δ Bus, then formula (10) is further write
Define new state variable: ζ1=ε-εs,Formula (4) becomes:
In conjunction with formula (7), (12), fast subsystem model is obtained:
That is:
Wherein,
(c) error signal e is defined11-yr, wherein yrFor desired joint angles, error dynamics equation isDesign virtual controlling amount:
Wherein, k1∈R2*2For the symmetrical nonsingular matrix of positive definite, when Manipulator Dynamic inputs u in controlexUnder effect It is expected that final k can be obtained when joint angles in tracking1Matrix.
Define error signal e22-u2d, then e2Error dynamics equation are as follows:
Design controller:
Wherein, k2∈R2*2For the symmetrical nonsingular matrix of positive definite, with k1Matrix value mode is consistent, e2=[e21,e22]T, ω0 For normal number, value and k1Matrix value mode is consistent,
For the estimated value and satisfaction of D maximum valueBy formula (17) it provides:
Wherein, ρ ∈ R2*2, γ ∈ R2*2For the symmetrical nonsingular matrix of positive definite, with k1Matrix value mode is consistent.
(d) fast subsystem adoption status feedback controller:
Master control input:
U is inputted according to obtained control, returns in flexible mechanical arm model (1), pass is controlled such that joint angle Expectation instruction in angle tracking is saved, while realizing that Elastic mode inhibits, reduces elastic vibration.
It should be noted that above-mentioned flow operations can carry out different degrees of combined application, for simplicity, repeating no more Various combined implementations.Those skilled in the art can by actual conditions by above-mentioned method the step of sequence (or The position of the component of person's product) it is adjusted flexibly, or the operation such as combination.
It should be noted that the implementation of functional unit shown in above-described embodiment can for hardware, software or Combination.When realizing in hardware, electronic circuit, specific integrated circuit (ASIC), plug-in unit, function card can be made Deng.When realizing with software mode, the program or code segment of required task can be used to carry out with thing.Program or code Section can go out be stored in machine perhaps in readable medium or it can be situated between by data-signal entrained in carrier wave in transmission Matter or communication links are sent.
Finally it should be noted that: the above embodiments are merely illustrative of the technical solutions of the present invention, but protection of the invention Range is not limited thereto, and anyone skilled in the art in the technical scope disclosed by the present invention, can be thought easily It is modified or replaceed to various equivalent, these, which are modified or replaceed, should all be included within the scope of the present invention.

Claims (6)

1. a kind of flexible mechanical arm time-scale separation robust control method based on singular perturbation characterized by comprising
Based on Lagrange's equation, flexible mechanical arm kinetic model is built;
According to singular perturbation method, hard and soft modal separation processing is carried out to flexible mechanical arm kinetic model;
For the slow subsystem of characterization system rigidity mode, robust control method is designed;
For the fast subsystem of characterization system resilience mode, design point feedback;
According to robust control method, the first control input is obtained;
According to state feedback control method, the second control input is obtained;
First control input and the second control input are combined, combined data is obtained;
Combined data is input to flexible mechanical arm kinetic model, obtains output data;
Output data is obtained poor compared with the expected data of the joint angle of flexible mechanical arm and elastic vibration data respectively Value;
When comparing difference in relatively threshold range, output is for indicating the effective mark of control.
2. the method according to claim 1, wherein flexible mechanical arm kinetic model is expression formula (1):
Wherein, M is the symmetrical inertial matrix of positive definite,It is item related with coriolis force and centripetal force, D1、D2For damping matrix, K2For stiffness matrix, u is joint input torque;It is by joint of mechanical arm angle and flexible die The generalized vector of state composition, θiFor i-th of joint angle variable, δi,jIt is j-th of mode variable of i-th of connecting rod.
3. the method according to claim 1, wherein using singular perturbation theory, to flexible mechanical arm dynamics Model carries out hard and soft modal separation processing, comprising:
DefinitionAnd expression formula (2) are converted by expression formula (1):
If k is K2Least member in matrix defines h=1/k, introduces new variables h ε=δ, N=hK2, convert expression formula (2) to Expression formula (3) and expression formula (4):
Definition control input:
U=us+uf (5)
Wherein, usIt controls and inputs for slow subsystem;ufIt controls and inputs for fast subsystem;H=0 is enabled, expression formula (3), (4) turn Turn to expression formula (6) and expression formula (7):
Wherein, footmark " s " indicates slow component;Slow subsystem such as expression formula (8) can be obtained in conjunction with expression formula (6) expression formula (7):
Slow subsystem is converted into following expression
Wherein, μ1s,Pass through mould Shape parameter nominal information calculates the nominal information A of A, B0、B0, i.e. A=A0+ Δ A, B=B0+ΔB;
Slow subsystem expression formula (9) is converted into expression formula (10):
Enable D=Δ A+ Δ Bus, then expression formula (10) is converted into expression formula (11):
Definition status variable: ζ1=ε-εs,H=1/k, t are the time, and expression formula (4) is converted into expression Formula (12):
In conjunction with expression formula (7), (12), fast subsystem model is obtained:
Expression formula (13) are converted are as follows:
Wherein,
4. according to the method described in claim 3, it is characterized in that, design robust control method, comprising:
Define error signal e11-yr, wherein yrFor desired joint angles, error dynamics equation isDesign virtual controlling amount
Wherein, k1∈Rn*nFor the symmetrical nonsingular matrix of positive definite;
Define error signal e22-u2d, then e2Error dynamics equation are as follows:
Design controller
Wherein, k2∈Rn*nFor the symmetrical nonsingular matrix of positive definite;ω0Artificially to design normal number,
For the estimated value and satisfaction of D maximum valueIt is obtained by expression formula (17):
Wherein, ρ ∈ Rn*n, γ ∈ Rn*nFor the symmetrical nonsingular matrix of positive definite.
5. the method according to claim 1, wherein design point feedback, comprising:
Fast subsystem adoption status feedback controller:Control gain kδWithTo be obtained using POLE PLACEMENT USING Rn*mnRank matrix,
Wherein, ufIt controls and inputs for fast subsystem.
6. the method according to claim 1, wherein obtaining output data, comprising:
Controller always inputs:
U=us+uf (18)
usIt controls and inputs for slow subsystem;ufIt controls and inputs for fast subsystem.
CN201811581068.8A 2018-12-24 2018-12-24 Flexible mechanical arm time scale separation robust control method based on singular perturbation Active CN109514558B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811581068.8A CN109514558B (en) 2018-12-24 2018-12-24 Flexible mechanical arm time scale separation robust control method based on singular perturbation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811581068.8A CN109514558B (en) 2018-12-24 2018-12-24 Flexible mechanical arm time scale separation robust control method based on singular perturbation

Publications (2)

Publication Number Publication Date
CN109514558A true CN109514558A (en) 2019-03-26
CN109514558B CN109514558B (en) 2022-03-15

Family

ID=65795694

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811581068.8A Active CN109514558B (en) 2018-12-24 2018-12-24 Flexible mechanical arm time scale separation robust control method based on singular perturbation

Country Status (1)

Country Link
CN (1) CN109514558B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110850715A (en) * 2019-11-12 2020-02-28 北京航空航天大学 Anti-interference control method of singular perturbation system
CN111203885A (en) * 2020-01-21 2020-05-29 珠海格力智能装备有限公司 Method and device for determining joint torque of robot and electronic equipment
CN112091976A (en) * 2020-09-17 2020-12-18 哈尔滨工程大学 Task space control method for underwater mechanical arm
CN112506057A (en) * 2020-12-02 2021-03-16 郑州轻工业大学 Online multi-time-scale quick self-adaptive control method for uncertain singular perturbation system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07121239A (en) * 1993-10-27 1995-05-12 Hitachi Zosen Corp Control method for robot device
CN103592850A (en) * 2013-11-21 2014-02-19 冶金自动化研究设计院 Nonlinear multi-time-scale delay system modeling and control method
CN106493735A (en) * 2016-12-09 2017-03-15 西北工业大学 There is the flexible mechanical arm disturbance observation control method of external disturbance
CN107479383A (en) * 2017-09-05 2017-12-15 西北工业大学 Hypersonic aircraft neutral net Hybrid Learning control method based on robust designs
CN108388114A (en) * 2018-02-07 2018-08-10 中国航空工业集团公司西安飞机设计研究所 A kind of flexible mechanical arm composite control method based on Output Redefinition

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07121239A (en) * 1993-10-27 1995-05-12 Hitachi Zosen Corp Control method for robot device
CN103592850A (en) * 2013-11-21 2014-02-19 冶金自动化研究设计院 Nonlinear multi-time-scale delay system modeling and control method
CN106493735A (en) * 2016-12-09 2017-03-15 西北工业大学 There is the flexible mechanical arm disturbance observation control method of external disturbance
CN107479383A (en) * 2017-09-05 2017-12-15 西北工业大学 Hypersonic aircraft neutral net Hybrid Learning control method based on robust designs
CN108388114A (en) * 2018-02-07 2018-08-10 中国航空工业集团公司西安飞机设计研究所 A kind of flexible mechanical arm composite control method based on Output Redefinition

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
BIN XU 等: "Two Performance Enhanced Control of Flexible-Link Manipulator with System Uncertainty And Disturbances", 《SCIENCE CHINA INFORMATION SCIENCE》 *
BIN XU: "Composite Learning Control of Flexible-Link Manipulator Using NN and DOB", 《IEEE TRANSACTIONS ON SYSTEMS,MAN,AND CYBERNETICS: SYSTEMS》 *
黄季妮: "机器人遥操作系统神经网络控制", 《中国优秀博士学位论文全文数据库(硕士) 信息科技辑》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110850715A (en) * 2019-11-12 2020-02-28 北京航空航天大学 Anti-interference control method of singular perturbation system
CN110850715B (en) * 2019-11-12 2021-01-01 北京航空航天大学 Anti-interference control method of singular perturbation system
CN111203885A (en) * 2020-01-21 2020-05-29 珠海格力智能装备有限公司 Method and device for determining joint torque of robot and electronic equipment
CN111203885B (en) * 2020-01-21 2021-08-17 珠海格力智能装备有限公司 Method and device for determining joint torque of robot and electronic equipment
CN112091976A (en) * 2020-09-17 2020-12-18 哈尔滨工程大学 Task space control method for underwater mechanical arm
CN112091976B (en) * 2020-09-17 2022-03-18 哈尔滨工程大学 Task space control method for underwater mechanical arm
CN112506057A (en) * 2020-12-02 2021-03-16 郑州轻工业大学 Online multi-time-scale quick self-adaptive control method for uncertain singular perturbation system
CN112506057B (en) * 2020-12-02 2021-09-17 郑州轻工业大学 Online multi-time-scale quick self-adaptive control method for uncertain singular perturbation system

Also Published As

Publication number Publication date
CN109514558B (en) 2022-03-15

Similar Documents

Publication Publication Date Title
CN109514558A (en) Flexible mechanical arm time-scale separation robust control method based on singular perturbation
CN109358506B (en) Self-adaptive fuzzy teleoperation control method based on disturbance observer
Li et al. Observer-based adaptive fuzzy tracking control of MIMO stochastic nonlinear systems with unknown control directions and unknown dead zones
Chen et al. Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer
Yang et al. A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems
CN107703952B (en) Nonsingular fixed time self-adaptive attitude control method for rigid aircraft
CN106325291B (en) Sliding mode control law and ESO (electronic stability program) based four-rotor aircraft attitude control method and system
CN110018687A (en) Unmanned water surface ship optimal track following control method based on intensified learning method
Sun et al. Trajectory tracking of constrained robotic systems via a hybrid control strategy
Farrell et al. On-line approximation based control of uncertain nonlinear systems with magnitude, rate and bandwidth constraints on the states and actuators
CN110877333A (en) Flexible joint mechanical arm control method
Ouyang et al. Neural network based tracking control for an elastic joint robot with input constraint via actor-critic design
CN103336435A (en) Angular velocity estimation based self-adaptive fuzzy sliding mode control method for micro gyroscope
CN109062240B (en) Rigid aircraft fixed time self-adaptive attitude tracking control method based on neural network estimation
CN111965976B (en) Robot joint sliding mode control method and system based on neural network observer
Xu et al. Finite-time robust intelligent control of strict-feedback nonlinear systems with flight dynamics application
Kokunko et al. Synthesis of a tracking system with restrictions on UAV state variables
CN109514559A (en) Flexible mechanical arm time-scale separation robust control method based on Output Redefinition
Vo et al. An output feedback tracking control based on neural sliding mode and high order sliding mode observer
Xu et al. USDE-based continuous sliding mode control for quadrotor attitude regulation: Method and application
CN117452975A (en) Security performance cooperative formation control design method for four-rotor unmanned aerial vehicle cluster
Li et al. Nonlinear robust flight mode transition control for tail-sitter aircraft
Schatz et al. Application of a novel scalability notion in adaptive control to various adaptive control frameworks
CN108170028B (en) Robot chaotic inverse control method based on partial neural network
Ahmadian et al. A novel L1 adaptive-hybrid control with guaranteed stability for a class of uncertain nonlinear systems: A case study on SA330 Puma

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant