Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Satellite fault diagnosis and fault-tolerant control method based on T-S fuzzy model and learning observer

A technology of fuzzy model and fault-tolerant control, which is applied in the direction of attitude control, adaptive control, general control system, etc. It can solve the problem that the fault diagnosis method cannot effectively deal with the space interference torque fault-tolerant control method has poor fault tolerance performance, and achieves good anti-interference ability , improve robustness and precision, and ensure reliability and safety

Active Publication Date: 2014-01-01
HARBIN INST OF TECH
View PDF6 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problem that the existing fault diagnosis method cannot effectively deal with the influence of spatial disturbance torque, ensure the robustness of the fault diagnosis method and the fault tolerance performance of the existing fault-tolerant control method, and proposes a method based on T-S fuzzy model and learning observer Fault Diagnosis and Fault Tolerant Control Method of Satellite Attitude Control System

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Satellite fault diagnosis and fault-tolerant control method based on T-S fuzzy model and learning observer
  • Satellite fault diagnosis and fault-tolerant control method based on T-S fuzzy model and learning observer
  • Satellite fault diagnosis and fault-tolerant control method based on T-S fuzzy model and learning observer

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0016] The specific embodiment one, the fault diagnosis and the fault-tolerant control method of the satellite attitude control system based on the T-S fuzzy model and the learning observer described in the present embodiment are carried out in the following steps:

[0017] Step 1, according to the satellite attitude dynamic equation and the gyroscope measurement equation, establish the mathematical model of the nonlinear satellite attitude control system;

[0018] Step 2. Put the nonlinear satellite attitude control system model obtained in step 1 at r working points ω 1 ,ω 2 ,…,ω r Perform fuzzy linearization, design r if-then fuzzy rules, and establish satellite attitude control T-S fuzzy system;

[0019] Step 3. For the T-S fuzzy model of the satellite attitude control system obtained in step 2, design a T-S fuzzy learning observer to realize satellite attitude angular velocity estimation and robust fault detection, isolation and fault reconstruction of the actuator;

...

specific Embodiment approach 2

[0021] Specific embodiment two, present embodiment is to the fault diagnosis of the satellite attitude control system based on T-S fuzzy model and learning observer described in specific embodiment one and the specific content of step one of the fault-tolerant control method is: consider that satellite appears executive mechanism Fault and space disturbance moment, according to the dynamic equation of satellite attitude and gyroscope measurement equation, the mathematical model of nonlinear satellite attitude control system is established as follows:

[0022] ω . ( t ) = f ( ω ( t ) ) + Bu ( t ) + Ed ( t ) + Ff ...

specific Embodiment approach 3

[0025] Specific embodiment three, present embodiment is to the fault diagnosis of the satellite attitude control system based on T-S fuzzy model and learning observer described in specific embodiment one and the specific content of the step two of the fault-tolerant control method is: set up step one The mathematical model of the nonlinear satellite attitude control system is fuzzy linearized, and r operating points are selected, ω 1 ,ω 2 ,…,ω r , establish r if-then fuzzy rules, and the specific fuzzy rules are established as follows:

[0026] if ω x is M i1 , ω y is M i2 ,ω z is M i3 ,but

[0027] ω . ( t ) = A i ω ( t ) + B i u ( t ) + E i ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a satellite fault diagnosis and fault-tolerant control method based on a T-S fuzzy model and a learning observer. The satellite fault diagnosis and fault-tolerant control method based on the T-S fuzzy model and the learning observer is used for solving the problems that a conventional fault diagnosis method cannot be used for effectively treating the influence caused by space disturbance torque and ensuring the robustness of a fault diagnosis method, and a conventional fault-tolerant control method has a poor fault-tolerant property. The satellite fault diagnosis and fault-tolerant control method based on the T-S fuzzy model and the learning observer comprises the following steps: step 1. establishing a mathematical model of a non-linear satellite attitude control system; step 2. establishing the T-S fuzzy model of the satellite attitude control system by using results obtained in the step 1; step 3. designing a T-S fuzzy learning observer by using the results obtained in the step 2 so as to realize the robust fault detection, isolation and fault reconstruction of a satellite attitude angular velocity estimation and executing mechanism; 4. designing a state feedback fault-tolerant controller by using the results obtained in the step 3 so as to ensure that a closed loop of a satellite attitude control T-S fuzzy system is stable. The satellite fault diagnosis and fault-tolerant control method based on the T-S fuzzy model and learning observer can be applied to an aerospace field.

Description

technical field [0001] The invention belongs to the field of satellite fault diagnosis and fault-tolerant control, in particular to a method for fault diagnosis and fault-tolerant control of a satellite attitude control system based on a T-S fuzzy model and an observer. Background technique [0002] The satellite attitude control system is an important part of ensuring the normal operation of the satellite. The satellite attitude control system is not only required to be able to effectively control the attitude, but also must have high reliability and safety. However, when the satellite is in orbit, it is subjected to various perturbations of the space environment and various environmental factors such as high temperature, low temperature, electromagnetic interference, and space particle radiation, which reduce the reliability of the spacecraft's subsystems and components, and are prone to accidents. Fault. The failure of the satellite attitude control system is often fatal...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04G05D1/08
Inventor 贾庆贤张迎春耿云海李诚良胡芳芳管宇李化义陈雪芹
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products