학술논문

Fault Diagnosis and Reliable Configuration of Uncertain Strip Area Based on MPSO-SVM
Document Type
Conference
Source
2021 40th Chinese Control Conference (CCC) Chinese Control Conference (CCC), 2021 40th. :4636-4639 Jul, 2021
Subject
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Support vector machines
Strips
Actuators
Simulation
Reliability theory
Observers
Reliability engineering
reliable control
support vector machine
pole observer
particle swarm optimization algorithm
grid search method
genetic algorithm
Language
ISSN
1934-1768
Abstract
For a class of linear uncertain flight control systems, in terms of the strip region, the problem of actuator continuous gain fault and reliable control is studied. At the same time, in order to solve the difficulty of selecting parameters of support vector machine, a parameter optimization algorithm based on improved Particle Swarm Optimization (MPSO) is proposed. Compared with grid search method, particle swarm optimization and genetic algorithm, this method has the advantages of fast convergence, short time consuming and high accuracy. For the problem that the pole information is difficult to obtain, the algorithm theory of pole observer is given to realize the real-time observation of unknown system. Finally, the effectiveness of reliable controller design is further proved by numerical simulation.