Research On Fault Tolerance Technology Of Nonlinear Interconnected Systems Based On Decentralized Control

As people have more and more demands on various systems,the scale of the system is increasing.Therefore,the research on interconnected systems has attracted widespread attention.At the same time,because interconnected systems are composed of multiple subsystems,the failure of a certain subsystem may affect the entire interconnected system.Therefore,it is necessary to study the fault-tolerant control of interconnected systems.This paper uses control methods such as backstepping control and adaptive neural network technology to study the decentralized fault-tolerant control of a class of nonlinear interconnected systems.The main content of this article is as follows:This article first introduces the research background and research significance of the topic of decentralized fault-tolerant control of interconnected systems,and explains related concepts and knowledge of interconnected systems,fault-tolerant control and decentralized control.Then,in Chapter 3,aiming at the fault-tolerant tracking control problem of pure feedback nonlinear interconnected systems with actuator faults,this chapter designs a decentralized fault-tolerant control strategy based on the backstepping method and event trigger technology.In the design process,adaptive neural technology is used to solve the unknown nonlinear function and unknown interconnection function in the interconnected system.For the problem of unknown parameters of the pure feedback system,the Nussbaum function is used to deal with it.Finally,the control strategy designed in this chapter makes all closed-loop signals uniformly bounded.In Chapter 4,for the fault-tolerant problem of interconnected systems with unknown nonlinear terms,unknown interconnected terms,unknown actuators fault and full state constraints,this chapter designs a decentralized finite time based on the obstacle Lyapunov function and backstepping method.Fault-tolerant controller.In addition,limited time control technology is used to improve the robustness of the control system.The designed fault-tolerant control strategy can effectively track the reference signal set in advance,and ensure that all signals of the closed-loop system converge to the neighborhood near the equilibrium point in a finite time.Chapter 5,for the tracking control problem of strict feedback nonlinear interconnected systems with mismatched external interference,unknown control direction and actuator failure,this chapter designs a new control based on error transformation technology and adaptive RBF neural network technology Strategy.This strategy combines unknown control direction,actuator efficiency loss failure and unknown input quantization into unknown control parameters,and then uses Nussbaum gain technology to deal with this problem.Finally,the control strategy designed in this chapter ensures that all closed-loop signals are bounded.And the tracking error signal meets the preset requirements.