Adaptive fuzzy fault-tolerant control method for nonlinear system

Abstract

The invention discloses an adaptive fuzzy fault-tolerant control method for a nonlinear system. According to the method, a nonlinear system state space model with an executor fault and external interference is established; a comprehensive fuzzy observer comprises a fuzzy state observer, a fault failure factor observer and a disturbance observer; and an adaptive sliding mode controller uses observation information to compensate influences of fault and interference on the system. In addition, a double-channel event triggering mechanism comprises an event triggering condition from a sensor to thecontroller and an event triggering condition from the controller to an executor. The event triggering based fault tolerant controller combines a triggering mechanism from the controller to the executor, and output is acted on the nonlinear system. Thus, effective fault tolerance control and trajectory tracking control can be realized for such type of nonlinear system under the condition with an executor fault and outside disturbance.

Description

technical field [0001] The invention belongs to the field of fault-tolerant control of a class of nonlinear systems with actuator faults and external disturbances, more specifically, relates to a class of nonlinear systems subject to actuator faults and external disturbances, a fuzzy comprehensive observer, and an adaptive sliding mode The controller, dual-channel event-triggered mechanism, and event-triggered-based controller are collectively referred to as a class of adaptive fuzzy fault-tolerant control methods for nonlinear systems. Background technique [0002] With the rapid development of industry, modern industrial systems contain more and more nonlinear units to achieve richer system performance. Therefore, maintaining system reliability is very important for nonlinear systems to complete predetermined tasks. However, due to the continuous increase of system components, the nonlinear unknowns of the system and the dynamics of unknown coupling factors appearing in sy...

AI Technical Summary

Problems solved by technology

However, on the one hand, when designing controllers, existing literature assumes that the state of the system is measurable and assumes that the upper bound of the disturbance is known; on the other hand, when designing controllers, relatively few literatures consider Event triggers to reduce system transfer load

It is still a challenge to design a reliable fault-tolerant control method for nonlinear systems while maintaining stability control while reducing the amount of system information transmission.

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