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Event-Triggered Adaptive Fault Tolerant Control for a Class of Uncertain Nonlinear Systems
Entropy ( IF 2.1 ) Pub Date : 2020-05-27 , DOI: 10.3390/e22060598
Chenglong Zhu 1 , Chenxi Li 1 , Xinyi Chen 1 , Kanjian Zhang 1 , Xin Xin 1, 2 , Haikun Wei 1
Affiliation  

This paper considers an adaptive fault-tolerant control problem for a class of uncertain strict feedback nonlinear systems, in which the actuator has an unknown drift fault and the loss of effectiveness fault. Based on the event-triggered theory, the adaptive backstepping technique, and Lyapunov theory, a novel fault-tolerant control strategy is presented. It is shown that an appropriate comprise between the control performance and the sensor data real-time transmission consumption is made, and the fault-tolerant tracking control problem of the strict feedback nonlinear system with uncertain and unknown control direction is solved. The adaptive backstepping method is introduced to compensate the actuator faults. Moreover, a new adjustable event-triggered rule is designed to determine the sampling state instants. The overall control strategy guarantees that the output signal tracks the reference signal, and all the signals of the closed-loop systems are convergent. Finally, the fan speed control system is constructed to demonstrate the validity of the proposed strategy and the application of the general systems.

中文翻译:


一类不确定非线性系统的事件触发自适应容错控制



本文考虑一类不确定严格反馈非线性系统的自适应容错控制问题,其中执行器存在未知漂移故障和失效故障。基于事件触发理论、自适应反步技术和Lyapunov理论,提出了一种新型容错控制策略。结果表明,在控制性能和传感器数据实时传输消耗之间进行了适当的权衡,解决了控制方向不确定和未知的严格反馈非线性系统的容错跟踪控制问题。引入自适应反步法来补偿执行器故障。此外,设计了一种新的可调节事件触发规则来确定采样状态时刻。总体控制策略保证输出信号跟踪参考信号,并且闭环系统的所有信号都收敛。最后,构建了风扇速度控制系统,验证了所提策略的有效性和通用系统的应用。
更新日期:2020-05-27
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