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Discrete-time command filtered adaptive fuzzy fault-tolerant control for induction motors with unknown load disturbances
Journal of the Franklin Institute ( IF 3.7 ) Pub Date : 2021-02-04 , DOI: 10.1016/j.jfranklin.2021.01.036
Qixin Lei , Jinpeng Yu , Qing-guo Wang

In this paper, a command filtered fault-tolerant control (CFFTC) approach is investigated for induction motors (IMs) discrete-time system in the presence of actuator faults and unknown load disturbances. Firstly, the IMs system discrete-time model is obtained by Euler method. Then, the fuzzy logic systems (FLSs) is utilized to compensate for unknown actuator faults. Besides, introducing the error compensation mechanism into discrete-time systems via command filters, “complexity of computation” and noncausal problem can be conquered, and the filtering error is avoided concurrently. Finally, simulation results demonstrate the validity of the presented fault-tolerant method for IMs system.



中文翻译:

未知负载扰动的离散时间指令滤波自适应模糊容错控制

在本文中,针对存在执行器故障和未知负载扰动的感应电动机(IM)离散时间系统,研究了一种命令滤波的容错控制(CFFTC)方法。首先,通过欧拉方法获得了即时通讯系统的离散时间模型。然后,利用模糊逻辑系统(FLS)补偿未知的执行器故障。此外,通过命令滤波器将误差补偿机制引入离散时间系统中,可以克服“计算复杂度”和无因果问题,同时避免了滤波误差。最后,仿真结果证明了所提出的IM系统容错方法的有效性。

更新日期:2021-03-03
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