Zhu Chenglong, Li Chenxi, Chen Xinyi, Zhang Kanjian, Xin Xin, Wei Haikun
Key Laboratory of Measurement and Control of CSE Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China.
Faculty of Computer Science and Systems Engineering, Okayama Prefectural University, 111 Kuboki, Soja, Okayama 719-1197, Japan.
Entropy (Basel). 2020 May 27;22(6):598. doi: 10.3390/e22060598.
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.
本文研究了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的漂移故障和失效故障。基于事件触发理论、自适应反步技术和李雅普诺夫理论，提出了一种新颖的容错控制策略。结果表明，该策略在控制性能和传感器数据实时传输消耗之间取得了适当的平衡，解决了具有不确定和未知控制方向的严格反馈非线性系统的容错跟踪控制问题。引入自适应反步方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。整体控制策略保证输出信号跟踪参考信号，且闭环系统的所有信号均收敛。最后，构建了风扇速度控制系统以验证所提策略的有效性以及该通用系统的应用。
