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Fuzzy Adaptive Output Feedback Fault-Tolerant Tracking Control of a Class of Uncertain Nonlinear Systems With Nonaffine Nonlinear Faults

机译:一类具有非仿射非线性故障的非线性系统的模糊自适应输出反馈容错跟踪控制

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摘要

This paper studies the fuzzy adaptive output feedback fault-tolerant control (FTC) problem for a class of single-input and single-output uncertain nonlinear systems with time-varying nonaffine nonlinear faults in strict-feedback form. In the design procedure, filtered signals are adopted to circumvent algebraic loop problems on implementing the usual controllers. By using fuzzy logic systems to approximate the unknown nonlinearity effects and changes in model dynamics due to faults, a fuzzy state observer is first presented to estimate the unmeasured states. Based on the online estimating information from the adaptive mechanism, an observer-based dynamic output feedback fault-tolerant controller is designed via the backstepping technique. It is shown that the stability and tracking performances of the closed-loop system can be achieved even in the presence of unknown nonlinear faults. In comparison with the existing approaches, the FTC scheme can handle the nonaffine nonlinear faults effectively. Finally, a simulation example is included to validate the advantages of the proposed approaches.
机译:针对一类具有严格反馈形式的时变非仿射非线性故障的单输入单输出不确定非线性系统,研究了模糊自适应输出反馈容错控制(FTC)问题。在设计过程中,采用滤波后的信号来解决代数回路问题,以实现常用的控制器。通过使用模糊逻辑系统来近似未知的非线性效应和由于故障引起的模型动力学变化,首先提出了一个模糊状态观测器来估计未测状态。基于自适应机制的在线估计信息,通过后推技术设计了基于观测器的动态输出反馈容错控制器。结果表明,即使存在未知的非线性故障,也可以实现闭环系统的稳定性和跟踪性能。与现有方法相比,FTC方案可以有效地处理非仿射非线性故障。最后,包括一个仿真示例,以验证所提出方法的优势。

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