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Robust fault tolerant control based on sliding mode method for uncertain linear systems with quantization

机译:不确定线性系统基于滑模方法的鲁棒容错控制

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摘要

This paper is concerned with the problem of robust fault-tolerant compensation control problem for uncertain linear systems subject to both state and input signal quantization. By incorporating novel matrix full-rank factorization technique with sliding surface design successfully, the total failure of certain actuators can be coped with, under a special actuator redundancy assumption. In order to compensate for quantization errors, an adjustment range of quantization sensitivity for a dynamic uniform quantizer is given through the flexible choices of design parameters. Comparing with the existing results, the derived inequality condition leads to the fault tolerance ability stronger and much wider scope of applicability. With a static adjustment policy of quantization sensitivity, an adaptive sliding mode controller is then designed to maintain the sliding mode, where the gain of the nonlinear unit vector term is updated automatically to compensate for the effects of actuator faults, quantization errors, exogenous disturbances and parameter uncertainties without the need for a fault detection and isolation (FDI) mechanism. Finally, the effectiveness of the proposed design method is illustrated via a model of a rocket fairing structural-acoustic.
机译:本文涉及状态和输入信号都经过量化的不确定线性系统的鲁棒容错补偿控制问题。通过成功地将新颖的矩阵满秩分解技术与滑动表面设计相结合,可以在特殊的执行器冗余假设下解决某些执行器的全部故障。为了补偿量化误差,通过灵活选择设计参数,给出了动态均匀量化器的量化灵敏度调整范围。与现有结果相比,推导的不等式条件使得容错能力更强,适用范围更广。利用量化灵敏度的静态调整策略,然后设计自适应滑模控制器以保持滑模,其中非线性单位矢量项的增益会自动更新,以补偿执行器故障,量化误差,外源性干扰和参数不确定性,而无需故障检测和隔离(FDI)机制。最后,通过火箭整流罩结构声学模型,说明了所提出设计方法的有效性。

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