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首页> 外文期刊>Mathematical Problems in Engineering >Output Information Based Fault-Tolerant Iterative Learning Control for Dual-Rate Sampling Process with Disturbances and Output Delay
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Output Information Based Fault-Tolerant Iterative Learning Control for Dual-Rate Sampling Process with Disturbances and Output Delay

机译：基于输出信息的具有干扰和输出延迟的双速率采样过程的容错迭代学习控制

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摘要

For a class of single-input single-output (SISO) dual-rate sampling processes with disturbances and output delay, this paper presents a robust fault-tolerant iterative learning control algorithm based on output information. Firstly, the dual-rate sampling process with output delay is transformed into discrete system in state-space model form with slow sampling rate without time delay by using lifting technology; then output information based fault-tolerant iterative learning control scheme is designed and the control process is turned into an equivalent two-dimensional (2D) repetitive process. Moreover, based on the repetitive process stability theory, the sufficient conditions for the stability of system and the design method of robust controller are given in terms of linear matrix inequalities (LMIs) technique. Finally, the flow control simulations of two flow tanks in series demonstrate the feasibility and effectiveness of the proposed method.
机译：针对一类具有扰动和输出延迟的单输入单输出（SISO）双速率采样过程，提出了一种基于输出信息的鲁棒容错迭代学习控制算法。首先，采用提升技术，将具有输出延迟的双速率采样过程转化为状态空间模型形式的离散系统，具有低采样率且无时间延迟。然后设计了基于输出信息的容错迭代学习控制方案，并将控制过程转变为等效的二维（2D）重复过程。此外，基于重复过程稳定性理论，根据线性矩阵不等式（LMIs）技术给出了系统稳定性的充分条件和鲁棒控制器的设计方法。最后，通过对两个流量罐的流量控制仿真，证明了该方法的可行性和有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|7072032.1-7072032.15|共15页
  • 作者

    Tao Hongfeng; Liu Yan; Yang Huizhong;

  • 作者单位

    Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China;

    Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China;

    Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China;

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