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Data-Driven Output-Feedback Fault-Tolerant Compensation Control for Digital PID Control Systems With Unknown Dynamics

机译:动力学未知的数字PID控制系统的数据驱动输出反馈容错补偿控制

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摘要

For digital proportional-integral-derivative control systems with unknown dynamics, the data-driven output-feedback fault-tolerant control (FTC) problem is studied in this paper. In a framework of active FTC, the issue of online recursive identification of the residual generator, the state observer, and the observability canonical form of the plant under consideration is addressed; the problem of reconfiguration of the data-driven fault-tolerant compensation controller with L2-gain properties is also dealt with by means of the above-obtained results, the prefilter and the Riccati equation related to H∞ control so as to accommodate faults and ensure tracking performance. The resulting fault-tolerant compensation control scheme is designed based on the closed-loop systems, and therefore has more practical significance than the existing FTC methodologies developed in terms of the open-loop systems. Finally, the effectiveness of the proposed FTC approach is validated by the speed control experiment on a dc motor.
机译:针对动力学未知的数字比例-积分-微分控制系统,研究了数据驱动的输出反馈容错控制(FTC)问题。在有效的FTC框架中,解决了剩余生成器,状态观察器以及所考虑工厂的可观察性规范形式的在线递归识别问题;通过以上获得的结果,与H∞控制有关的预滤波器和Riccati方程,还可以解决具有L2增益特性的数据驱动型容错补偿控制器的重新配置问题,以适应故障并确保跟踪效果。最终的容错补偿控制方案是基于闭环系统设计的,因此比在开环系统方面开发的现有FTC方法具有更实际的意义。最后,通过直流电动机的速度控制实验验证了提出的FTC方法的有效性。

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