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一种用于线性参数变化(LPV)系统的可重构比例积分微分(PID)容错跟踪控制器设计

A reconfigurable PID fault tolerant tracking controller design for LPV systems.

作者信息

Rabaoui B, Hamdi H, Braiek N BenHadj, Rodrigues M

机构信息

Advanced Systems Laboratory, Tunisian Polytechnic School, La Marsa 2078, Tunisia.

Automation and Process Engineering Laboratory, University of Lyon, Villeurbanne, F-69622, France.

出版信息

ISA Trans. 2020 Mar;98:173-185. doi: 10.1016/j.isatra.2019.08.049. Epub 2019 Sep 2.

Abstract

This paper considers the design of a reconfigurable PID Fault Tolerant Tracking Controller (PID-FTTC) for Linear Parameter Varying (LPV) systems affected by actuator faults with the presence of disturbance. The LPV systems are represented through a polytopic LPV description with measurable gain scheduling functions. A new PID-FTTC scheme with a model reference, an adaptive PID controller and an Adaptive Polytopic Observer (APO), is developed. The main idea is to improve and to compare performances with this developed PID-FTTC versus previous similar FTC techniques especially about the settling time, the overshoot and integral error indices. By the way, this paper can reduce the conservatism of previous methods with more parameters design so as to avoid their disadvantages and to give better control loop performances especially in terms of accuracy and speed of trajectory tracking even when a fault occurs. So, in order to establish the stability of the reconfigured PID-FTTC, a new theoretical study is developed through the use of Linear Matrix Inequality (LMI). This new method is illustrated through a two-tank process where the results compared to previous ones, underline the improvements.

摘要

本文考虑了一种用于线性参数变化(LPV)系统的可重构PID容错跟踪控制器(PID-FTTC)的设计,该系统受到执行器故障影响且存在干扰。LPV系统通过具有可测量增益调度函数的多面体LPV描述来表示。提出了一种具有模型参考、自适应PID控制器和自适应多面体观测器(APO)的新型PID-FTTC方案。主要思想是改进并比较这种开发的PID-FTTC与以前类似的容错控制(FTC)技术的性能,特别是在调节时间、超调量和积分误差指标方面。顺便说一下,本文通过更多参数设计减少了以前方法的保守性,从而避免其缺点,并给出更好的控制回路性能,特别是在轨迹跟踪的精度和速度方面,即使发生故障时也是如此。因此,为了建立可重构PID-FTTC的稳定性,通过使用线性矩阵不等式(LMI)开展了一项新的理论研究。通过一个双容过程对这种新方法进行了说明,与以前的结果相比,突出了改进之处。

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