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Optimal robust model predictive reset control design for performance improvement of uncertain linear system.
ISA Transactions ( IF 7.3 ) Pub Date : 2020-07-25 , DOI: 10.1016/j.isatra.2020.07.026
Sepide Yazdi 1 , Alireza Khayatian 1 , Mohammad Hassan Asemani 1
Affiliation  

This study aims to design a robust reset dynamic output feedback control (DOFC) for a class of uncertain linear systems. This procedure is performed as following. First, the elements of the robust DOFC are designed via the linear matrix inequality (LMI) technique such that closed-loop exponential stability is achieved. Second, reset law which contains value of after reset and a constraint for the reset action is determined. Genetic algorithm (GA) is applied to minimize the proposed objective function to find the reset times by using the specified after reset value for individual reset instances. To do this, a model-predictive-based optimization is adopted by using output information. The proposed robust controller is applied to two uncertain systems; distillation column, and B747-100/200 aircraft model. The merits of the proposed robust reset controller in improving transient performance are demonstrated by comparing its results with state-of-the-art methods.



中文翻译:

用于不确定线性系统性能改进的最优鲁棒模型预测性重置控制设计。

本研究旨在为一类不确定的线性系统设计鲁棒的复位动态输出反馈控制(DOFC)。该步骤如下进行。首先,通过线性矩阵不等式(LMI)技术设计鲁棒DOFC的元素,从而实现闭环指数稳定性。第二,确定包含复位后的值和复位动作的约束的复位定律。遗传算法(GA)用于通过为各个重置实例使用指定的重置后值来最小化建议的目标函数以找到重置时间。为此,通过使用输出信息来采用基于模型预测的优化。所提出的鲁棒控制器被应用于两个不确定系统。蒸馏塔和B747-100 / 200飞机模型。

更新日期:2020-07-25
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