Modified Smith predictor-based robust tracking control design for fractional-order singular semi-Markovian jump systems

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-11-08 DOI:10.1016/j.jfranklin.2024.107382
R. Vanitha , T. Satheesh , S. Mohanapriya , C. Antony Crispin Sweety , R. Sakthivel
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Abstract

This paper focuses on addressing the robust tracking control problem as well as the compensation of delay and external disturbances for fractional-order singular semi-Markovian jump systems. Moreover, a multi-periodic modified repetitive control scheme is developed to guarantee the exact tracking performance of the considered system. Subsequently, by implementing the Majhi-Atherton modified Smith predictor approach, input delays and disturbances occurring in the addressed system are compensated. Precisely, the incorporation of disturbance estimator with the conventional Smith predictor frame can accurately estimate and attenuate the external disturbances. Further, the linear matrix inequality-based conditions for ascertaining the required results are procured with the aid of Lyapunov stability theory. Following this, by solving the acquired criteria, the precise framework of the gain matrices can be reckoned. Finally, the effectiveness and supremacy of the suggested control approach are assessed by using the outcomes of simulations obtained from two numerical examples.
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基于修正史密斯预测器的分数阶奇异半马尔可夫跃迁系统鲁棒跟踪控制设计
本文的重点是解决分数阶奇异半马尔可夫跃迁系统的鲁棒跟踪控制问题以及延迟和外部干扰补偿问题。此外,还开发了一种多周期修正重复控制方案,以保证所考虑系统的精确跟踪性能。随后,通过采用 Majhi-Atherton 改良史密斯预测器方法,对所处理系统中出现的输入延迟和干扰进行了补偿。准确地说,在传统的史密斯预测框架中加入扰动估计器,可以准确地估计和衰减外部扰动。此外,借助 Lyapunov 稳定性理论,还可获得基于线性矩阵不等式的条件,以确定所需的结果。随后,通过求解所获得的条件,可以计算出增益矩阵的精确框架。最后,通过两个数值实例的模拟结果,评估了建议控制方法的有效性和优越性。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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