Optimization of a Robust Modified Smith Predictor Control Strategy for Integrating Processes with Dead Time

Q3 Engineering
A. Laware, V. S. Bandal, D. Talange
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引用次数: 0

Abstract

The presence of an integrator and dead time in physical processes reduces stability and robustness. It limits the response time of a system. Integrating plus dead time (IPDT) processes provide oscillatory and slow response if the parameters of a system are not tuned properly despite dead time compensators (DTCs) being used. To overcome these shortcomings, the Smith predictor based sliding-mode control (SP-SMC) strategy using the Jaya optimization technique for IPDT processes is proposed in this study. For the selected populations, the cost function and best controller parameters are evaluated. The proposed strategy is compared with the typical Smith predictor-based proportional, integral and derivative (SP-PID), and conventional SP-SMC design methods. To evaluate the performance, integrating first-order with dead time (IFODT) process models with different controllability relationships (CR) is considered. Robustness analysis of the controller is carried out in this study for 30% parametric uncertainties and bounded disturbances. The simulation tests on a laboratory process (level) control system reveal the supremacy of the Jaya optimization algorithm over prevalent control strategies. Compared to SP-PID and SP-SMC, the proposed design method shows an improvement of 33.07% and 12.58% in settling time and an improvement of 19.73% and 22.93% in rise time with 0% overshoot, respectively. The applied setup elicits better multi-level set point tracking and disturbance rejection capabilities with the step input. Besides, the proposed algorithm shows better closed-loop performance for numerical simulations of Models 1 and 2.
含死时间集成过程鲁棒修正Smith预测器控制策略的优化
物理过程中积分器和死时间的存在降低了稳定性和鲁棒性。它限制了系统的响应时间。尽管使用了死区补偿器(dtc),但如果系统参数没有得到适当的调整,则积分加死区时间(IPDT)过程会产生振荡和缓慢的响应。为了克服这些缺点,本文提出了基于Smith预测器的滑模控制(SP-SMC)策略,该策略使用Jaya优化技术用于IPDT过程。对于选定的总体,评估了成本函数和最佳控制器参数。将该策略与典型的基于Smith预测器的比例、积分和导数(SP-PID)设计方法和传统的SP-SMC设计方法进行了比较。为了评估性能,考虑了具有不同可控性关系(CR)的一阶含死时间过程模型的积分。本研究针对30%的参数不确定性和有界干扰进行了控制器的鲁棒性分析。在实验室过程(液位)控制系统上的仿真试验表明,Jaya优化算法优于常用的控制策略。与SP-PID和SP-SMC相比,该设计方法的稳定时间分别提高了33.07%和12.58%,上升时间分别提高了19.73%和22.93%,且超调量为0%。采用阶跃输入的设置可以获得更好的多级设定点跟踪和抗干扰能力。此外,该算法在模型1和模型2的数值模拟中表现出较好的闭环性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transactions on Electrical Engineering, Electronics, and Communications
Transactions on Electrical Engineering, Electronics, and Communications Engineering-Electrical and Electronic Engineering
CiteScore
1.60
自引率
0.00%
发文量
45
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