Indirect IMC-PID Controller Design With Zero Relative Order–IMC Filter

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Bipin Singh, Bharat Verma, Prabin Kumar Padhy
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引用次数: 0

Abstract

In this manuscript, a new indirect internal model control (IMC)-based proportional-integral-derivative (PID) controller is designed for stable, integral, and unstable processes with time delay. A zero relative order (ZRO)–IMC filter is introduced, which acts as a lead compensator, enhancing the controller's performance. The proposed method ensures a higher phase margin and improves transient performance. The tuning method allows flexibility in changing system robustness by adjusting the value of the proposed tuning variable p $$ \left(\boldsymbol{p}\right) $$ , resulting in good set-point tracking and disturbance rejection. This tuning parameter has a monotonous relationship with system robustness within the specified range. The efficacy of the proposed tuning method is validated through simulation studies and an experimental case study on a DC motor for speed control, and the results are compared with existing IMC-PID controllers.

零相对阶imc滤波器间接IMC-PID控制器设计
在本文中,设计了一种新的基于间接内模控制(IMC)的比例-积分-导数(PID)控制器,用于具有时滞的稳定,积分和不稳定过程。引入零相对阶(ZRO) -IMC滤波器作为前置补偿器,提高了控制器的性能。该方法保证了较高的相位裕度,改善了暂态性能。该调谐方法允许通过调整所提出的调谐变量p $$ \left(\boldsymbol{p}\right) $$的值来灵活地改变系统的鲁棒性,从而获得良好的设定点跟踪和抗干扰性。该调优参数在指定范围内与系统鲁棒性呈单调关系。通过仿真研究和直流电机调速实验验证了所提整定方法的有效性,并将结果与现有的IMC-PID控制器进行了比较。
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
CiteScore
4.60
自引率
6.20%
发文量
101
审稿时长
>12 weeks
期刊介绍: Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.
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