Design of Robust Stabilizing PI/PID Controller for time delay Interval Process Plants Using Particle Swarm Optimization

Siva Kumar Mangipudi, D. S. Rao, M. Raju
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Abstract

Since most of the control systems operate under a large uncertainty, the study of robustness in stability has become vital in the presence of uncertainty. The largest uncertainty present in the control system causes degradation of system performance and destabilization. With a view to conquering the uncertainty, a novel approach for the design of robust PI/PID controller for the interval process plant is proposed in this paper. The proposed approach develops a robust PI/PID controller for the interval process plant with and without time delay based on necessary and sufficient conditions for stability of interval polynomial. Consequently, these conditions are used to derive a set of inequalities from the closed loop characteristic polynomial of an interval system in terms of controller parameters. Finally, these inequalities are solved to obtain controller parameters with the help of Particle Swarm Optimization (PSO). The proposed method has the advantage of having less computational complexity and easy to implement on a digital computer. The viability of the proposed methodology is illustrated through numerical examples of its successful implementation. The efficacy of the proposed methodology is also evaluated against the available approaches presented by Patre and Deore (2003), (2011) and the results were successfully implemented.
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基于粒子群算法的时滞区间过程鲁棒稳定PI/PID控制器设计
由于大多数控制系统都是在很大的不确定性下运行的,因此在存在不确定性的情况下,稳定性鲁棒性的研究变得至关重要。控制系统中存在的最大不确定性导致系统性能退化和不稳定。针对区间过程控制系统的不确定性,提出了一种鲁棒PI/PID控制器的设计方法。该方法基于区间多项式稳定性的充分必要条件,开发了具有和不具有时滞的区间过程对象的鲁棒PI/PID控制器。因此,利用这些条件,可以从区间系统的闭环特征多项式中导出控制器参数的不等式集。最后,利用粒子群算法求解这些不等式,得到控制器参数。该方法具有计算复杂度低、易于在数字计算机上实现的优点。通过成功实施的数值实例说明了所提出方法的可行性。所提出的方法的有效性也与Patre和Deore(2003)、(2011)提出的可用方法进行了评估,结果得到了成功实施。
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
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0.00%
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0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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