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Hybrid Optimization Based PID Controller Design for Unstable System

Saranya Rajeshwaran1,*, C. Agees Kumar2, Kanthaswamy Ganapathy3

1 Technical Expert, Geometric Limited, Chennai, 600096, Tamilnadu, India
2 Arunachala College of Engineering for Women, Vellichanthai, 629203, Tamilnadu, India
3 Trimble Information Technologies India Pvt. Ltd., Chennai, 600113, Tamilnadu, India

* Corresponding Author: Saranya Rajeshwaran. Email: email

Intelligent Automation & Soft Computing 2023, 35(2), 1611-1625. https://doi.org/10.32604/iasc.2023.029299

Abstract

PID controllers play an important function in determining tuning parameters in any process sector to deliver optimal and resilient performance for nonlinear, stable and unstable processes. The effectiveness of the presented hybrid metaheuristic algorithms for a class of time-delayed unstable systems is described in this study when applicable to the problems of PID controller and Smith PID controller. The Direct Multi Search (DMS) algorithm is utilised in this research to combine the local search ability of global heuristic algorithms to tune a PID controller for a time-delayed unstable process model. A Metaheuristics Algorithm such as, SA (Simulated Annealing), MBBO (Modified Biogeography Based Optimization), BBO (Biogeography Based Optimization), PBIL (Population Based Incremental Learning), ES (Evolution Strategy), StudGA (Stud Genetic Algorithms), PSO (Particle Swarm Optimization), StudGA (Stud Genetic Algorithms), ES (Evolution Strategy), PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) are used to tune the PID controller and Smith predictor design. The effectiveness of the suggested algorithms DMS-SA, DMS-BBO, DMS-MBBO, DMS-PBIL, DMS-StudGA, DMS-ES, DMS-ACO, and DMS-PSO for a class of dead-time structures employing PID controller and Smith predictor design controllers is illustrated using unit step set point response. When compared to other optimizations, the suggested hybrid metaheuristics approach improves the time response analysis when extended to the problem of smith predictor and PID controller designed tuning.

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Cite This Article

APA Style
Rajeshwaran, S., Kumar, C.A., Ganapathy, K. (2023). Hybrid optimization based PID controller design for unstable system. Intelligent Automation & Soft Computing, 35(2), 1611-1625. https://doi.org/10.32604/iasc.2023.029299
Vancouver Style
Rajeshwaran S, Kumar CA, Ganapathy K. Hybrid optimization based PID controller design for unstable system. Intell Automat Soft Comput . 2023;35(2):1611-1625 https://doi.org/10.32604/iasc.2023.029299
IEEE Style
S. Rajeshwaran, C.A. Kumar, and K. Ganapathy "Hybrid Optimization Based PID Controller Design for Unstable System," Intell. Automat. Soft Comput. , vol. 35, no. 2, pp. 1611-1625. 2023. https://doi.org/10.32604/iasc.2023.029299



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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