Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation

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Authors

In this paper a control of a magnet levitation system using a PID controller will be presented. In particular, the article provides a PSO optimization method to optimize a cost function consisting of an ITAE (integral of the time weighted absolute error) with a weighted ITAI (integral of the time weighted absolute input) for tuning the parameters of a PID controller and an Input-Sigmoid anti-windup control function to minimize the effect of the limitation of the voltage input in a Maglev system. The proposed technique takes the system in a saturation for a suitable time to obtain the optimization of the defined cost function. The proposed rebounded PSO is inspired by the idea that the integral part of the controller should not exceed the saturation limit. To realise a rebounded PSO, the idea is to randomize the reference best particles (gbestjk) inside their boundary when they are on the lower or upper bound. Once a large enough search region is defined, the idea is to obtain a suboptimum inside the boundary. A PSO is developed and is devoted to optimize five parameters: PID parameters, a parameter which characterizes the input-sigmoid function and a parameter to realize an optimal derivative action in the presence of noise. Simulation results show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationSoft Computing and Its Engineering Applications - 6th International Conference, icSoftComp 2024, Revised Selected Papers
EditorsKanubhai K. Patel, KC Santosh, Gabriel Gomes de Oliveira, Atul Patel, Ashish Ghosh
Number of pages15
PublisherSpringer Science and Business Media Deutschland
Publication date2025
Pages230-244
ISBN (print)9783031880414
DOIs
Publication statusPublished - 2025
Event6th International Conference on Soft Computing and its Engineering Applications, -icSoftComp 2024 - Bangkok, Thailand
Duration: 10.12.202412.12.2024
Conference number: 6

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

    Research areas

  • Anti-saturation, Anti-windup, Maglev system, PID, PSO method

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