Metaheuristic Optimization Techniques Used in Controlling of an Active Magnetic Bearing System for High-Speed Machining Application

Authors

Suraj Suraj, Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, Aizawl, India
Pabitra Kumar Biswas Pabitra Kumar Biswas, Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, Aizawl, India
Sukanta Debnath, Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, Aizawl, India
Anumoy Ghosh, Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, Aizawl, India
Thanikanti Sudhakar Babu, Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India
Hossam Zawbaa, Technological University Dublin, IrelandFollow
Salah Kemal, Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt

Document Type

Article

Disciplines

2.2 ELECTRICAL, ELECTRONIC, INFORMATION ENGINEERING, Electrical and electronic engineering

Publication Details

https://ieeexplore.ieee.org/document/10035397/keywords#keywords

https://doi.org/10.1109/ACCESS.2023.3241854

Abstract

Smart control tactics, wider stability region, rapid reaction time, and high-speed performance are essential requirements for any controller to provide a smooth, vibrationless, and efficient performance of an in-house fabricated active magnetic bearing (AMB) system. In this manuscript, three pre-eminent population-based metaheuristic optimization techniques: Genetic algorithm (GA), Particle swarm optimization (PSO), and Cuckoo search algorithm (CSA) are implemented one by one, to calculate optimized gain parameters of PID controller for the proposed closed-loop active magnetic bearing (AMB) system. Performance indices or, objective functions on which these optimization techniques are executed are integral absolute error (IAE), integral square error (ISE), integral time multiplied absolute error (ITAE), and integral time multiplied square error (ITSE). The significance of an optimization technique and objective function can obtain only by implementing it. As a result, several comparisons are made based on statistical performance, time domain, frequency response behavior, and algorithm execution time. Finally, the applicability of optimization strategies in addition to the performance indices is determined with the aid of the comparative analysis. That could assist in choosing a suitable optimization technique along with a performance index for a high-speed application of an active magnetic bearing system.

DOI

https://doi.org/10.1109/ACCESS.2023.3241854

Recommended Citation

Suraj, Suraj; Pabitra Kumar Biswas, Pabitra Kumar Biswas; Debnath, Sukanta; Ghosh, Anumoy; Babu, Thanikanti Sudhakar; Zawbaa, Hossam; and Kemal, Salah, "Metaheuristic Optimization Techniques Used in Controlling of an Active Magnetic Bearing System for High-Speed Machining Application" (2023). Articles. 358.
https://arrow.tudublin.ie/engscheleart2/358

Funder

European Union's Horizon 2020 Research and Enterprise Ireland under the Marie Sklodowska-Curie

Creative Commons License

This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.