Title: Design and optimisation of a fuzzy-PI controlled modified inverter-based PMSM drive employed in a light weight electric vehicle

Authors: Chiranjit Sain; Atanu Banerjee; Pabitra Kumar Biswas; Ahmad Taher Azar; Thanikanti Sudhakar Babu

Addresses: Department of Electrical Engineering, National Institute of Technology Meghalaya, Bijni Complex, Laitumukhrah, Shillong, Meghalaya, India ' Department of Electrical Engineering, National Institute of Technology Meghalaya, Bijni Complex, Laitumukhrah, Shillong, Meghalaya, India ' Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, Aizawl, India ' College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia; Faculty of Computers and Artificial Intelligence, Benha University, Egypt ' Department of Electrical Power Engineering, Institute of Power Engineering, Universiti Tenaga Nasional, Malaysia

Abstract: In this paper, a pulse width modulation (PWM) controlled permanent magnet synchronous motor (PMSM) is designed and illustrated using fuzzy logic control. The traditional PI controller is modified as a fuzzy-PI controller for faster dynamic response. The fuzzy logic operated speed controller ensures an almost zero steady-state speed error in this proposed approach. In addition, a stochastic optimisation tool such as the updated particle swarm optimisation (PSO) technique is used to optimise the performance of the proposed fuzzy logic controller. The economical as well as robust design procedure for the buck converter fed VSI is also proposed. With the configuration of the inverter, an improved over-current protection method is developed for the permanent magnet motor in a real-time light electric vehicle. Later, the control strategy of the developed prototype is tested and verified using a low-cost microcontroller. Furthermore, to improve the robustness of the drive, sensorless speed estimation procedure is also adopted in the real-time setup. Finally, simulations and test results reveal the efficacy of this proposed approach over the existing control topologies.

Keywords: electric vehicles; fuzzy logic controller; FLC; pulse width modulation; PWM; permanent magnet synchronous motor; PMSM; particle swarm optimisation; PSO; electric vehicle; fuzzy control; pulse width modulation; PWM; optimisation; permanent magnet synchronous motor; PMSM.

DOI: 10.1504/IJAAC.2022.122603

International Journal of Automation and Control, 2022 Vol.16 No.3/4, pp.459 - 488

Received: 29 Feb 2020
Accepted: 05 Aug 2020
Published online: 04 May 2022 *

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