Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect

Nur Iffah, Mohamed Azmi and Nafrizuan, Mat Yahya (2025) Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect. International Journal of Robotics and Automation (IJRA), 14 (1). pp. 67-73. ISSN 2089-4856. (Published)

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DOI/Official URL: http://doi.org/10.11591/ijra.v14i1.pp67-73

Abstract

This paper presents the implementation of the PSO-LFDE (Particle Swarm Optimization with Lévy Flight Doppler Effect) algorithm for optimizing PID controller parameters in a DC motor system. Traditional optimization algorithms like PSO, WOA, GWO, and MFO often face challenges in balancing exploration and exploitation, leading to suboptimal performance. The proposed PSO-LFDE algorithm addresses these issues by incorporating Lévy Flight for enhanced exploration and the Doppler Effect for refined exploitation. The algorithm is validated using MATLAB/Simulink for position control in a DC motor system with step inputs of 10, 30, and 60 cm. Key performance metrics, including rise time, settling time, peak time, and steady-state error, were compared against other optimization methods. PSO-LFDE demonstrated superior performance, achieving a 41.63% improvement in rise time and a 70.20% reduction in peak time compared to other methods. These results highlight PSO-LFDE's effectiveness in optimizing PID controller parameters and improving the dynamic response of DC motor systems, offering a robust solution for real-world control applications.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Doppler effect; DC motor; Levy Flight; Optimisation; PID controller PSO-LFDE
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TS Manufactures
Faculty/Division:	Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	21 Mar 2025 00:52
Last Modified:	21 Mar 2025 00:52
URI:	http://umpir.ump.edu.my/id/eprint/42831
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