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

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...

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Main Authors: Nur Iffah, Mohamed Azmi, Nafrizuan, Mat Yahya
Format: Article
Language:English
English
Published: Institute of Advanced Engineering and Science 2025
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42831/
http://umpir.ump.edu.my/id/eprint/42831/1/Position%20Tracking%20of%20DC%20Motor%20with%20PID%20controller.pdf
http://umpir.ump.edu.my/id/eprint/42831/7/Position%20tracking%20of%20DC%20motor%20with%20PID%20controller.pdf
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author Nur Iffah, Mohamed Azmi
Nafrizuan, Mat Yahya
author_facet Nur Iffah, Mohamed Azmi
Nafrizuan, Mat Yahya
author_sort Nur Iffah, Mohamed Azmi
building UMP Institutional Repository
collection Online Access
description 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.
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language English
English
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publishDate 2025
publisher Institute of Advanced Engineering and Science
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spelling ump-428312025-03-21T00:52:48Z http://umpir.ump.edu.my/id/eprint/42831/ Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect Nur Iffah, Mohamed Azmi Nafrizuan, Mat Yahya TJ Mechanical engineering and machinery TS Manufactures 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. Institute of Advanced Engineering and Science 2025-03 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/42831/1/Position%20Tracking%20of%20DC%20Motor%20with%20PID%20controller.pdf pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/42831/7/Position%20tracking%20of%20DC%20motor%20with%20PID%20controller.pdf 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) http://doi.org/10.11591/ijra.v14i1.pp67-73 http://doi.org/10.11591/ijra.v14i1.pp67-73
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Nur Iffah, Mohamed Azmi
Nafrizuan, Mat Yahya
Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
title Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
title_full Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
title_fullStr Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
title_full_unstemmed Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
title_short Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
title_sort position tracking of dc motor with pid controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
topic TJ Mechanical engineering and machinery
TS Manufactures
url http://umpir.ump.edu.my/id/eprint/42831/
http://umpir.ump.edu.my/id/eprint/42831/
http://umpir.ump.edu.my/id/eprint/42831/
http://umpir.ump.edu.my/id/eprint/42831/1/Position%20Tracking%20of%20DC%20Motor%20with%20PID%20controller.pdf
http://umpir.ump.edu.my/id/eprint/42831/7/Position%20tracking%20of%20DC%20motor%20with%20PID%20controller.pdf