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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| Format: | Article |
| Language: | English English |
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Institute of Advanced Engineering and Science
2025
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| 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 |
| Summary: | 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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