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Fuzzy PI Control of Trapezoidal Back EMF Brushless DC Motor Drive Based on the Position Control Optimization Technique

Author

Listed:
  • D. Magdalin Mary
  • C. Kumar
  • Felix Joseph Xavier
  • Sara A. Rashad
  • Hady H. Fayek
  • Naganthini Ravichandran
  • Sourav Barua
  • Jie Hu

Abstract

In this article, a novel methodology has been created based on optimized fuzzy PI controller using position control optimization (PCO). This proposed PCO algorithm ensures better control of brushless direct current motor (BLDCM) in order to reduce steady-state error and oscillation as well as improve the system response by optimizing the speed and position of rotor. The suitability of this technique has been simulated in different stages, so as to infer the optimization in results. The main motivation of this paper is to get better efficiency and optimum response from BLDCM, by comparing its performance characteristics with existing methods. The detailed investigation research through simulation is carried out using MATLAB/Simulink. However, in order to obtain well-defined results, the PCO technique was applied and the performance obtained was highly optimized than previously applied techniques. Through the simulations, the proposed approach can outperform the existing approaches such as PSO and moth-flame algorithm (MFA).

Suggested Citation

  • D. Magdalin Mary & C. Kumar & Felix Joseph Xavier & Sara A. Rashad & Hady H. Fayek & Naganthini Ravichandran & Sourav Barua & Jie Hu, 2022. "Fuzzy PI Control of Trapezoidal Back EMF Brushless DC Motor Drive Based on the Position Control Optimization Technique," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, July.
    • Handle: RePEc:hin:jnlmpe:4605449
    DOI: 10.1155/2022/4605449
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