Bhattacharya, Dibyadeep
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Modified firefly-optimized PI controller for BLDC motor performance under New European Driving Cycle conditions Bhattacharya, Dibyadeep; Gandhi, Raja; Kumar, Chandan; Sherpa, Karma Sonam; Roy, Rakesh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp140-154

Abstract

This paper presents the application of a modified firefly algorithm (MFA) for tuning the proportional-integral (PI) speed controller of a brushless direct current (BLDC) motor drive, targeting improved overall dynamic performance of the motor drive system for electric vehicle (EV) applications. The controller’s effectiveness is evaluated under two variants of the New European Driving Cycle (NEDC) to replicate real-world driving scenarios. To validate the effectiveness of the proposed approach, a comparative study is carried out with two widely used optimization techniques, such as the standard firefly algorithm (FA) and particle swarm optimization (PSO). Comparative analysis reveals that the MFA-tuned controller delivers superior speed tracking accuracy, with significantly reduced speed error, speed ripple, and copper losses, when compared to controllers optimized using the standard firefly algorithm (FA) and particle swarm optimization (PSO). These improvements enhance both the energy efficiency and operational stability of the motor drive. Furthermore, the result of the experiment shows that the proposed controller demonstrates strong adaptability under varying load and speed conditions, positioning it as a robust solution for both electric vehicles and industrial motor control applications.