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Performance Analysis of Optimized PI Controller Based BLDC Drive

Publication Type : Journal Article

Publisher : Praise Worthy Prize

Source : International Review on Modelling and Simulations (IREMOS)

Url : https://doi.org/10.15866/iremos.v18i2.25276

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Year : 2025

Abstract : In response to the escalating environmental concerns and the imperative for sustainable transportation, this paper presents a holistic investigation into the application of Brushless DC (BLDC) motor drives for Electric Vehicles (EVs). The research not only explores the intrinsic advantages and drawbacks of BLDC motors but also addresses the pressing need for torque ripple reduction, a critical aspect in enhancing the performance of these propulsion systems. This work employs the Whale Optimization Algorithm (WOA) and the Genetic Algorithm (GA) to minimize torque ripple, thereby contributing to the optimization of BLDC motor drives for EVs. We conducted the studies on 48 V, 400 W, and 3000 RPM BLDC motor drives and achieved reductions in torque ripple of 21% and 34.65% with GA and WOA, respectively. Experimental results also verify the controller's performance.

Cite this Research Publication : Gorla Rohith, M. Mohamed, A. C. Nithesh Kalyan, Nitturu Niranjan Reddy, M. R. Sindhu, M. Jayakumar, Performance Analysis of Optimized PI Controller Based BLDC Drive, International Review on Modelling and Simulations (IREMOS), Praise Worthy Prize, 2025, https://doi.org/10.15866/iremos.v18i2.25276

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