Regenerative Braking Torque Ripple Minimization of a Brushless DC Machine Using Fuzzy-PI Controller

Brushless DC Machines (BLDCM) have gained popularity due to their high-power density, efficiency and lower maintenance compared to conventional brushed dc machines. However, they suffer from high torque ripples. Previous solutions for reducing torque ripple have been proposed though majority focus is during motoring mode. This paper is concerned with the development of an adaptive fuzzy logic PI controller for reducing torque ripple during regenerative braking. The proposed technique could reduce torque ripple by 1.2% as compared to the traditional PI controller-based method.