A Fuzzy Logic Approach for Efficient Control of BLDC Motors for Low-Cost Electric Two-Wheelers

Abstract

This research aims to provide an analysis of the fuzzy control applications in the management of Brushless DC motors for low-cost two-wheelers. Specifically, it is possible to speak about the speed control, torque control, and the optimization of the efficiency of motors using fuzzy logic algorithms that are designed to meet the needs and requirements of the final applications of two-wheelers. To conduct trials, ten tests were selected. The results show that the fuzzy control system successfully controlled motor speed. The mean absolute error ranged from 4.6 to 5.5 rpm, and the root mean square error ranged from 6.5 to 8.2 rpm. Torque control was precise and stable with torque ripple between 0.13 and 0.16 Nm and control tracking error of 4.6 to 5.5%. Thus, the performance and efficiency of BLDC motors for low-cost electric two-wheelers can be optimized. The determined energy conversion efficiency values range from 92.3% to 93.2%. The power losses vary within from 110 to 127 watts, and the given thermal efficiency ranges from 84.5% to 86.5%. In such a way, a fuzzy logic approach is found to be a viable solution to improve the performance and efficiency of BLDC motors for low-cost electric two-wheelers and develop sustainable means of transportation.