Torque and Current Noise Reduction of BLDC Motor Using Fuzzy Logic Control Strategy

Abstract

The torque of the permanent magnet brushless direct current (PMBLDC) motor is one of the major parameters of concern as it indirectly controls the stator current magnitude. Speed control of BLDCM can be done using different controllers. Among them, PID controller is the most commonly used controller for this machine. But in the case of load change, the torque and the stator current characteristics deteriorate significantly. It has already been studied that fuzzy controllers have better speed control over conventional PID controllers in all aspects (Usman and Rajpurohit in speed control of a BLDC motor using fuzzy logic controller. International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, India, 2016, [1]; Kamal et al. in speed control of brushless DC motor using intelligent controllers. 2014 Students Conference on Engineering and Systems, Allahabad, India, 2014, [2]), but in this paper, it has been shown that a suitably designed fuzzy controller is also able to reduce noise from torque and current characteristics of BLDCM significantly than any conventional PID controller. Here, source voltage control method is used to control the speed of the BLDCM. Complete analysis of both torque and stator current waveforms has been done, and then, overall results were compared and analysed with those of conventional PID controller. In comparison with conventional controller, the fuzzy controller provides better reduction of noise from torque and stator current characteristics along with better speed control in sudden load change conditions. The above investigation has been done completely in MATLAB/Simulink environment (Tibor et al. in modelling and simulation of the BLDC motor in MATLAB GUI. 2011 IEEE International Symposium on Industrial Electronics, Gdansk, Poland, 2011, [3]).