Abstract
AbstractOver the years, the applications of variable speed drive system have been increases very vast in the field of automobile industries and many more household applications. The non-polluted electronics are implemented in order to use for energy consumption of various devices. This leads to the evolution of brushless DC motor. BLDC motor provides the dominancy over the conventional DC motor with respect to high torque-to-weight ratio, more torque per watt, and many more. This paper represents the speed control of BLDC motor using particle swarm optimization algorithm. The PSO algorithm is used to tune PI controller in order to get fast convergence to optimum values. Compared with traditional Ziegler–Nichol’s method, PSO algorithm provides an improved time response performance with lower overshoot and effective speed control. The model is implemented in MATLAB Simulink, and simulation results are presented.KeywordsBLDC motorPI controllerParticle swarm optimizationMATLABSimulink
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