The brushless director current (DC) motor is a new type of mechatronic motor that has been developed rapidly with the\ndevelopment of power electronics technology and the emergence of new permanent magnet materials. Based on the speed\nregulation characteristics, speed regulation strategy, and mathematical model of brushless DC motor, a parameter optimization\nmethod of proportional-integral (PI) controller on speed regulation for the brushless DC motor based on particle swarm\noptimization (PSO) algorithm with variable inertia weights is proposed. The parameters of PI controller are optimized by PSO\nalgorithm with five inertia weight adjustment strategies (linear descending inertia weight, linear differential descending inertia\nweight, incremental-decremented inertia weight, nonlinear descending inertia weight with threshold, and nonlinear descending\ninertia weight with control factor). The effectiveness of the proposed method is verified by the simulation experiments and the\nrelated simulation results.
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