Online Parameter Identification of PMSM Based on LAWPSO

In the parameter identification of permanent magnet synchronous motor (PMSM), traditional strategies are complex and low efficiency. In the paper, a logistic function-based adaptive inertia weight particle swarm optimization algorithm is adopted to achieve online identification of electrical parameters and mechanical parameters of PMSM. The experimental results show the algorithm can accurately identify five motor parameters online, which have attributes of faster convergence and accuracy. Finally, experiments verify effectiveness and feasibility of the algorithm.