Parameter Identification of PMSMs Using Experimental Measurements and a PSO Algorithm

Abstract

This paper introduces a particle swarm optimization (PSO) algorithm that uses experimental measurements for the identification of the direct ( $d$ ) and quadrature ( $q$ ) stator inductances and the stator resistance of permanent-magnet synchronous machines (PMSMs). Strategies for the identification of stator resistance and flux linkage of permanent magnets are also presented. The developed PSO algorithm has the advantages of fast and stable convergence characteristics, and it is relatively easy to implement; moreover, neither voltage source inverters nor closed-loop control strategies are needed. In this paper, the experimental results obtained by PSO are compared with other ones obtained through a current decay test to demonstrate the effectiveness of the presented method. A 32-bit C2000 real-time microcontroller and a commercial surface-mounted PMSM have been used to carry out the experimental measurements.