关键词: 电机铭牌, 粒子群优化算法, 杂散损耗, 滑环碳刷, 优化模型

Abstract: A new method was proposed based on motor nameplate and particle swarm optimization (PSO) for identification of motor equivalent circuit parameters. The method effectively solved to present problems of motor equivalent circuit parameters identification method. An accurate motor equivalent circuit was built by introducing an equivalent stray-loss resistance, mechanical loss, and slip loss of ring brushes for wound motor. An identification optimization model of equivalent circuit was established based on motor nameplate parameters and motor equivalent circuit’s calculating parameters. Solving optimization model with PSO was achieved a higher probability optimization goals. The motor electrical parameters were calculatd at different speeds with the equivalent circuit identified parameters and compared with the measured values. Experimental results show that proposed parameter identification method based on motor nameplate parameters and combining PSO optimization method is effective.

Key words: motor nameplate, PSO, stray loss, slip ring brushes, optimization model