针对永磁同步电机(PMSM)运行过程中电机参数受运行工况影响实时摄动的问题,提出一种基于稳态欠秩方程的电机多参数并行在线辨识算法。对PMSM稳定状态方程组的系数矩阵进行分析,指出PMSM稳定状态方程组为秩数为2的包含3个未知参数的欠秩方程。基于Lyapunov稳定性理论及Popov超稳定性理论分别设计了PMSM模型参考自适应多参数并行辨识器,通过设计合理的自适应律使得参考自适应系统渐进稳定,对电机定子电阻、电感及转子磁链进行相应辨识。试验辨识结果验证了所提辨识算法的有效性和实用性。

Aiming at the problem of realtime perturbation of the motor parameters affected by the operating conditions during the operation of the permanent magnet synchronous motor (PMSM), a multiparameter parallel online identification algorithm for PMSM based on rank deficient steady equation was proposed. The coefficient matrix of the steady state equation of PMSM was analyzed, and the steady state equation of PMSM was the rank deficient equation with the rank number of two and three unknown parameters was pointed out. Based on the theory of Lyapunov stability and Popov super stability theory, the PMSM model reference adaptive multiparameter parallel identifiers were designed. By designing reasonable adaptive law, the reference adaptive system is gradually stabilized, and the motor stator resistance, inductance and rotor flux were identified correspondly. The experimental results verified the validity and practicability of the proposed algorithm.

TM 351

江苏省自然科学基金面上项目(BK20161229)；江苏省高校自然科学研究面上项目(16KJB510046)