Fault diagnosis using recursive least square algorithm for permanent magnet synchronous motor drives

Abstract

This paper proposes a novel diagnosis scheme using parameter estimation of stator resistance, especially, in subject to the open-phase faults of PMSM drives. The stator resistances of PMSM are estimated by recursive least square (RLS) algorithm in real time. The fault diagnosis is achieved by analyzing the estimated stator resistance of each phase according to fault condition. The proposed diagnosis scheme is implemented without any extra devices. Moreover, the estimated parameter information can be used in order to improve the control performance. The feasibility of the proposed fault diagnosis scheme is proved by simulation and experimental results.