Decoupled Estimation Scheme for PMSMs Toward Accurate Inductance Modeling

Abstract

Parameter identification of permanent magnet synchronous machines (PMSMs) is critical toward building an accurate machine model, achieving precise control, and improving operational reliability. This article proposes a decoupled estimation scheme for interior PMSM with consideration of magnetic saturation as nonlinear functions of current to improve the inductance estimation accuracy. An improved machine model considering magnetic saturation and cross-coupling effects by utilizing a quadratic model in inductance calculation is developed. Furthermore, the decoupled estimation scheme with considering stator resistance and iron loss resistance can effectively reduce the interaction in the process of parameter identification, and the least square algorithm is employed to improve the computational efficiency. Moreover, this proposed method is especially dedicated to the modern testing solutions that require complex hardware and extensive machine operation while being noninvasive by nature.