In this paper, a precise and computationally efficient method for estimating multiparameter of permanent magnet synchronous motors (PMSMs) is proposed. This method can realize decoupling estimation with a small amount of data at a single speed, and considers the inductance correlation to improve the estimation accuracy. The saturation in the stator frame is first modeled, and then the related inductance model in the rotating frame is derived. The estimation model is established based on the related inductance model, which is modeled by polynomials of d-axis current (Id) for a given q-axis current (Iq). Then, the influence of permanent magnet (PM) flux linkage on inductance estimation can be eliminated by using the partial derivative of the correlated inductance model. The estimation model fully explores the inductance correlation and can realize the decoupling of PM flux linkage (λ0) and inductance, which greatly improves the inductance estimation accuracy, especially when Id is small. Moreover, this paper realizes the estimation of distortion voltage, PM flux linkage, and stator resistance based on the derived electrical model and mechanical model. Compared with the existing method, this method can use a small amount of data at a single speed to model voltage, which can effectively reduce the influence of measurement noise and improve the calculation efficiency. Experimental verification on a laboratory PMSM prototype shows that the method’s performance of the proposed method is better than existing methods under various working conditions.

Permanent magnet synchronous motors (PMSMs)  /  Decoupling estimation  /  Correlated inductance  /  Partial derivative  /  Mechanical and electrical model