Position Sensorless Control for IPMSM of Spatial Inductance Distribution with Nonsinusoidal Inductance Waveform Based on Pattern Matching Method

Abstract

This paper presents a novel pattern matching based position sensorless control method for IPMSMs. A target IPMSM for the proposed method is designed such that it has high power and torque density, while also being significantly influenced by magnetic saturation. As previously reported in papers [1, 2], for IPMSMs, heavy magnetic saturation affects the spatial distribution of phase inductances according to rotor positions. Most position sensorless controls at low speeds typically depend on the assumption that phase inductances have sinusoidal spatial distribution according to rotor positions. Therefore, it is difficult to apply conventional methods to IPMSMs with heavy magnetic saturation. In the proposed method, rotor position is estimated by pattern matching using feature values, so that the phase inductances have unique and reproducible value according to rotor positions. While template data sets are required for the proposed method, the assumption for sinusoidal phase inductances is not. In this paper, the effect of magnetic saturation for position estimation based on conventional methods is discussed in Section 1 and 2. Then, details of the proposed method are shown in Section 3. In Section 4, results of experiments carried out in steady state and transient state are presented. The effectiveness of the proposed method is verified through the experiments.

Speed Stability and Anti-Disturbance Performance Improvement of an Interior Permanent Magnet Synchronous Motor for Electric Vehicles

“…Therefore, this study delves into the composite control of speed-loop and current-loop in IPMSM, with a specific emphasis on assessing and comparing three control models for the speed-loop. Notably, the IPMSM distinguishes itself from traditional PMSM through the inclusion of permanent magnets embedded in the rotor, resulting in high power density and a superior torque/inertia ratio [15][16][17].…”

Improvement of low‐speed sensorless control with multi‐layer neural network

“…In addition, sufficient accuracy of position estimation is not obtained when a control system assuming sinusoidal distribution is applied to motors with big space harmonics or motors with nonlinear elements strongly affecting magnetic saturation; in Reference, 19 a precise table is prepared for measured current slope in an attempt to improve position estimation accuracy.…”