Position Sensorless Control based on Pattern Matching Method using Multiple Template Data Sets to Improve Position Control Error

摘要

This paper presents a position sensorless control scheme based on pattern matching method for high power density Interior Permanent Magnet Synchronous Motors (IPMSMs) that have non-sinusoidal inductance spatial distribution. The pattern matching method achieves the closed loop position sensorless control under heavy load condition. However, atypical position control control errors are generated. To improve the position control errors, a new pattern matching method is proposed in this paper. The proposed method estimates the rotor position by using multiple template data sets which created while changing a current phase. Through experimental results, the effectiveness of the proposed method is presented.