Abstract
The accurate information of the initial rotor position is very critical for successful starting of the Surface-mounted Permanent Magnet Synchronous Motor (SPMSM). In order to solve the problems of low accuracy and unreliability in the conventional estimation strategy, in this paper, an improved initial rotor position estimation strategy without any position sensor for SPMSM at standstill is proposed based on rectangular pulse voltage injection. In the work, when the second series of pulse voltages were applied. By the ways of strengthening the effect of weakening or strengthening magnetic fields and increasing the difference between each current of the vector. The improved strategy enhanced reliability and raised the initial position estimation accuracy from 7.5° to 1.875°. The improved strategy does not need any additional hardware. Experimental results demonstrate the validity and usefulness of the improved strategy.
Highlights
Permanent magnet synchronous Motors (PMSM) have been widely used in Electric Vehicles because of their advantages, such as high power density and high efficiency [1]
The aim of this paper is to provide an improved initial rotor position estimation strategy for Surface-mounted Permanent Magnet Synchronous Motor (SPMSM) drives without a position sensor which are based on voltage vector injection
After voltage vectors are injected into the SPMSM, step responses will be generated in phase currents [24]
Summary
Permanent magnet synchronous Motors (PMSM) have been widely used in Electric Vehicles because of their advantages, such as high power density and high efficiency [1]. The conventional PMSM drive systems always require the absolute rotor position information to exactly control the motor torque. The problem of rotor position estimation is solved by using position sensors, such as a resolver or an encoder. There are many drawbacks in conventional drive systems, such as the limited speed, the higher cost, and the lower reliability of the system [2]. To solve this problem, the sensorless control technology has been attracting attention, and various studies have been published over the past two decades or so [3,4,5,6]. Rotor position and speed estimation techniques can be approximately classified into two main categories according to its principle of estimating rotor position: the back electromotive force (EMF) voltage estimation strategy [6,7,8] and saliency-based estimation strategy [9,10,11]
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