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Sensorless Control Of Permanent Magnet Synchronous Machine Based On High Frequency Signal Injection And Kalman Filter

Posted on:2006-12-11Degree:MasterType:Thesis
Country:ChinaCandidate:J F ZhengFull Text:PDF
GTID:2132360152491648Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
Interior permanent magnet (IPM) synchronous machine are attractive candidates for high performance applications because of their high efficiency and suitability for wide speed ranges of constant power operation. The demand of inexpensive and reliable drive now pushes applied research toward the elimination of mechanical sensors. Recently, sensorless position control of interior permanent magnet synchronous machine is a challenge. There have been numerous publications on methods to eliminate the position sensor on electric machines in the last several years. Most of these techniques are based on tracking back EMF, which limit the low speed operation of the machine, and is sensitive to the estimation of machine parameters, such as stator inductance and resistance. High performance position control at low speed and zero speed is possible using anisotropic effect being not considered in the fundamental-frequency. At very low speed, several high-frequency signal injection methods have been proposed for estimation rotor position in addition to the fundamental machine driving signals. The main common practical problem in the high frequency signal injection approach is how to process response due to the injected high frequency signal and how to estimate properly rotor position through response processing.This paper presents an approach to sensorless control of interior permanent magnet synchronous machine using a high frequency carrier signal injection. In this proposed method, the control scheme is improved by the use of Kalman filtering. The sine voltage carrier signal is injected in the stator, and the rotor position error signal is extracted from the carrier current with saliency tracking. Then it is processed by Kalman filter, which yields position and velocity estimations. The problem of recovery is implemented in a second order low-pass filter with heterodyning process. Finally, the simulation results show it is feasible for low speed, including zero speed.
Keywords/Search Tags:IPM Synchronous Machine, Sensorless Control, High Frequency Signal Injection, Kalman Filter
PDF Full Text Request
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