A New Sliding Mode Observer for the Sensorless Control of a PMLSM

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Abstract:

In order to achieve sensorless control for permanent magnet linear synchronous motor (PMLSM) direct drive system, speed and position of the motor must be estimated. A new high speed sliding mode observer (SMO) is proposed for a PMLSM based on the sliding mode variable structure theory. A Sigmoid function is used for the SMO as a switching function of the control law, eliminating sliding mode chattering and improving its response rate. Simulation results show that the proposed SMO based on Sigmoid function is capable of estimating speed and position of the motor accurately and rapidly, and the proposed PMLSM sensorless control system has a good dynamic response.

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1401-1404

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wang Mulan, Zhang Congwei, Lin Jian, Pan Chao. Development of an experimental platform for linear motors in CNC machine tools [J]. China Mechanical Engineering, 2012, 23(3): 274-278.

Google Scholar

[2] Lu Huacai, Xu Yuetong. Speed and position estimation algorithm of permanent magnet linear synchronous motor based on augmented extended Kalman filter [J]. Proceedings of the CSEE, 29(33): 90-94.

Google Scholar

[3] Tursini M, Petrella R, Scafati A. Speed and position estimation for PM synchronous motor with back-EMF observer [C]. Fourtieth IAS Annual Meeting on Industry Applications Conference, Hong Kong, China, 2005, 3: 2083-(2090).

DOI: 10.1109/ias.2005.1518735

Google Scholar

[4] Corley M J, Lorenz R D. Rotor position and velocity estimation for a salient-pole permanent magnet syncronous machine at standstil and hight speed [J]. IEEE Transaction on Industry Applications, 1998, 34(4): 784-789.

DOI: 10.1109/28.703973

Google Scholar

[5] Parasiliti F. Sensorless speed control of a PM synchronous motor based on sliding mode observer and extended Kalman filter [C]. Thirty-Sixth IAS Annual Meeting, IEEE Conference on Industry Applications, 2011, 1: 533-540.

DOI: 10.1109/ias.2001.955472

Google Scholar