Based on Multi-Estimator Technology to Control Speed of Induction Motor

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Abstract:

In order to improve the reliability of the control system, and to reduce the uncertainty of control process, this paper presents an excellent algorithm to control the induction motor speed using series estimator technology. The physical speed sensor is not used to detect speed of the motor, while applying the vector analysis method, through the stator current and the rotor flux are calculated to estimate motor speed. Corresponding to sensorless control drawbacks, the self-tuning control scheme is proposed through control scheme reformed. The double estimator technology is applied to reform scheme, the first order estimator is used to identify the system parameters, the second order estimator is used to calculate the parameters of the controller on-line, and control function is given real-time to control the speed of the motor, the simulation results show that the given control technology is advanced.

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329-333

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] M Menna, O Touhami, R Ibtiouen, M Fadel. Sensorless direct vector control of an induction motor. Control Engineering Practice. Vol. 16, No. 1 (2008), pp.67-77.

DOI: 10.1016/j.conengprac.2007.04.002

Google Scholar

[2] O Barambones, A J Garrido. Adaptive sensorless robust of ac drives based on sliding mode control theory. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL. Vol. 17, No. 8 (2007), pp.862-879.

DOI: 10.1002/rnc.1157

Google Scholar

[3] Yu Sheng Lu. Smooth speed control of motor drives with asymptotic disturbance compensation. Control Engineering Practice. Vol. 16, No. 5 (2008), pp.597-608.

DOI: 10.1016/j.conengprac.2007.06.006

Google Scholar

[4] Induction machine speed control with flux optimization. Control Engineering Practice. Vol. 18, No. 1 (2010), pp.55-66.

Google Scholar

[5] S B Chen, J Wu, Q Y Du. Non-linear modelling and compound intelligent control of pulsed gas tungsten arc welding dynamics. Systems and Control Engineering. Vol. 225, No. 1 (2010), pp.113-124.

DOI: 10.1243/09596518jsce1063

Google Scholar