Sensorless Linear Induction Motor Control using Fuzzy Observers for Speed Tracking

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Title:	Sensorless Linear Induction Motor Control using Fuzzy Observers for Speed Tracking
Authors:	Liu, Peter;Hung, Cheng-yao;Chiu, Chian-song;Lian, Kuang-yow
Contributors:	淡江大學電機工程學系
Date:	2010-05
Issue Date:	2011-08-17 10:22:39 (UTC+8)
Abstract:	In this paper, a sensorless speed controller for linear induction motor (LIM) is developed based on a fuzzy observer. First, the LIM is represented by a T-S fuzzy model. Next, the fuzzy observer is constructed to estimate the immeasurable states including the mover speed and secondary flux, where the observer gains are obtained by computationally solving a set of linear matrix inequalities. Based on the fuzzy observer, the synthesis using the virtual desired variable concept is applied to design the control law. Then, the exponential convergence for both estimation error and tracking error is concluded. This indicates that the proposed sensorless speed control possesses the feature with fast transient response and high robustness. Finally, experiments are carried out to verify the theoretical results and show satisfactory performance.
Relation:	2010 IEEE International Conference on Robotics and Automation(ICRA),Alaska, USA, pp.5621-5626
DOI:	10.1109/ROBOT.2010.5509940
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Proceeding

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