NDLI: Optimized adaptive sliding-mode position control system for linear induction motor drive

Content Provider	IEEE Xplore Digital Library
Author	Kou-Cheng Hsu Hsin-Han Chiang Chin-I Huang Tsu-Tian Lee
Copyright Year	2013
Description	Author affiliation: Dept. Electr. Eng., Fu Jen Catholic Univ., Taipei, Taiwan (Kou-Cheng Hsu; Hsin-Han Chiang; Chin-I Huang) \|\| Dept. Electr. Eng., Chung Yung Christian Univ., Chungli, Taiwan (Tsu-Tian Lee)
Abstract	This paper proposes an optimized adaptive position control system applied for a linear induction motor (LIM) drive taking into account the longitudinal end effects and uncertainties including the friction force. The dynamic mathematical model of an indirect field-oriented LIM drive is firstly derived for controlling the LIM. On the basis of a backstepping control law, a sliding mode controller (SMC) with embedded fuzzy boundary layer is designed to compensate the lumped uncertainties during the tracking control of periodic reference trajectories. Since it is difficult to obtain the bound of lumped uncertainties in advance in practical applications, an adaptive tuner based on the sense of Lyapunov stability theorem is derived to adjust the fuzzy boundary parameters in real-time. It is a quite complicated process of parameter tuning, especially for the proposed controller, due to the difficulty arisen from lacking of the accurate mathematical model of a system accompanied with unknown disturbance. Therefore, the soft-computing technique is adopted for off-line optimizing the controller parameters. The effectiveness of the proposed control scheme is validated through simulations and experiments for several scenarios. Finally, the advantages of performance improvement and robustness are illustrated at the end of the optimization procedure.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	355
Ending Page	360
File Size	645589
Page Count	6
File Format	PDF
ISBN	9781467351980
e-ISBN	9781467352000
e-ISBN	9781467351997
DOI	10.1109/ICNSC.2013.6548763
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-10
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Mathematical model Control systems Genetic algorithms Force Optimization Induction motors linear induction motors(LIM) backstepping control adaptive control soft-computing optimization position tracking
Content Type	Text
Resource Type	Article

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