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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98929

    Title: Adaptive Fuzzy Sliding Mode Control of Linear Induction Motors with Unknown End Effect Consideration
    Authors: Huang, Chin-I;Hsu, Kou-Cheng;Chiang, Hsin-Han;Kou, Kuang-Yang;Lee, Tsu-Tian
    Contributors: 淡江大學電機工程學系
    Date: 2012-09-18
    Issue Date: 2014-09-25 10:49:58 (UTC+8)
    Abstract: In this paper, an adaptive fuzzy sliding mode controller (AFSMC) is proposed for a linear induction motor (LIM) taking into account the longitudinal end effect 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) embedded with fuzzy boundary layer is designed to compensate lumped uncertainties during the tracking control of periodic reference trajectories. Since the bound of lumped uncertainties is difficult to obtain advance in practical applications, an adaptive tuner based on the sense of Lyapunov stability theorem is derived to adjust the controller parameter in real-time, and also for further confronting the increasing disturbance and uncertainties. The indirect field-oriented LIM with the proposed AFSMC assures the system stability, asymptotic output tracking, and the robust control performance. The effectiveness of the proposed control scheme is verified through experimental results, and its advantages of control performance and robustness are exhibited in comparison with SMC and FSMC approaches.
    Relation: Proceedings of the 2012 International Conference on Advanced Mechatronic Systems, pp.626-631
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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