Abstract
This paper addressed an adaptive fuzzy dynamic surface control (DSC) approach to speed regulation for induction motors. Fuzzy logic systems are used to approximate unknown nonlinear functions and the adaptive backstepping method is employed to construct controllers. By incorporating dynamic surface control technique into fuzzy control, we have developed an adaptive backstepping control design for induction motors. The proposed control method is able to overcome the problem of “explosion of complexity” inherent in the traditional backstepping design by introducing first-order low-pass filters. The adaptive fuzzy controllers guarantee the speed tracking error converges to a small neighborhood of the origin. Simulation results illustrate the effectiveness of the proposed approach.
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Acknowledgments
This work is supported by the Natural Science Foundation of China (61104076, 61174131, 61174033, 61473160) the China Postdoctoral Science Foundation (2014T70620, 2013M541881, 201303062) and Qingdao Postdoctoral Application Research Project.
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Shi, F., Ma, Y., Yu, J., Yu, J., Qu, Z. (2015). Adaptive Fuzzy Dynamic Surface Control for Induction Motors via Backstepping. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_25
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DOI: https://doi.org/10.1007/978-3-662-46463-2_25
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