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Control Chaos in Brushless DC Motor via Piecewise Quadratic State Feedback

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Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3645))

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Abstract

The chaotic phenomenon in the brushless DC motor is revisited in this paper. For a specific real physical plant (i.e., the brushless DC motor), the main drawback of some existing chaos control methods is first analyzed. Then, a piecewise quadratic state feedback method is proposed for controlling chaos in the brushless DC motor model. In the proposed method, the direct-axis (or quadrature-axis stator voltage) is used as the control variable, and the piecewise quadratic state feedback is used as the control law. The control mechanism is illustrated and then the principle of parameters selection is discussed. Chaos in the brushless DC motor model can be satisfactorily eliminated by the proposed piecewise quadratic state feedback, and the speed of the motor can be stabilized to a constant value. This control method is simple and can be easily implemented. Simulation results verify the effectiveness of the method.

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Author information

Authors and Affiliations

  1. School of Automation and Information engineering, Xi’an University of Technology, Xi’an, China

    Hai Peng Ren

  2. Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China

    Guanrong Chen

Authors
  1. Hai Peng Ren
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  2. Guanrong Chen
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Editor information

Editors and Affiliations

  1. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China

    Xiao-Ping Zhang

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

    Guang-Bin Huang

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© 2005 Springer-Verlag Berlin Heidelberg

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Ren, H.P., Chen, G. (2005). Control Chaos in Brushless DC Motor via Piecewise Quadratic State Feedback. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_16

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  • DOI: https://doi.org/10.1007/11538356_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28227-3

  • Online ISBN: 978-3-540-31907-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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