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Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation

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  • Bo Zhang

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
    Laboratory of Advanced Unmanned Systems Technology, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, China)

  • Jianping Yuan

    (Laboratory of Advanced Unmanned Systems Technology, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, China)

  • J. F. Pan

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Xiaoyu Wu

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Jianjun Luo

    (Laboratory of Advanced Unmanned Systems Technology, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, China)

  • Li Qiu

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

Abstract

This paper discusses the tracking coordination of a linear switched reluctance machine (LSRM) network based on a global feedback control strategy with a full-state observation framework. The observer is allocated on the follower instead of the leader to form a leader–follower–observer network, by utilizing the leader as the global feedback tracking controller and the observer as the observation of the full states. The internal model compensator (IMC) is applied to the leader for the improvement of the network performance. The full-state information of the LSRM network is reconfigured by the output of the LSRM where the observer is located to provide necessary feedback information to the leader. Then, the controllability and observability of the leader–follower–observer network with the IMC are inspected, serving as a basis for the design of the global controller with the IMC and full-state observer. Experimentation verifies the effectiveness of the proposed network control scheme and the results demonstrate that both the absolute and the relative accuracy can be simultaneously improved, compared to the LSRM network with only the consensus algorithm and no global feedback mechanism.

Suggested Citation

  • Bo Zhang & Jianping Yuan & J. F. Pan & Xiaoyu Wu & Jianjun Luo & Li Qiu, 2017. "Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation," Energies, MDPI, vol. 10(12), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2019-:d:121379
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    References listed on IDEAS

    as
    1. Bo Zhang & J.F. Pan & Jianping Yuan & Wufeng Rao & Li Qiu & Jianjun Luo & Honghua Dai, 2017. "Tracking Control with Zero Phase-Difference for Linear Switched Reluctance Machines Network," Energies, MDPI, vol. 10(7), pages 1-15, July.
    2. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    3. Bo Zhang & Jianping Yuan & Jianjun Luo & Xiaoyu Wu & Li Qiu & J.F. Pan, 2017. "Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines," Energies, MDPI, vol. 10(9), pages 1-15, September.
    4. Bo Zhang & Jianping Yuan & Jianfei Pan & Xiaoyu Wu & Jianjun Luo & Li Qiu, 2017. "Controllability and Leader-Based Feedback for Tracking the Synchronization of a Linear-Switched Reluctance Machine Network," Energies, MDPI, vol. 10(11), pages 1-18, October.
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