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

Bo Zhang, Jianping Yuan, J. F. Pan, Xiaoyu Wu, Jianjun Luo and Li Qiu
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Bo Zhang: College of Mechatronics and Control Engineering, Shenzhen University, 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

Energies, 2017, vol. 10, issue 12, 1-19

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.

Keywords: leader–follower–observer network; network controllability; IMC; linear machine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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