Controllability and Leader-Based Feedback for Tracking the Synchronization of a Linear-Switched Reluctance Machine Network

Bo Zhang, Jianping Yuan, Jianfei 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
Jianfei 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 11, 1-18

Abstract: This paper investigates the controllability of a closed-loop tracking synchronization network based on multiple linear-switched reluctance machines (LSRMs). The LSRM network is constructed from a global closed-loop manner, and the closed loop only replies to the input and output information from the leader node. Then, each local LSRM node is modeled as a general second-order system, and the model parameters are derived by the online system identification method based on the least square method. Next, to guarantee the LSRM network’s controllability condition, a theorem is deduced that clarifies the relationship among the LSRM network’s controllability, the graph controllability of the network and the controllability of the node dynamics. A state feedback control strategy with the state observer located on the leader is then proposed to improve the tracking performance of the LSRM network. Last, both the simulation and experiment results prove the effectiveness of the network controller design scheme and the results also verify that the leader-based global feedback strategy not only improves the tracking performance but also enhances the synchronization accuracy of the LSRM network experimentally.

Keywords: linear switched reluctance machine; network controllability; state observer; tracking synchronization (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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