Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation
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 ut...
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doaj-7f5c8c5e9fe74ca89d2025cbfc0a268f2020-11-25T00:17:04ZengMDPI AGEnergies1996-10732017-12-011012201910.3390/en10122019en10122019Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model CompensationBo Zhang0Jianping Yuan1J. F. Pan2Xiaoyu Wu3Jianjun Luo4Li Qiu5College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaLaboratory of Advanced Unmanned Systems Technology, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaLaboratory of Advanced Unmanned Systems Technology, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaThis 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.https://www.mdpi.com/1996-1073/10/12/2019leader–follower–observer networknetwork controllabilityIMClinear machine |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bo Zhang Jianping Yuan J. F. Pan Xiaoyu Wu Jianjun Luo Li Qiu |
spellingShingle |
Bo Zhang Jianping Yuan J. F. Pan Xiaoyu Wu Jianjun Luo Li Qiu Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation Energies leader–follower–observer network network controllability IMC linear machine |
author_facet |
Bo Zhang Jianping Yuan J. F. Pan Xiaoyu Wu Jianjun Luo Li Qiu |
author_sort |
Bo Zhang |
title |
Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation |
title_short |
Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation |
title_full |
Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation |
title_fullStr |
Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation |
title_full_unstemmed |
Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation |
title_sort |
global feedback control for coordinated linear switched reluctance machines network with full-state observation and internal model compensation |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2017-12-01 |
description |
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. |
topic |
leader–follower–observer network network controllability IMC linear machine |
url |
https://www.mdpi.com/1996-1073/10/12/2019 |
work_keys_str_mv |
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