Next Article in Journal
Biomass Chars: Elaboration, Characterization and Applications
Next Article in Special Issue
Complimentary Force Allocation Control for a Dual-Mover Linear Switched Reluctance Machine
Previous Article in Journal
Phase Equilibria of the CH4-CO2 Binary and the CH4-CO2-H2O Ternary Mixtures in the Presence of a CO2-Rich Liquid Phase
Previous Article in Special Issue
Neural Adaptive Sliding-Mode Control of a Vehicle Platoon Using Output Feedback
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Energies 2017, 10(12), 2019;

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

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
Authors to whom correspondence should be addressed.
Received: 12 October 2017 / Revised: 15 November 2017 / Accepted: 27 November 2017 / Published: 2 December 2017
(This article belongs to the Special Issue Networked and Distributed Control Systems)
PDF [2222 KB, uploaded 5 December 2017]


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. View Full-Text
Keywords: leader–follower–observer network; network controllability; IMC; linear machine leader–follower–observer network; network controllability; IMC; linear machine

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Zhang, B.; Yuan, J.; Pan, J.F.; Wu, X.; Luo, J.; Qiu, L. Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation. Energies 2017, 10, 2019.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top