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A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (31 March 2018) | Viewed by 25071

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Special Issue Editors

Prof. Dr. Yang Shi

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Guest Editor

Department of Mechanical Engineering, University of Victoria, PO Box 1700, Stn. CSC, Victoria, BC, Canada
Interests: networked and distributed control systems; MPC and distributed MPC; distributed optimization; multirate control, identification, and information processing; mechatronics; industrial cyber-physical systems; optimization and controls for energy-efficient applications; navigation and control of autonomous vehicles

Prof. Dr. Fang Fang

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Guest Editor

School of Control and Computer Engineering, North China Electric Power University, Beinong Road No.2, Changping District, Beijing, China
Interests: distributed process control systems; modeling and control of distributed generation systems; optimal configuration and operation of combined cooling, heat, and power systems; energy management of smart buildings; load and power forecasting of community energy systems; industrial applications of advanced control strategies

Dr. Li Qiu

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Guest Editor

College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
Interests: networked control systems; linear motion control system; distributed control systems; time-delay systems; robust control; Markovian jump linear systems

Special Issue Information

Dear Colleagues,

With the rapid advancement of computing and networking technologies, traditional control systems face the challenge of more complicated and large-size systems. In order to achieve stabilization, optimization and consensus objective, networked distributed control systems (NDCS) are expected to be further investigated theoretically and in applications. NDCS can be applied to unmanned aerial vehicles; space-based interferometers; remote surgery; surveillance; combat, and reconnaissance systems; hazardous material handling; distributed reconfigurable sensor networks; automated highway systems; haptic collaboration over the internet and biology and animal behavior, etc. Yet, since NDCS inherently possess features such as network-induced constraints, cyber security issues, large-scale size, distributed manner, etc., it becomes more challenging for control engineers to design such systems to ensure stability, satisfy the pre-scribed performance specifications and overcome various disturbances, and so on.

The Special Issue is dedicated to reflecting the latest progress and key technologies in NDCS, focusing on their modeling, analysis, control, simulation, experimentation and applications, etc.

The topics of interests include, but are not limited to:

Modeling and stability analysis of NDCS
Reliability, security and risk analysis of NDCS
Control methods and strategies of NDCS
Testbed, simulation and verification models and methods for NDCS
System architecture of NDCS
Industrial application of NDCS

Prof. Yang Shi
Prof. Fang Fang
Assoc. Prof. Li Qiu
Guest Editors

Manuscript Submission Information

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Keywords

modeling and stability analysis of NDCS
reliability, security and risk analysis of NDCS
control methods and strategies of NDCS
distributed generations and energy management
testbed, simulation and verification models and methods for NDCS
system architecture of NDCS
Industrial application of NDCS

Published Papers (7 papers)

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Research

6164 KiB

Open AccessFeature PaperArticle

Complimentary Force Allocation Control for a Dual-Mover Linear Switched Reluctance Machine

by J. F. Pan, Weiyu Wang, Bo Zhang, Eric Cheng, Jianping Yuan, Li Qiu and Xiaoyu Wu

Energies 2018, 11(1), 23; https://doi.org/10.3390/en11010023 - 22 Dec 2017

Cited by 7 | Viewed by 2710

Abstract

This paper inspects the complementary force allocation control schemes for an integrated, dual-mover linear switched reluctance machine (LSRM). The performance of the total force is realized by the coordination of the two movers. First, the structure and characteristics of the LSRM are investigated. Then, a complimentary force allocation control scheme for the two movers is proposed. Next, three force allocation methods—constant proportion, constant proportion with a saturation interval and error compensation, and the variable proportion allocation strategies—are proposed and analyzed, respectively. Experimental results demonstrate that the complimentary force interaction between the two movers can effectively reduce the total amount of force ripples from each method. The results under the variable proportion method also show that dynamic error values falling into 0.044 mm and −0.04 mm under the unit ramp force reference can be achieved. With the sinusoidal force reference with an amplitude of 60 N and a frequency of 0.5 Hz, a dynamic force control precision of 0.062 N and 0.091 N can also be obtained. Full article

(This article belongs to the Special Issue Networked and Distributed Control Systems)

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2222 KiB

Open AccessArticle

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

by Bo Zhang, Jianping Yuan, J. F. Pan, Xiaoyu Wu, Jianjun Luo and Li Qiu

Energies 2017, 10(12), 2019; https://doi.org/10.3390/en10122019 - 02 Dec 2017

Viewed by 2933

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. Full article

(This article belongs to the Special Issue Networked and Distributed Control Systems)

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4113 KiB

Open AccessArticle

Neural Adaptive Sliding-Mode Control of a Vehicle Platoon Using Output Feedback

by Maode Yan, Jiacheng Song, Lei Zuo and Panpan Yang

Energies 2017, 10(11), 1906; https://doi.org/10.3390/en10111906 - 20 Nov 2017

Cited by 25 | Viewed by 4068

Abstract

This paper investigates the output feedback control problem of a vehicle platoon with a constant time headway (CTH) policy, where each vehicle can communicate with its consecutive vehicles. Firstly, based on the integrated-sliding-mode (ISM) technique, a neural adaptive sliding-mode control algorithm is developed to ensure that the vehicle platoon is moving with the CTH policy and full state measurement. Then, to further decrease the measurement complexity and reduce the communication load, an output feedback control protocol is proposed with only position information, in which a higher order sliding-mode observer is designed to estimate the other required information (velocities and accelerations). In order to avoid collisions among the vehicles, the string stability of the whole vehicle platoon is proven through the stability theorem. Finally, numerical simulation results are provided to verify its effectiveness and advantages over the traditional sliding-mode control method in vehicle platoons. Full article

(This article belongs to the Special Issue Networked and Distributed Control Systems)

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2498 KiB

Open AccessArticle

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

by Bo Zhang, Jianping Yuan, Jianfei Pan, Xiaoyu Wu, Jianjun Luo and Li Qiu

Energies 2017, 10(11), 1728; https://doi.org/10.3390/en10111728 - 27 Oct 2017

Cited by 2 | Viewed by 2798

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. Full article

(This article belongs to the Special Issue Networked and Distributed Control Systems)

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9636 KiB

Open AccessArticle

A Novel Algorithm for Establishing a Balanced Synchronization Hierarchy with Spare Masters (BSHSM) for the IEEE 1588 Precision Time Protocol

by Nguyen Xuan Tien and Jong Myung Rhee

Energies 2017, 10(10), 1469; https://doi.org/10.3390/en10101469 - 22 Sep 2017

Cited by 2 | Viewed by 4511

Abstract

The best master clock (BMC) algorithm is currently used to establish the master-slave hierarchy for the IEEE 1588 Precision Time Protocol (PTP). However, the BMC algorithm may create an unbalanced hierarchy that contains several boundary clocks with a large number of slaves in comparison to other clocks. The unbalanced hierarchy can cause problems, such as high communication load and high bandwidth consumption in boundary clocks. Additionally, the BMC algorithm does not provide any fast recovery mechanism in the case of a master failure. In this paper, we propose a novel balanced synchronization hierarchy with spare masters (BSHSM) algorithm to establish a balanced master-slave hierarchy and to provide a fast recovery mechanism in the case of master failures for the PTP. The BSHSM algorithm establishes the master-slave hierarchy with boundary clocks that have a balanced number of slaves. In doing so, it solves the problems caused by the unbalanced master-slave hierarchy. Additionally, the BSHSM algorithm provides a fast recovery mechanism by selecting a spare master for each boundary clock; this allows a boundary clock to immediately select a new master clock when its current master has failed or is disconnected. The fast recovery mechanism reduces the period of running freely and clock drift in clocks, improving the synchronization quality of the PTP. Various simulations were conducted using the network simulation OMNeT++ v4.6 to analyze, evaluate, and compare the performance of the BSHSM and BMC algorithms. The simulation results show that the synchronization hierarchy of the BSHSM algorithm is much more balanced than the BMC algorithm, and it also has a shorter period of recovery. Full article

(This article belongs to the Special Issue Networked and Distributed Control Systems)

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2202 KiB

Open AccessArticle

Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines

by Bo Zhang, Jianping Yuan, Jianjun Luo, Xiaoyu Wu, Li Qiu and J.F. Pan

Energies 2017, 10(9), 1426; https://doi.org/10.3390/en10091426 - 16 Sep 2017

Cited by 4 | Viewed by 3753

Abstract

This paper investigates a distributed, coordinated motion control network based on multiple direct-drive, linear switched reluctance machines (LSRMs). A hierarchical, two-level synchronization control strategy is proposed for the four LSRMs based motion control network. The high-level, reference signals agreement algorithm is first employed to correct the asynchronous behaviors of the position commands. Then, the low-level tracking synchronization method is applied for the collaborative position control of the four LSRMs. The proposed two-level, fault-tolerant control strategy eliminates the asynchrony of the reference signals and it also guarantees the coordinated tracking control performance of the four LSRMs. Experimental results demonstrate that effective coordinated tracking control can be ensured, based on the successful agreement of reference signals and an absolute tracking error falling within 2 mm can be achieved. Full article

(This article belongs to the Special Issue Networked and Distributed Control Systems)

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1241 KiB

Open AccessArticle

Tracking Control with Zero Phase-Difference for Linear Switched Reluctance Machines Network

by Bo Zhang, J.F. Pan, Jianping Yuan, Wufeng Rao, Li Qiu, Jianjun Luo and Honghua Dai

Energies 2017, 10(7), 949; https://doi.org/10.3390/en10070949 - 08 Jul 2017

Cited by 4 | Viewed by 3454

Abstract

This paper discusses the control of the linear switched reluctance machines (LSRMs) network for the zero phase-difference tracking to a sinusoidal reference. The dynamics of each LSRM is derived by online system identification and modeled as a second-order linear system. Accordingly, based on the coupled harmonic oscillators synchronization manner, a distributed control strategy is proposed to synchronize each LSRM state to a virtual LSRM node representing the external sinusoidal reference for tracking it with zero phase-difference. Subsequently, a simulation scenario and an experimental platform with the identical parameter setup are designed to investigate the tracking performance of the LSRMs network constructed by the proposed distributed control strategy. Finally, the simulation and experimental results verify the effectiveness of the proposed LSRMs network controller, and also prove that the coupled harmonic oscillators synchronization method can improve the synchronization tracking performance and precision. Full article

(This article belongs to the Special Issue Networked and Distributed Control Systems)

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