Leader–following consensus for multi‐agent systems subject to actuator saturation with switching topologies and time‐varying delays

You, Xiu; Chen, Hua; Peng, Dan; Guan, Xinping

doi:10.1049/iet-cta.2015.0024

Cited by 43 publications

(34 citation statements)

References 30 publications

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“…Graph theory: The topology of multiagent system is usually represented by a directed graph G = ( V , ε ). For the directed graph, it is composed of a set of nodes and a set of edges: ε ⊂ V × V , ( V = {1, 2⋯, n }).…”

Section: Cyber‐physical Cooperative Control Structurementioning

confidence: 99%

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Cyber-physical cooperative control strategy for islanded micro-grid considering communication interruption

Dou

Zhang

Yue

et al. 2018

Int Trans Electr Energ Syst

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Summary In this paper, a cyber‐physical cooperative control strategy considering communication interruption is proposed to improve the control effect on output voltages and frequency obtained by droop control of distributed energy resources (DERs). The control structure consists of the physical and cyber layers. And in the two layers, the interruption occurs mostly in sensors and data aggregators. To solve the problem of interruption among data aggregators, a path‐planning method combined with improved Dijkstra algorithm (IDA) and improved genetic algorithm (IGA) is proposed in the cyber layer. To solve the problem of interruption among sensors, a predictive compensation method combined with extreme learning machine (ELM) and model predictive control (MPC) is proposed in the physical layer. Meanwhile, so as to improve the control effect of DERs, a virtual leader‐following consensus control (VLFCC) method combined with double sliding mode control (SMC) is first proposed in cyber layer and then applied to the physical layer to accomplish the secondary control on DERs. Finally, the simulation results show that under the condition of communication interruption, the output voltage and frequency of each DER can be adjusted to their respective reference values through the proposed cooperative control strategy.

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Section: Cyber‐physical Cooperative Control Structurementioning

confidence: 99%

“…Consensus control theory: Assume there are some agents, marked as agent1, agent2, ⋯, agentn, in a network. The state of the i th agent is marked as x i ( i = 1, 2, ⋯, n ).…”

Section: Cyber‐physical Cooperative Control Structurementioning

confidence: 99%

Cyber-physical cooperative control strategy for islanded micro-grid considering communication interruption

Dou

Zhang

Yue

et al. 2018

Int Trans Electr Energ Syst

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“…The function of the sliding mode controller is to make the controlled object reach the sliding mode surface and make it stable along the sliding mode surface. Once the controlled object reaches the sliding mode surface, the controlled system will no longer be affected by the external disturbance [26], so the appropriate sliding mode controller is used in this paper to eliminate the disturbance.…”

Section: Construct the Circuit Model Of Connected Distributed Energy mentioning

confidence: 99%

A Novel Hierarchical Control Strategy for Low-Voltage Islanded Microgrids Based on the Concept of Cyber Physical System

et al. 2018

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Based on the concept of cyber physical system (CPS), a novel hierarchical control strategy for islanded microgrids is proposed in this paper. The control structure consists of physical and cyber layers. It’s used to improve the control effect on the output voltages and frequency by droop control of distributed energy resources (DERs), share the reactive power among DERs more reasonably and solve the problem of circumfluence in microgrids. The specific designs are as follows: to improve the control effect on voltages and frequency of DERs, an event-trigger mechanism is designed in the physical layer. When the trigger conditions in the mechanism aren’t met, only the droop control (i.e., primary control) is used in the controlled system. Otherwise, a virtual leader-following consensus control method is used in the cyber layer to accomplish the secondary control on DERs; to share the reactive power reasonably, a method of double virtual impedance is designed in the physical layer to adjust the output reactive power of DERs; to suppress circumfluence, a method combined with consensus control without leader and sliding mode control (SMC) is used in the cyber layer. Finally, the effectiveness of the proposed hierarchical control strategy is confirmed by simulation results.

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“…Feasibility of LMIS in Eqns. (19) to (22) determine the consensus reachability of the multi-agent system affected by time-delays. They can be solved by using solvers like SeDuMi [27], Matlab LMI Lab solver etc..…”

Section: Lyapunov-krasovskii Approachmentioning

confidence: 99%

Consensus of second‐order multi‐agents with actuator saturation and asynchronous time‐delays

Yanumula

Kar

Majhi

2017

IET Control Theory & Applications

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This article presents the consensus of a saturated second order multi-agent system with non-switching dynamics that can be represented by a directed graph. The system is affected by data processing (input delay) and communication time-delays that are assumed to be asynchronous. The agents have saturation nonlinearities, each of them is approximated into separate linear and nonlinear elements. Nonlinear elements are represented by describing functions. Describing functions and stability of linear elements are used to estimate the existence of limit cycles in the system with multiple control laws. Stability analysis of the linear element is performed using Lyapunov-Krasovskii functions and frequency domain analysis. A comparison of pros and cons of both the analyses with respect to time-delay ranges, applicability and computation complexity is presented. Simulation and corresponding hardware implementation results are demonstrated to support theoretical results.

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Leader–following consensus for multi‐agent systems subject to actuator saturation with switching topologies and time‐varying delays

Cited by 43 publications

References 30 publications

Cyber-physical cooperative control strategy for islanded micro-grid considering communication interruption

Cyber-physical cooperative control strategy for islanded micro-grid considering communication interruption

A Novel Hierarchical Control Strategy for Low-Voltage Islanded Microgrids Based on the Concept of Cyber Physical System

Consensus of second‐order multi‐agents with actuator saturation and asynchronous time‐delays

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