Abstract
The looper tension control system of hot strip mills is a typical multi-agent system, and the coupling effects among the agents are strong. However,it is difficult for us to establish the accurate coupling model for the looper tension control system. In this study, a distributed control strategy is proposed for the looper tension control system. With the subspace identification method, the local measurement of the looper control system and the information of its neighbors are used directly to develop the consensus control protocol without any knowledge of the looper tension system dynamics. The sufficient conditions for the consensus of multi-agent system with the proposed control protocol are proposed. In addition, a consensus control protocol with communication time delay is presented. Finally simulations are performed to verify the effectiveness of the control strategy.
Highlights
Over the past decade, cooperative control of multi-agent system has attracted an extensive attention, due to its broad applications in practice such as sensor networks [1], airspace crafts [2], formation control of mobile robots [3], and electric power systems [4]
Cooperative control of multi-agent system leads to a consensus problem [5], [6], within this framework, many modelling approaches have been exploited for the mathematical description of the dynamic of multi-agent system such as single integrator system, double integrator system and high-order system [7], [8]
Agents share the information through a network, and consensus problem is considered for dynamic agents with fixed, switching topologies [9]–[11] or undirected interaction [12]
Summary
Cooperative control of multi-agent system has attracted an extensive attention, due to its broad applications in practice such as sensor networks [1], airspace crafts [2], formation control of mobile robots [3], and electric power systems [4]. The nonlinear time-delay systems over sensor networks subject to switching topology are proposed in [16] These existing model-based control schemes are usually too complex to applied to practice and obtained good results due to structure uncertainty and modeling error. Zhang et al.: Consensus Control for Looper Tension Control System Using Subspace Identification Method proposed a variety of control schemes for these control problem [23]–[28] such as sliding mode variable structure control, model predictive control and multi-variable decoupling control. Motivated by the above observations, we consider data driven consensus control strategy using subspace identification method for looper tension control system.
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