Distributed Consensus Control for Automatic Gauge Control of Hot Strip Mills

被引：0
作者：
Xiao-Dong Zhang
Shao-Shu Gao
Wei-Xi Gao
Xu-Ying Wang
Wei Zhang
机构：
[1] China University of Petroleum,College of Computer Science and Technology
[2] Institute of magnetic levitation and electromagnetic propulsion of China aerospace science and industry corporation limited,undefined
来源：
International Journal of Control, Automation and Systems | 2021年 / 19卷
关键词：
Automatic gauge control; distributed control; multi-agent; subspace identification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this study, the distributed control strategy is proposed for the automatic gauge control(AGC) system, which is a typical multi-agent system. The distributed control protocol is developed with the subspace identification method using the measurements of the local agent and its neighbors directly, without any knowledge of the AGC system dynamics. The stability analysis of the multi-agent system with the proposed control protocol is given. In addition, the consensus control protocol with communication time delay is investigated. Finally, simulation results are carried out to verify the feasibility and effectiveness of the proposed control strategy.
引用
收藏
页码：1882 / 1889
页数：7
相关论文
共 120 条
[1]  
Li H(2016)Distributed receding horizon control of constrained nonlinear vehicle formations with guaranteed r-gain stability Automatica 68 148-154
[2]  
Shi Y(2013)Distributed cohesive motion control of flight vehicle formations IEEE Transaction on Industrial Electronics 60 5763-5772
[3]  
Yana W(2017)Time-varying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying IEEE Transaction on Industrial Electronics 64 5014-5024
[4]  
Bayezit I(2016)Distributed finite-time velocity-free attitude coordination control for spacecraft formations Automatica 67 46-53
[5]  
Fidan B(2012)Control design and implementation for high performance shunt active filters in aircraft power grids IEEE Transaction on Industrial Electronics 59 3604-3613
[6]  
Dong X(2013)Coordinated iterative learning control schemes for train trajectory tracking with over speed protection IEEE Transactions on Automation Scicence and Engineering 10 323-333
[7]  
Zhou Y(2014)Distributed optimal control for multi-agent trajectory optimization Automatica 50 149-154
[8]  
Ren Z(2011)A general alignment repulsion algorithm for flocking of multi-agent systems IEEE Transactions on Automatic Control. 56 430-435
[9]  
Zhong Y(2014)Leader-following consensus of multiagent systems under directed communication topology via distributed adaptive nonlinear protocol Systems & Control Letters 70 23-29
[10]  
Zou A-M(2010)Multi-vehicle coordination for double integrator dynamics under fixed undirected /directed interaction in a sampled data setting International Journal of Robust and Nonlinear Control 20 987-999
12345678910