秦攀

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副教授

硕士生导师

性别:男

毕业院校:日本国立九州大学

学位:博士

所在单位:控制科学与工程学院

学科:模式识别与智能系统

办公地点:创新园大厦 B713

联系方式:qp112cn@dlut.edu.cn

电子邮箱:qp112cn@dlut.edu.cn

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Robust synchronisation tracking control of networked Euler-Lagrange systems using reference trajectory estimation based on virtual double-integrators

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论文类型:期刊论文

发表时间:2016-07-03

发表刊物:INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

收录刊物:SCIE、EI

卷号:47

期号:9

页面范围:2088-2099

ISSN号:0020-7721

关键字:Euler-Lagrange systems; distributed control; synchronisation tracking; direct graph; high-gain observer; disturbance observer; sliding mode control

摘要:This paper considers the problem of distributed synchronisation tracking control of multiple Euler-Lagrange systems on a directed graph which contains a spanning tree with the leader node being the root. To design the high performance distributed controllers, a virtual double-integrator is introduced in each agent and is controlled by a virtual distributed linear high-gain synchronisation tracking controller, so that the position and velocity of each agent track those of the reference trajectory with arbitrarily short transient time and small ultimate tracking error. Then taking the double-integrator's position and velocity as the estimates of those of the reference trajectory, in each generalised coordinate of each Euler-Lagrange agent, a local controller with a disturbance observer and a sliding mode control term is designed, to suppress the mutual interactions among the agents and the modelling uncertainties. The boundedness of the overall signals and the synchronisation tracking control performance are analysed, and the conditions for guaranteed control performance are clarified. Simulation examples are provided to demonstrate the performance of the distributed controllers.