Distributed MPC for Tracking based on Reference Trajectories

摘要：

　　In this paper,we consider the control of large-scale processes with both input and state couplings.A distributed model predictive control(MPC)strategy for tracking based on the reference trajectories is presented.The proposed distributed MPC strategy requires decomposing a large-scale system into several smaller ones and solving convex optimization problems independently.Distributed MPC tracking strategies for unconstrained and constrained processes are presented,respectively.An iterative algorithm is presented to coordinate the distributed MPC controllers.The proposed algorithm is applied to a four-tank process to demonstrate the effectiveness.

关键词： distributed MPC tracking iterative algorithm reference trajectories

作者: Langwen Zhang Jingcheng Wang Zhengfeng Liu Kang Li

作者单位: Department of Automation,Shanghai Jiao Tong University,and Key Laboratory of System Control and Info School of Electronics,Electrical Engineering and Computer Science Queens University Belfast

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7778-7783

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）