Constrained Distributed Model Predictive Control Strategy Based on Agent Coordination

摘要：

In this paper, a distributed model predictive control (DMPC) strategy is proposed based on agent coordination, in which subsystems couple through the inputs. At first, the initial feasible solution of each agent can be achieved by solving local optimization problems in which the state constraints of neighbor subsystems are considered at each sampling time. And then the global optimal solution can be obtained through agent coordination. In the negotiating process, the innovative global optimization objective is determined for the sake of reducing iteration time and improving the convergence speed efficiently. Finally, the accuracy and efficiency of the proposed scheme is put to test through simulation.

关键词： Distributed model predictive control agent coordination

作者: YANG Danxuan WANG Mengling SHI Hongbo

作者单位: Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education,

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 4152-4155

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）