Partially Decentralized Controller Design via Model Predictive Control

摘要：

An expansion procedure to design partially decentralized controllers via model predictive control is proposed in this paper. Partially decentralized control is a control structure that lies between a fully decentralized structure and a fully centralized one, and has the advantage of achieving comparable performance as a fully centralized controller but with simpler structure. The proposed method follows the expansion method proposed in a previous paper where internal model control (IMC) was used to design controllers for non-square subsystems. The method requires computing the pseudo-inverse of a non-square matrix via pseudo-inverse factors. Instead, the proposed method will use dynamic model control (DMC) to design PID controllers for non-square sub-systems without using additional factors. Simulation results show that the proposed method is simple and can achieve better performance than fully decentralized control.

关键词： Partially decentralized control Non-square system Model predictive control Internal model control

作者: HaoYuchun Li Qiang Tan Wen Li Donghai

作者单位: School of Control & Computer Engineering, North China Electric Power University, Beijing 102206, Chi State Key Lab of Power Systems, Dept. of Thermal Engineering, Tsinghua University, Beijing 100084, C

会议类型: 国内会议

会议名称: 第23届过程控制会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）