Design of Model Predictive Controller Based on Iterative Learning Control

摘要：

A model predictive controller based on iterative learning control is proposed. This algorithm which combines real-time control with iterative learning control is developed to address the trajectory tracking for a class of repetitive system with non-repetitive disturbances. First, a generic model which describes the state transition of a time-varying linear repetitive system along batch indices as well as time indices is derived in a temporal state space form. Based on this model, predictive control algorithm that utilizes past data along with real-time measurements is devised. Then iterative learning control law is given. It is shown that, by using this algorithm, perfect tracking can be achieved as the number of iteration grows.

关键词： Repetitive System Iterative Learning Control (ILC) Model Predictive Control (MPC) Temporal Model

作者: Wenyan Du Wei Feng Xiangjie Liu

作者单位: with the Department of Control and computer engineer,North China Electric Power University,Beijing,1 with China Nuclear Control System Engineering Co.,Ltd,Beijing,100176,P.R.China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 4230-4234

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）