A New Kind of Nonlinear Model Predictive Iterative Learning Control

摘要：

A nonlinear model predictive controller based on iterative learning control (NMPILC) is proposed. The nonlinear plant dynamic is described by a fuzzy model which contains local liner models. Based on this model, model predictive control algorithm that utilizes past data along with real-time measurements is devised. This algorithm is developed to address the learning rate for a class of repetitive system with non-repetitive disturbances. The iterative learning control law is given. It is shown that the control performance of the proposed NMPILC can be greatly improved by using this on-linear model predictive iterative learning control algorithm.

关键词： Iterative Learning Control (ILC) Model Predictive Control (MPC) Fuzzy model

作者: Jinyi Wang Xiangjie Liu

作者单位: The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North C The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North C

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1434-1438

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）