A Modified Design Framework for Nonlinear Model Predictive Iterative Learning Control

摘要：

　　As advanced control strategies,both iterative learning control(ILC)and model predictive control(MPC)are widely used in industrial process.Because ILC cannot eliminate the non-repetitive disturbances,ILC and MPC are integrated as model predictive iterative learning control(MPILC)to improve the capability of rejecting disturbances.Although the typical MPILC has a good tracking performance,there is also left some aspects to be developed.Based on a fuzzy model,a modified nonlinear model predictive iterative learning control(NMPILC)is proposed to achieve a better tracking performance and speed up the learning rate.The performance of the modified NMPILC is illustrated by a PH neutralization process.

关键词： Iterative learning control model predictive control nonlinear system

作者: Ke Xi Xiangjie Liu

作者单位: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China

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: 7752-7757

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）