Feedback-assisted Iterative Learning Control Based on a Nonlinear Fuzzy Model
As a feedforward control strategy,iterative learning control(ILC)is used to track a pre-defined reference and reject repetitive disturbances iteratively,but it is incapable of compensating for non-repetitive disturbances.Thus,ILC is often combined with a well-designed feedback controller.Considering nonlinear process,this paper presents an integrated ILC and on-line model predictive(MPC)strategy for wide range-operation,which base on a fuzzy model.In the overall control law,the feedforward ILC contributes the majority of the control signal,while the feedback MPC is meant to be supplementary to regulate the control signal and reject disturbances.The performance of the feedback-assisted ILC is illustrated by a steam-boiler system.
Feedforward-feedback control iterative learning control model predictive control fuzzy model
Ke Xi Xiangjie Liu
School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China
国际会议
长沙
英文
1053-1057
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）