Title :
Design of model predictive controller based on iterative learning control
Author :
Du, Wenyan ; Feng, Wei ; Liu, Xiangjie
Author_Institution :
Dept. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
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.
Keywords :
adaptive control; control system synthesis; iterative methods; learning systems; position control; predictive control; time-varying systems; iterative learning control; nonrepetitive disturbances; predictive controller design; real-time control; real-time measurements; repetitive system; temporal state space form; time indices; time-varying linear repetitive system; trajectory tracking; Equations; Indexes; Mathematical model; Prediction algorithms; Predictive control; Predictive models; Trajectory; Iterative Learning Control (ILC); Model Predictive Control (MPC); Repetitive System; Temporal Model;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968967
