Name
Title | ||
|---|---|---|
Design method of PID-type model predictive iterative learning control based on the two-dimensional generalized predictive control scheme |
Abstract | ||
|---|---|---|
For the repetitive, cyclic or batch processes, iterative learning control is essentially a two-dimensional feedback control. By transforming the iterative learning control into a two-dimensional generalized predictive control, a new model predictive iterative leaning control scheme is proposed in this paper for the repetitive, cyclic or batch processes with both time-wise and cycle-wise dynamics. As the proportional, integral and derivative of the prediction errors are considered in the cost function, the proposed ILC scheme can be referred to as a PID-type model predictive iterative learning control (PID-MPILC). Compared with the two-dimensional model predictive iterative learning control (2D-MPILC) proposed in the previous works, the proposed PID-MPILC can provide much better control performances not only along cycle but also along time, which is illustrated by the numerical simulation. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICARCV.2012.6485201 | ICARCV |
Keywords | Field | DocType |
iterative learning control (ilc),model predictive control (mpc),pid-mpilc,process control,time-wise dynamics,control system synthesis,learning systems,batch processing (industrial),repetitive processes,design method,two-dimensional (2d) systems,proportional-integral-derivative (pid) control,cyclic processes,feedback,adaptive control,cycle-wise dynamics,numerical simulation,2d generalized predictive control scheme,proportional-integral-and-derivative control,batch processes,pid-type model predictive iterative learning control,2d feedback control,cost function,three-term control,iterative methods,predictive control | Computer simulation,PID controller,Iterative method,Control theory,Computer science,Model predictive control,Control engineering,Process control,Artificial intelligence,Adaptive control,Iterative learning control,Robotics | Conference |
Volume | Issue | ISSN |
null | null | 2474-2953 |
ISBN | Citations | PageRank |
978-1-4673-1870-9 | 0 | 0.34 |
References | Authors | |
1 | 5 | |