Iterative learning control with Smith time delay compensator for batch processes

Author

Xu, Jian-Xin ; Lee, Tong Heng ; Xu, Jing ; Hu, Qiuping ; Yamamoto, Shighibo

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore

Volume

3

fYear

2001

fDate

2001

Firstpage

1972

Abstract

How to improve the control of batch processes is not an easy task because of modeling errors and time delays. In this work, iterative learning control (ILC) strategies, which can fully use previous batch control information and are attached to the existing control systems to improve tracking performance through repetition, are proposed for SISO processes which have uncertainties in modeling and time delays. The dynamics of the process are represented by transfer function plus pure time delay. The stability properties of the proposed strategies for batch processes in the presence of uncertainties in modeling and/or time. delays are analyzed in the frequency domain. Sufficient conditions guaranteeing convergence of tracking error are stated and proven. Simulation and experimental examples demonstrating these methods are presented

Keywords

batch processing (industrial); chemical technology; compensation; convergence; delays; learning systems; predictive control; process control; transfer functions; uncertain systems; SISO processes; Smith time delay compensator; batch processes; frequency domain; iterative learning control; modeling errors; stability properties; sufficient conditions; time delays; tracking error; uncertainties; Control system synthesis; Convergence; Delay effects; Error correction; Frequency domain analysis; Process control; Stability analysis; Sufficient conditions; Transfer functions; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2001. Proceedings of the 2001

Conference_Location

Arlington, VA

ISSN

0743-1619

Print_ISBN

0-7803-6495-3

Type

conf

DOI

10.1109/ACC.2001.946030

Filename

946030