Distributed system loopshaping design of iterative control for batch processes

Author

Gorinevsky, Dimitry

Author_Institution

Honeywell Technol. Center, Cupertino, CA, USA

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

245

Abstract

Presents a systematic approach to analysis and design of iterative learning control (ILC). A rigorous ILC design method is developed based on detailed specifications for performance, robustness, controller non-fragility, and control amplitude constraints. The designed ILC update is implementable through non-causal convolution window operators. The controller is designed by solving a linear quadratic optimization problem and manipulating control penalty weights. This is related in spirit to the LQG/LTR design method for dynamic controllers

Keywords

batch processing (industrial); control system analysis; control system synthesis; learning systems; optimisation; process control; robust control; LQG/LTR design method; batch processes; control amplitude constraints; control penalty weights; controller nonfragility; distributed system; iterative learning control; loopshaping design; noncausal convolution window operators; robustness; Automatic control; Buffer storage; Control systems; Design methodology; Feedback; History; Iterative methods; Performance analysis; Process control; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1999. Proceedings of the 38th IEEE Conference on

ISSN

0191-2216

Print_ISBN

0-7803-5250-5

Type

conf

DOI

10.1109/CDC.1999.832783

Filename

832783