Intelligent design of predictive control for typical industrial processes

Author

Li, Junyi ; Xi, Yugeng

Author_Institution

Dept. of Automat. Control, Shanghai Jiao Tong Univ., China

fYear

1991

fDate

28 Oct-1 Nov 1991

Firstpage

2039

Abstract

An intelligent design scheme of predictive control for typical industrial processes is presented. First, the GDMC (generalized dynamic matrix control) algorithm is applied to a typical industrial process system, and three main performance indices of the controlled system are analyzed rigorously. The quantitative relationship between performance indices and design parameters is then aggregated. Based on this result, a comprehensive fuzzy design scheme is presented in accordance with the comprehension of system requirements and the redundancy of performance indices. A software package is developed to search for design parameters to achieve the most satisfactory performance indices. This intelligent design scheme can avoid human intervention or reversal trials and is especially convenient for industrial applications

Keywords

control system CAD; control system synthesis; fuzzy logic; performance index; predictive control; process control; control system CAD; fuzzy logic; generalized dynamic matrix control; industrial processes; intelligent design; performance indices; predictive control; redundancy; software package; Algorithm design and analysis; Control system analysis; Control systems; Electrical equipment industry; Fuzzy systems; Heuristic algorithms; Industrial control; Industrial relations; Performance analysis; Predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on

Conference_Location

Kobe

Print_ISBN

0-87942-688-8

Type

conf

DOI

10.1109/IECON.1991.239028

Filename

239028