An intelligent control design for non-linear MIMO processes

Author

Liu, Limin

Author_Institution

IT Sch., Huzhou Univ., Huzhou

fYear

2008

fDate

25-27 May 2008

Firstpage

400

Lastpage

404

Abstract

Intelligent control is more available for some MIMO systems, especially for some processes with uncertain mathematic algorithm. This paper focuses on the simplification of design and implementation for automation based on the technology of intelligent fuzzy control. As an example, an industrial process on ball mill to pulverize coal in a coal-fired power plant is described. For this process control, the intelligent control is more simplified, efficient and practical than traditional adjustment.

Keywords

MIMO systems; ball milling; coal; control system synthesis; fuzzy control; nonlinear control systems; process control; pulverised fuels; thermal power stations; uncertain systems; ball mill industrial process; coal pulverization; coal-fired power plant; intelligent fuzzy control design; nonlinear MIMO system; process control; uncertain mathematic algorithm; Control systems; Electrical equipment industry; Fuzzy control; Fuzzy systems; Industrial control; Intelligent control; MIMO; Mathematical model; Mathematics; Process control; MIMO systems; fuzzy systems; intelligent control; non-linear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions, 2008 Conference on

Conference_Location

Krakow

Print_ISBN

978-1-4244-1542-7

Electronic_ISBN

978-1-4244-1543-4

Type

conf

DOI

10.1109/HSI.2008.4581472

Filename

4581472