A robust adaptive controller using fuzzy logic approach

Author

Renganathan, S. ; Johnson, J. Stanly

Author_Institution

Sch. of Instrum. & Electron., MIT, Madras, India

fYear

1995

fDate

5-7Jan 1995

Firstpage

95

Lastpage

99

Abstract

This paper deals with the synthesis of a robust adaptive controller considering the nonlinearities of SISO system. Processes such as blast furnace, cement kiln, digesters etc. are nonlinear and their order of mathematical model is not known. These processes are nonlinear to the extent that they can be controlled only by expert human operator. A fuzzy interface is introduced in this paper to model such a process into piecewise linear system online. This model is identified and is used by an adaptive pole placement controller to make the system robust. Simulation results are shown for verification

Keywords

adaptive control; control system synthesis; fuzzy control; nonlinear control systems; piecewise-linear techniques; pole assignment; robust control; SISO system nonlinearities; adaptive pole placement controller; blast furnace; cement kiln; digesters; fuzzy interface; fuzzy logic approach; piecewise linear system; robust adaptive controller synthesis; Adaptive control; Blast furnaces; Control nonlinearities; Control system synthesis; Fuzzy logic; Kilns; Mathematical model; Nonlinear control systems; Programmable control; Robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Automation and Control, 1995 (I A & C'95), IEEE/IAS International Conference on (Cat. No.95TH8005)

Conference_Location

Hyderabad

Print_ISBN

0-7803-2081-6

Type

conf

DOI

10.1109/IACC.1995.465861

Filename

465861