Design of bang-bang controller based on a fuzzy-neuro approach

Author

Pang, Grantham K H ; Mesbah, Samy A.

Author_Institution

Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada

fYear

1996

Firstpage

1

Lastpage

6

Abstract

A fuzzy-neuro approach for the design of bang-bang controller is presented in this paper. The approach has been used with success for the time optimal bang-bang control of a heating system. The improved bang-bang controller suppresses the oscillations often observed at the output of an on-off controller. A fuzzy system is used for the implementation of the on-off control. An extension of the fuzzy control is provided by an equivalent neural network of the fuzzy system. A test application, that of a house heating with a two-state furnace, is developed and evaluated with standard hysteresis switching, fuzzy control, and fuzzy-neuro control

Keywords

bang-bang control; control system synthesis; fuzzy control; fuzzy neural nets; heating; neurocontrollers; on-off control; temperature control; bang-bang controller; fuzzy control; fuzzy system; fuzzy-neural networks; house heating system; on-off control; oscillation suppression; time optimal control; two-state furnace; Bang-bang control; Control systems; Furnaces; Fuzzy control; Fuzzy systems; Heating; Hysteresis; Neural networks; Standards development; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on

Conference_Location

Dearborn, MI

Print_ISBN

0-7803-3032-3

Type

conf

DOI

10.1109/CACSD.1996.555188

Filename

555188