The fusion of computationally intelligent methodologies and sliding-mode control-a survey

Author

Kaynak, Okyay ; Erbatur, Kemalettin ; Ertugnrl, M.

Author_Institution

Fac. of Eng., Bogazici Univ., Istanbul, Turkey

Volume

48

Issue

1

fYear

2001

fDate

2/1/2001 12:00:00 AM

Firstpage

4

Lastpage

17

Abstract

This paper surveys how some “intelligence” can be incorporated in sliding-mode controllers (SMCs) by the use of computational intelligence methodologies in order to alleviate the well-known problems met in practical implementations of SMCs. The use of variable-structure system theory in design and stability analysis of fuzzy controllers is also discussed by drawing parallels between fuzzy control and SMCs. An overview of the research and applications reported in the literature in this respect is presented

Keywords

artificial intelligence; fuzzy control; intelligent control; stability; variable structure systems; computationally intelligent methodologies; fuzzy controllers; sliding-mode control; sliding-mode controllers; soft computing; stability analysis; variable-structure system theory; Competitive intelligence; Computational intelligence; Control systems; Fuzzy control; Motion control; Pulse width modulation; Robots; Sliding mode control; Torque control; Voltage control;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.904539

Filename

904539