Multiple Models Switching Method Based on Sugeno Fuzzy Inference

Author

Tang, Niang ; Sun, Yi-hui ; Chen, Zhong

Author_Institution

Changsha Univ. of Sci. & Technol., Changsha

Volume

3

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

1283

Lastpage

1287

Abstract

The switching process of multi-models is apt to arouse the dither at the moment of switching. In order to smooth the transition process, a control models switching method based on Sugeon fuzzy inference is proposed. By comparing the performances of SVC controller with Nonlinear Norm Transformation PID (NNTPID) and normal PID, it shows that this method can reduce the dither effectively and smooth the switching transient process.

Keywords

fuzzy control; fuzzy reasoning; nonlinear control systems; static VAr compensators; switching convertors; three-term control; voltage regulators; SVC controller; SVC voltage regulator; Sugeno fuzzy inference; multiple control model switching method; nonlinear norm transformation PID control; static Var compensator; switching transient process; Control systems; Cybernetics; Fuzzy control; Machine learning; Nonlinear control systems; Power system modeling; Process control; Static VAr compensators; Surges; Three-term control; Multi-models; Nonlinear transform PID; Surgeon fuzzy inference;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370342

Filename

4370342