A Comparison of Mandani and Sugeno Inference Systems for a Space Fault Detection Application

Author

Jassbi, J.J. ; Serra, Paulo J A ; Ribeiro, Rita A. ; Donati, Alessandro

Author_Institution

Azad Univ., Tehran

fYear

2006

fDate

24-26 July 2006

Firstpage

1

Lastpage

8

Abstract

This research provides a comparison between the performances of TSK (Takagi, Sugeno, Kang)-type versus Mandani-type fuzzy inference systems. The main motivation behind this research was to assess which approach provides the best performance for a gyroscope fault-detection application, developed in 2002 for the European Space Agency (ESA) satellite ENVISAT. Due to the importance of performance in online systems we compare the application, developed with Mamdani model, with a TSK formulation using three types of tests: processing time for both systems, robustness in the presence of randomly generated noise; and sensitivity analysis of the systems´ behaviors to changes in input data. The results show that the TSK model perform better in all three tests, hence we may conclude that replacing a Mamdani system with an equivalent TSK system could be a good option to improve the overall performance of a fuzzy inference system.

Keywords

aerospace computing; aerospace safety; artificial satellites; fault diagnosis; fuzzy reasoning; gyroscopes; sensitivity analysis; ENVISAT satellite; Mandani-type fuzzy inference system; Takagi-Sugeno-Kang inference system; gyroscope fault-detection application; online system; sensitivity analysis; space fault detection application; Fault detection; Fuzzy systems; Gyroscopes; MIMO; Monitoring; Noise robustness; Performance evaluation; Satellites; Sensitivity analysis; System testing; Fault detection; Fuzzy Inference Systems; Sensitivity analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation Congress, 2006. WAC '06. World

Conference_Location

Budapest

Print_ISBN

1-889335-33-9

Type

conf

DOI

10.1109/WAC.2006.376033

Filename

4259949