A Fuzzy Model for an Automotive Engines-Development on a Production Vehicle. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 4, Volume 27, Issue 3, September 2002, Page 1-16 PDF (670.28 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2021.142692 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Alaa F. Sheta  1; Janos Gertler2
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| 1Computer Science Department., University of Louisiana at Lafayette., Lafayette., LA 70504 | ||||
| 2Electrical and Computer Engineering Department., George Mans University Firefax., VA 22030., USA | ||||
| Abstract | ||||
| In this paper, we developed a fuzzy model for an automotive engine. The fuzzy model was presented by a set of rules based on the Takagi-Sugeno type. The Gustafson-Kessel (GK) algorithm was applied to determine the antecedent membership functions and east square estimation was used to determine the consequence parameters. The performance of the fuzzy model was tested using a set of measurements recorded from a single production vehicle with a 3.1 I V-6 engine and a four speed automatic transmission. This data was collected earlier during a project implemented at George Mason University, USA. The developed fuzzy model was able to provide a good modeling capabilities. | ||||
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