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Model reference self-learning fuzzy control method for automated mechanical clutch.
- Source :
-
International Journal of Advanced Manufacturing Technology . Feb2018, Vol. 94 Issue 9-12, p3163-3172. 10p. 6 Diagrams, 4 Charts, 7 Graphs. - Publication Year :
- 2018
-
Abstract
- Automated mechanical clutch is a critical component in vehicle powertrain, whose operations have great influence on fuel economy, comfort, and drivability. However, the control of clutch is a challenging problem due to the nonlinearities and uncertainties, which has attracted extensive attention. This paper proposed a model reference self-learning fuzzy controlmethod with considering clutch wear. Fuzzy control is a simple but effective method to deal with the nonlinear system, but the determined fuzzy rules cannot be suitable for system variations due to clutch wear. Therefore, a self-learning algorithm based on referent model is introduced into fuzzy controller. Then, simulations are carried out in MATLAB/ SIMULINK, and the results show that the method solves the problem of clutch wear effectively compared with the fuzzy control without self-learning ability. Finally, a test bench is designed and experiments are carried out to verify the validity of the proposed method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02683768
- Volume :
- 94
- Issue :
- 9-12
- Database :
- Academic Search Index
- Journal :
- International Journal of Advanced Manufacturing Technology
- Publication Type :
- Academic Journal
- Accession number :
- 128138463
- Full Text :
- https://doi.org/10.1007/s00170-016-9308-7