This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
An Idle Speed Controller using Analytically Developed Fuzzy Logic Control Law
Technical Paper
2002-01-0138
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Fuzzy control is based on either expert knowledge or experimental data and, therefore, it possesses intrinsic qualities like robustness and ease of implementation. The mathematical modeling for fuzzy control systems has been attempted, but until now many models that have been developed do not extend beyond the application for which they were developed. A general class of fuzzy linguistic control algorithms that can be formulated analytically and can capture the nonlinear aspect of a given fuzzy control scheme has been formulated using interpolating functions. The interpolating functions map the process error and its rate or it's a cumulative sum into control action. The systematic approach makes it more desirable to be used in the control of nonlinear dynamics systems. The analytical method developed in previous wok conducted by Langari (1992) and modified by the authors is employed in this practical example to design a controller for an idle speed control system. This study aims to show that the analytically developed fuzzy control law can be used in practical application such as the idle speed control problem provided that certain modifications and assumptions are taken into consideration in the derivation and the application of the control law.
The following sections present a discussion of the control law, in addition to the design process and the simulation results of the idle speed control system.
Authors
- S. Ganesan - School of Engineering and Computer Science, Oakland University
- Pat Dessert - School of Engineering and Computer Science, Oakland University
- R. P. Sharma - Mechanical Engineering Department, Western Michigan University
- S. Yasin - Mechanical Engineering Department, Western Michigan University
Citation
Ganesan, S., Dessert, P., Sharma, R., and Yasin, S., "An Idle Speed Controller using Analytically Developed Fuzzy Logic Control Law," SAE Technical Paper 2002-01-0138, 2002, https://doi.org/10.4271/2002-01-0138.Also In
SAE 2002 Transactions Journal of Passenger Cars - Electronic and Electrical Systems
Number: V111-7; Published: 2003-09-15
Number: V111-7; Published: 2003-09-15
References
- Abate M. Dosio N Use of Fuzzy Logic for Engine Idle Speed Control SAE Paper No. 900594
- Boverie, S. Raymond, C. Quellec, JM. Le Titli A. 1997 Fuzzy Control for Automotive Engine-Idle Speed Control Environmental and Intelligent Manufacturing System Series, Application of Fuzzy Logic 365 385
- Crossley P. R. Cook, J. A. 1991 Automotive Engine Modeling for Real Time Control Application IEE Proceeding of International Conference on Control 2 921 925
- Feldkamp L. A. Puskorius, G. V 1993 Trainable Fuzzy and Neural-Fuzzy Systems for Idle-Speed Control “ IEEE proceeding,
- Langari, R. 1990 A Framework for Analysis and Synthesis of Fuzzy Linguistic Control System University of California Berkeley
- Langari, R. 1992 A Nonlinear Formulation of a Class of Fuzzy Linguistic Control Algorithms ACC/TP3 2273 2278
- Passino, K. Yurkovich, S. 1998 Fuzzy Control Addison-Wesley Longman, Inc.
- Reznik, L. Shi J. 1995 Fuzzy Controller Design from A Practitioner's Point of View-Membership Function Choice Australian Journal of Intelligent Information Processing Systems 2 38 46
- Ross, J. Timothy 1996 Fuzzy Logic with Engineering Applications McGraw-Hill, Inc.
- Vachtsevanos G. Farinwata S. S. Kang H. 1992 A Systematic Design Method for Fuzzy Logic Control with Application to Automotive Idle Speed Control Proceeding of the 31st Conference on Decision and Control Tucson, Arizona
- Wang Li-Xin 1997 A course in Fuzzy Systems and Control Prentice Hall PTR, Upper Saddle River
- Yasin, S. Y. 2001 Systematic Methods for Designing Fuzzy Logic Controllers with theoretical foundations and Practical Application Western Michigan University