Functional approximation-based adaptive sliding control with fuzzy compensation for an active suspension system

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Volumn 219, Issue 11, 2005, Pages 1271-1280

  Chen, Hung Yi ^a   Huang, Shiuh Jer ^b  

^a MING CHI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Active suspension; Adaptive sliding control; Functional approximation technique; Fuzzy compensation

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; APPROXIMATION THEORY; ERROR ANALYSIS; FUZZY CONTROL; MATHEMATICAL MODELS; SLIDING MODE CONTROL;

ACTIVE SUSPENSION; ADAPTIVE SLIDING CONTROL; FUNCTIONAL APPROXIMATION TECHNIQUE; FUZZY COMPENSATION;

VEHICLE SUSPENSIONS;

EID: 27744477861     PISSN: 09544070     EISSN: 09544070     Source Type: Journal    
DOI: 10.1243/095440705X35026     Document Type: Conference Paper

References (17)

1. Fialho, I. and Balas, G. J. Road adaptive active suspension design using linear parameter-varying gain-scheduling. IEEE Trans. Control Syst. Technol., 2002, 10, 43-54.
2. Hrovat, D. Optimal active suspension structures for quarter-car vehicle models. Automatica, 1990, 26, 845-860.
3. Sunwoo, M. and Cheok, K. C. An application of explicit self-tuning controller to vehicle active suspension systems. In Proceedings of IEEE Conference on Decision and Control, 1990, 2251-2255.
4. Hac, A. Optimal linear preview control of active vehicle suspension. In Proceedings of 29th IEEE Conference on Decision and Control, 1990, part 5, Vol. 5, 2779-2784.
5. Louam, N., Wilson, D. A., and Sharp, R. S. Optimization and performance enhancement of active suspensions for automobiles under preview of the road. Vehicle System Dynamics, 1992, 21, 39-63.
6. Alleyne, A. and Hedrick, J. K. Nonlinear adaptive control of active suspensions. IEEE Trans. Control Syst. Technol., 1995, 3(1), 94-101.
7. Chantranuwathana, S. and Peng, H. Adaptive robust control for active suspensions. In Proceedings of American Control Conference, 1999, 1702-1706.
8. Ro, P. I., Kim, C., and Kim, H. Active suspension using fuzzy logic control. In Proceedings of American Control Conference, 1993, 2252-2253.
9. Yester, J. L. and McFall, R. H. Fuzzy logic controller for active suspension. In Proceedings of Society of Automotive Engineers, 1992, paper P-260, 259-270.
10. Yeh, E. C. and Tsao, Y. J. Fuzzy preview control scheme of active suspension for rough road. Internatn. J. Veh. Des., 1994, 15, 166-180.
11. Huang, S. J. and Chao, H. C. Fuzzy logic controller for a vehicle active suspension system. Proc. IMechE, Part D: J. Automobile Engineering, 2000, 214, 1-12.
12. Cherry, A. S. and Jones, R. P. Fuzzy logic control of an automotive suspension systems. IEE Proc. D: Control Theory Applic., 1995, 142(2), 149-160.
13. Huang, S. J. and Lin, W. C. A self-organizing fuzzy controller for an active suspension system. J. Vibr. and Control, 2003, 9, 1023-1040.
14. Huang, S. J. and Lin, W. C. Adaptive fuzzy controller with sliding surface for vehicle suspension control. IEEE Trans. Fuzzy Syst., 2003, 11(4), 550-559.
15. Huang, A. C. and Kuo, Y. S. Sliding control of nonlinear systems containing lime-varying uncertainties with unknown bounds. Internatn. J. Control, 1999, 74(3), 252-264.
16. Narendra, K. S. and Annaswamy, A. M. A new adaptive law for robust adaptation without persistent excitation. IEEE Trans. Autom. Control, 1987, AC-32(2), 134-145.
17. Narendra, K. S. and Annaswamy, A. M. Stable adaptive systems, 1989 (Prentice-Hall, Englewood Cliffs, New Jersey).