DSP-based self-organising fuzzy controller for active suspension systems

Vehicle System Dynamics

Volumn 46, Issue 12, 2008, Pages 1123-1139

  Lin, Jeen ^a   Lian, Ruey Jing ^b  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b VANUNG UNIVERSITY   (Taiwan)

Author keywords

Active suspension system; Handling ability; Ride comfort; Self organising fuzzy controller; Tire deflection

Indexed keywords

AUTOMOBILE BODIES; AUTOMOBILE SUSPENSIONS; CONTROL THEORY; DIGITAL SIGNAL PROCESSORS; DYNAMIC RESPONSE; ELASTIC MODULI; FLUID MECHANICS; FUZZY CONTROL; FUZZY RULES; FUZZY SETS; HYDRAULICS; MEMBERSHIP FUNCTIONS; PASSIVE NETWORKS; SAFETY ENGINEERING; SIGNAL PROCESSING; SOLID OXIDE FUEL CELLS (SOFC); SOLUTE TRANSPORT; SUSPENSIONS (COMPONENTS); VEHICLE SUSPENSIONS; VEHICLES;

ACTIVE SUSPENSION SYSTEM; HANDLING ABILITY; RIDE COMFORT; SELF-ORGANISING FUZZY CONTROLLER; TIRE DEFLECTION;

AUTOMOBILE PARTS AND EQUIPMENT;

EID: 53349099378     PISSN: 00423114     EISSN: 17445159     Source Type: Journal    
DOI: 10.1080/00423110701809226     Document Type: Article

References (38)

1. N. Yagiz, V. Özbulur, N. Inanc, and A. Derdiyok, Sliding modes control of active suspensions, in Proceedings of the 12th IEEE international symposium on intelligent control, Istanbul, Turkey, 1997, pp. 349-353.
2. S. Chantranuwathana and H. Peng, Adaptive robust control for active suspensions, in Proceedings of the American control conference, San Diego, California, 1999, pp. 1702-1706.
3. P.S. Huang, H. Smakman, and J. Guldner, Design of a vehicle state observer for vehicle dynamics control systems, in Proceedings of AVEC 2000, 5th international symposium on advanced vehicle, control, Ann Arbor, MI, 2000, pp. 449-452.
4. A. Alleyne and R. Liu, On the limitations of force tracking control for hydraulic servosystems, ASME J. Dyn. Syst. Meas. Control 121(2) (1999), pp. 184-190.
5. Y. Zhang and A. Alleyne, A practical and effective approach to active suspension control, Vehicle Syst. Dyn. 43(5) (2005), pp. 305-330.
6. A. Alleyne, P.D. Neuhaus, and J.K. Hedrick, Application of nonlinear control theory to elctronically controlled suspensions, Vehicle Syst. Dyn. 22(5-6) (1993), pp. 309-320.
7. A. Alleyne and J.K. Hedrick, Nonlinear adaptive control of active suspensions, IEEE Trans. Control Syst. Technol. 3(1) (1995), pp. 94-101.
8. S. Chantranuwathana and H. Peng, Adaptive robust force control for vehicle suspensions, Int. J. Adapt. Control Signal Process. 18(2) (2004), pp. 83-102.
9. B. Yao and M. Tomizuka, Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form, Automatica 33(5) (1997), pp. 893-900.
10. F. Yu, J.W. Zhang, and D.A. Crolla, Study of Kalman filter active vehicle suspension system using correlation of front and rear wheel road inputs, Proc. Inst. Mech. Eng. D, J. Automob. Eng. 214(5) (2000), pp. 493-502.
11. M.M. ElMadany and M.I. Al-Majed, Quadratic synthesis of active controls for a quarter-car model, J. Vib. Control 7 (2001), pp. 1237-1252.
12. J. Marzbanrad, G. Ahmadi, Y. Hojjat, and H. Zohoor, Optimal active control of vehicle suspension system including time delay and preview for rough roads, J. Vib. Control 8 (2002), pp. 967-991.
13. A.R. Schuman and R.J. Anderson, Optimal control of an active anti roll suspension for an off-road utility vehicle using interconnected hydragas suspension units, Vehicle Syst. Dyn. 37 (2002), pp. 145-456.
14. M.M. ElMadany, Z. Abduljabbar, and M. Foda, Optimal preview control of active suspensions with integral constraint, J. Vib. Control 9(12) (2003), pp. 1377-1400.
15. J.L. Yester and R.H. McFall, Fuzzy logic controller for active suspension, in Proceedings of the American Control Conference, Paper P-260, 1992, pp. 259-270.
16. E.C. Yeh and Y.J. Tsao, Fuzzy preview control scheme of active, suspension for rough road, Int. J. Vehicle Des. 15(1-2) (1994), pp. 166-180.
17. T. Yoshimura, Active suspension of vehicle, systems using fuzzy logic, Int. J. Syst. Sci. 27(2) (1996), pp. 215-219.
18. M.V.C. Rao and V. Prahlad, A tunable fuzzy logic controller for active suspension system, Fuzzy Set Syst. 85 (1997), pp. 11-21.
19. S.J. Huang and H.C. Chao, Fuzzy logic controller for a vehicle active suspension system, Proc. Inst. Mech. Eng. D, J. Autom. Eng. 214 (2000), pp. 1-12.
20. T.J. Procyk and E.H. Mamdani, A linguistic self-organizing process controller, Automatica 15 (1979), pp. 15-30.
21. S. Shao, Fuzzy self-organizing controller and its application for dynamic process, Fuzzy Set Syst. 26 (1988), pp. 151-164.
22. B.S. Zhang and J.M. Edmunds, Self-organizing fuzzy logic controller, Proc. IEE-D, Control Theory Appli. 139(5) (1992), pp. 460-464.
23. C.Z. Yang, Design of real-time linguistic self-organizing fuzzy controller, MSc thesis, Department of Mechanical Engineering, National Taiwan University, Taiwan, 1992.
24. J. Sun, Q. Yang, Y. Ding, and Y. Zhang, LMS adaptive control for vehicle active suspension system, Proc. IEEE Intelligent Transp. Syst. 2(12-15) (2003), pp. 1372-1377.
25. S.J. Huang and W.C. Lin, A self-organizing fuzzy controller for an active suspension system, J. Vib. Control 9(9) (2003), pp. 1023-1040.
26. A. Jartiz and M.W. Spang, An experimental comparison of robust control algorithms on a direct drive manipulator, IEEE Trans. Control Syst. Technol. 4(6) (1996), pp. 627-640.
27. M.K. Masten and I. Panahi, Digital signal processors for modern control systems, Control Eng. Pract. 5(4) (1997), pp. 449-458.
28. S.S. Ku, G. Larsen, and S. Cetinkunt, Fast tool servo control for ultra-precision machining at extremely low feed rates, Mechatronics 8 (1998), pp. 381-393.
29. C.C. Tsal and C.H. Lu, Multivariable self-tuning temperature control for plastic injection molding process, IEEE Trans. Ind. Appli. 34(2) (1998), pp. 310-318.
30. C.H. Tsai and H.C. Lu, Design and implementation of a DSP-based grey-fuzzy controller for induction motordrive, Elect. Mach. Power Syst. 28 (2000), pp. 373-384.
31. K.N. Majeed, Dual-processor controller with vehicle suspension applications, IEEE Trans. Veh. Technol. 39(3) (1990), pp. 271-276.
32. K. Majeed R. Riley, and M. DePoyster, DSP based control of chassis systems, in Proceedings of the American Control Conference 1, 1995, pp. 485-489.
33. S.J. Joo and J.H. Seo, Design and analysis of the nonlinear feedback linearizing control for an electromagnetic suspension system, IEEE Trans. Control Syst. Technol. 5(1) (1997), pp. 135-144.
34. H.E. Merritt, Hydraulic Control Systems, John Wiley & Sons Inc., New York, 1967.
35. L. Ljung, System Identification: Theory for the User, Prentice-Hall Inc., Englewood Cliffs, NY, 1987.
36. C.C. Lee, Fuzzy logic in control systems: fuzzy logic - Parts I and II, IEEE Trans. Syst. Man Cybern. 20 (1990), pp. 404-435.
37. E.H. Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, Proc. Inst. Elect. Eng. 121(12) (1974), pp. 1585-1588.
38. S.J. Huang and R.J. Lian, A combination of fuzzy logic and neural network algorithms for active vibration control, Proc. Inst. Mech. Eng. J. Syst. Control Eng. 210(3) (1996), pp. 153-167.