State observer design for an adaptive vehicle suspension

Vehicle System Dynamics

Volumn 30, Issue 6, 1998, Pages 457-471

  Yu, F ^a   Crolla, D A ^b  

^a JILIN UNIVERSITY   (China)

^b UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; OBSERVABILITY; PARAMETER ESTIMATION; SENSORS; SYSTEM STABILITY;

ADAPTIVE VEHICLE SUSPENSIONS;

VEHICLE SUSPENSIONS;

EID: 0032306224     PISSN: 00423114     EISSN: None     Source Type: Journal    
DOI: 10.1080/00423119808969461     Document Type: Article

References (8)

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2. Best, M.C., Gordon, T.J., Real time estimation of vehicle suspension characteristics using Kalman filtering. FISITA Congress, October 1994, Beijing, China.
3. Friedland, B., Control System Design - An introduction to state space methods. McGraw-Hill International, 1986.
4. ElMadany, M.M., Ride control of a stochastic model of a tractor-semitrailer vehicle, J. of Sound and Vibration, 1992, 156(2), pp. 269-281.
5. Roy, L.R., Robust linear-optimal control laws for active suspension systems, J. of Dynamic Systems, Measurement and Control, 1992, Vol. 114, pp. 592-598.
6. Kiriczi, S. and Kashani, R., Control of active suspension with parameter uncertainty and non-white road unevenness disturbance input, SAE 902283.
7. Sharma, K., Crolla, D.A. and Wilson, D.A., The design of a fully active suspension system incorporating a Kalman Filter for state estimation. Int. Conference on Control, Coventry, England, March, 1994, Vols. 1 and 2, Ch. 277, pp. 344-349.
8. Fan Yu, Adaptive and self-tuning control of vehicle suspension: [PhD Thesis]. Department of Mechanical Engineering, The University of Leeds. 1996.