Tyre-force estimation by Kalman inverse filtering: Applications to off-highway mining trucks

Vehicle System Dynamics

Volumn 44, Issue 12, 2006, Pages 921-937

  Siegrist, P M ^a,b   McAree, P R ^a,b  

^a University of Melbourne   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

ADAMS modelling; Kalman filter; Mining truck dynamics; State estimation; Tyre force

Indexed keywords

ADAMS MODELING; MINING TRUCK DYNAMICS; REAL-TIME ESTIMATION;

KALMAN FILTERING; MATHEMATICAL MODELS; MINING; PARAMETER ESTIMATION; UTILITY TRUCKS;

FORCE MEASUREMENT;

EID: 33750579352     PISSN: 00423114     EISSN: 17445159     Source Type: Journal    
DOI: 10.1080/00423110600784959     Document Type: Article

References (17)

1. Ray, L.R., 1995, Nonlinear state and tire force estimation for advance vehicle control. IEEE Transactions on Control Systems Technology, 3, 117-124.
2. Ray, L.R., 1997, Nonlinear tire force estimation and road friction identification: simulation and experiments. Automatica, 33, 1819-1833.
3. Bolzern, P., Cheli, G., Falciola, G. and Resta, F., 1999, Estimation of the non-linear suspension tyre cornering forces from experimental road test data. Vehicle System Dynamics, 31, 23-34.
4. Huh, K. and Kim, J., 2001, Active steering control based on the estimated tire forces. Journal of Dynamic Systems, Measurement and Control, 123, 505-511.
5. Gelb, A. (Eds.), 1974, Applied Optimal Estimation (M.I.T. Press).
6. Bayless, J.W. and Brigham, E.O., 1970, Application of the Kalman filter to continuous signal restoration. Geophysics, 35(1), 2-23.
7. Sri-Jayantha, M. and Stengel, R.F., 1988, Determination of nonlinear aero-dynamics coefficients using the estimation-before modeling method. Journal of Aircraft, 25, 796-804.
8. Kim, J., Kim, H., Chio, S., Seong, W. and Lee, K.Y., 2002, Estimation of hydrodynamic coefficients for an AUV using nonlinear observers. IEEE Journal of Oceanic Engineering, 27, 830-840.
9. Ray, L.R., 2001, Adaptive friction compensation using extended Kalman-Bucy filter friction estimation. Control Engineering Practice, 9, 169-179.
10. Murakami, T., Yu, F. and Ohnishi, K., 1993, Torque sensorless control in multidegree-of-freedom manipulator. IEEE Transactions on Industrial Electronics, 40(2), 259-265.
11. Chen, W.H., Ballance, D.J., Gawthrop, P.J. and O'Reilly, J.A., 2000, Nonlinear disturbance observer for robotic manipulators. IEEE Transactions on Industrial Electronics, 47(4), 932-938.
12. Liu, C.S. and Peng, H., 2002, Inverse-dynamics based state and disturbance observers for linear time-invariant systems. Journal of Dynamic Systems, Measurement and Control, 124, 375-381.
13. Lin, C.F., Ulsoy, A.G. and LeBlanc, D.J., 2000, Vehicle dynamics and external disturbance estimation for vehicle path prediction. IEEE Transactions on Control Systems Technology, 8, 508-518.
14. Petschel, B.S. and McAree, P.R., 2006, Convergence properties of the Kalman inverse filter. Automatica, in press.
15. O'Neill, F.C., 1989, The Caterpillar 785 truck. SAE Technical Paper Series, Ref. 860771.
16. Holman, P.J., 1989, Caterpillar mechanical drive off-highway trucks. In: T.S. Golosinski and V. Srajer (Eds) Off-Highway Haulage in Surface Mines (Balkema).
17. Siegrist, P.M., 2004, A methodology for monitoring tyre-forces on off-highway mining trucks. PhD thesis, The University of Queensland, Australia.