Vehicle sprung mass estimation for rough terrain

International Journal of Vehicle Design

Volumn 61, Issue 1-4, 2013, Pages 3-26

  Pence, Benjamin ^a   Hays, Joseph ^b   Fathy, Hosam K ^c   Sandu, Corina ^d   Stein, Jeffrey ^e  

^a FORD MOTOR COMPANY   (United States)

^b NAVAL RESEARCH LABORATORY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^e UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Extended Kalman filtering; Maximum likelihood estimation; Polynomial chaos; Rough terrain; Unscented Kalman filtering; Vehicle design; Vehicle mass estimation

Indexed keywords

CHAOS THEORY; GROUND VEHICLES; LANDFORMS; MAXIMUM LIKELIHOOD ESTIMATION; POLYNOMIALS;

EXTENDED KALMAN FILTERING; POLYNOMIAL CHAOS; ROUGH TERRAINS; UNSCENTED KALMAN FILTERING; VEHICLE DESIGN; VEHICLE MASS;

KALMAN FILTERS;

EID: 84871180760     PISSN: 01433369     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJVD.2013.050837     Document Type: Article

References (30)

1. Best, M.C. and Gordon, T.J. (1998) 'Suspension system identification based on impulse-momentum equations', Vehicle System Dynamics, Vol. 20, No. 6, pp.354-365.
2. Blanchard, E., Sandu, A. and Sandu, C. (2010) 'A polynomial chaos-based Kalman filter approach for parameter estimation of mechanical systems', ASME J. of Dynamic Systems Measurement and Control, Special Issue on Physical System Modeling, Paper no. 061404, Vol. 132, No. 6, DOI: 10.1115/1.4002481, p.18.
3. Blanchard, E.D., Sandu, A. and Sandu, C. (2009a) 'Polynomial chaos-based parameter estimation methods applied to vehicle system', Proc. of the Instit of Mech. Eng. (IMechE) Part K: J. of Multi-Body Dynamics, 2010, Vol. 224, No. K1, pp.59-81
4. Blanchard, E.D., Sandu, A. and Sandu, C. (2009b) 'Parameter estimation for mechanical systems via an explicit representation of uncertainty', Engineering Computations. Int. J. for Computer-Aided Engineering and Software, Paper no. EC116060, Vol. 26, No. 5, pp.541-569.
5. Fathy, H.K., Kang, D. and Stein, J.L. (2008) 'Online vehicle mass estimation using recursive least squares and supervisory data extraction', Proc. of the American Control Conference, Seattle, WA, USA, pp.1842-1848.
6. Ghanem, R. and Spanos, P. (1991) Stochastic Finite Elements: A Spectral Approach, Springer-Verlag, NewYork Inc.
7. Hac, A., Youn, I. and Chen, H.H. (1996) 'Control of suspensions for vehicles with flexible bodies - part I: active suspensions', Journal of Dynamic Systems, Measurement, and Control, Vol. 118, p.508.
8. Huh, K., Lim, S., Jung, J., Hong, D., Han, S., Han, K., Jo, Y.H. and Jin, J.M. (2007) Vehicle Mass Estimator for Adaptive Roll Stability Control, SAE Technical papers, paper 2007-01-0820.
9. Inman, D.J. (2001) Engineering Vibration, 2nd ed., Prentice Hall, New Jersey.
10. Ioannou, PA. and Sun, J. (1996) Robust Adaptive Control, Prentice-Hall, Inc., Upper Saddle River, New Jersey, USA.
11. Kim, C. and Ro, P.I. (2000) 'Reduced-order modelling and parameter estimation for a quarter-car suspension system', Proc. MechE Part D: J. of Automobile Eng., Vol. 214, No. 8, pp.851-864.
12. Kubus, D., Kröger, T. and Wahl, F.M. (2008) 'On-line estimation of inertial parameters using a recursive total least-squares approach', IEEE/RSJ Int. Conf. on Intelligent Robots and Sys, Nice, France, pp.3845-3852.
13. Li, L., Sandu, A. and Sandu, C. (2005) 'Modeling and simulation of a full vehicle with parametric and external uncertainties', ASME International Mechanical Engineering Congress and RD&D Expo, Orlando, FL, pp.6-11.
14. Lin, Y. and Kortüm, W. (1992) 'Identification of system physical parameters for vehicle systems with nonlinear components', Vehicle System Dynamics, Vol. 20, No. 6, pp.354-365.
15. Moon, T.K. and Stirling, W.C. (2000) Mathematical Methods and Algorithms for Signal Processing, Prentice Hall, New Jersey, pp.381-389.
16. Ohsaku, S. and Nakai, H. (2000) 'Sprung mass estimation apparatus', US Patent, Vol. 6, No. 55, p.471.
17. Pence, B.L., Fathy, H.K. and Stein, J.L. (2009a) 'Sprung mass estimation for off-road vehicles via base-excitation suspension dynamics and recursive least squares', Proc. of the 2009 American Control Conf, St Louis, M, pp.5043-5048.
18. Pence, B.L., Fathy, H.K. and Stein, J.L. (2009b) 'A base-excitation approach to polynomial chaos-based estimation of sprung mass for off-road vehicles', Proc. of the Dynamic Systems and Controls Conference, Hollywood, CA, pp.857-864.
19. Pence, B.L., Fathy, H.K. and Stein, J.L. (2010) 'A maximum likelihood approach to recursive polynomial chaos estimation', Proc. of the 2010 American Controls Conference, Baltimore, MD, pp.2144-2151.
20. Pence, B.L., Fathy, H.K. and Stein, J.L. (2011) Recursive Maximum Likelihood Parameter Estimation for State Space Systems using Polynomial Chaos Theory, Automatica, Vol. 47, No. 11, November, pp.2420-2424.
21. Poularikas, A.D. (1999) The Handbook of Formulas and Tables for Signal Processing, CRC Press LLC Boca Raton.
22. Rajamani, R. and Hedrick, K. (1995) 'Adaptive observers for active automotive suspensions: theory and experiment', IEEE Trans. on Control Sys. Tech., Vol. 3, No. 1, pp.86-93.
23. Ristic, B., Maskell, S. and Gordon, N. (2004) Beyond the Kalman Filter: Particle Filters for Tracking Applications, Artech House: Boston.
24. Sandu, A., Sandu, C. and Ahmadian, M. (2006a) 'Modeling multibody systems with uncertainties Part I: theoretical and computational aspects', Multibody Syst. Dyn., Vol. 15, No. 4, pp.373-395.
25. Sandu, A., Sandu, C. and Ahmadian, M. (2006b) 'Modeling multibody systems with uncertainties. Part II: numerical applications', Multibody Syst. Dyn., Vol. 15, No 3, pp.241-262.
26. Shimp, S.K. (2008) Vehicle Sprung Mass Identification Using an Adaptive Polynomial-Chaos Method, MS Thesis, Virginia Polytechnic Institute and State University, Virginia, USA.
27. Simon, D. (2006) Optimal State Estimation: Kalman, H., and Nonlinear Approaches, John Wiley and Sons Inc., New Jersey.
28. Song, X., Ahmadian, M., Southward, S. and Miller, L.R. (2005) 'An adaptive semiactive control algorithm for magnetorheological suspension systems', J. Vibration and Acoustics, Vol. 127, pp.493-502.
29. Stein, J.L. (1993) 'Modeling and state estimator design issues for model-based monitoring systems', Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 115, No. 2B, June, pp.318-327.
30. Tal, R. and Elad, S. (1999) 'Method for determining weight of a vehicle in motion', US Patent, Vol. 5, No. 973, p.273.