Kalman filter as a virtual sensor: Applied to automotive stability systems

Transactions of the Institute of Measurement & Control

Volumn 29, Issue 2, 2007, Pages 95-115

  Wenzel, T A ^a   Burnham, K J ^a   Blundell, M V ^a   Williams, R A ^b  

^a Institute for Clean Growth and Future Mobility   (United Kingdom)

^b JAGUAR LAND ROVER   (United Kingdom)

Author keywords

extended Kalman filter; stability control; state estimation; vehicle dynamics; virtual sensors

Indexed keywords

EXTENDED KALMAN FILTERS; STATE ESTIMATION; VEHICLES;

REFERENCE DATA; STABILITY CONTROL; STABILITY SYSTEMS; VEHICLE DYNAMICS; VEHICLE MODEL; VEHICLE PARAMETERS; VEHICLE STATE; VIRTUAL SENSOR;

SYSTEM STABILITY;

EID: 46349103790     PISSN: 01423312     EISSN: None     Source Type: Journal    
DOI: 10.1177/0142331207072990     Document Type: Article

References (31)

1. Abe, M., Kato, A., Suzuki, K., Kano, Y., Furukawa, Y. and Shibahata, Y. 1998: Estimation of vehicle side-slip angle for DYC by using on-board-tire-model. Proceedings of the 4th International SymposiUm on Advanced Vehicle Control (AVEC) 1998, Nagona, 437—42.
2. Albertos, P. and Goodwin, G.C. 2002: Virtual sensors for control applications. AnnUal Reviews in Control 26, 101—12.
3. Bauer, H., editor. 2004: AUtomotive electrics/ aUtomotive electronics, 4th edition. Robert Bosch GmbH.
4. Blundell, M.V. and Harty, D. 2004: The mUlti-body systems analysis approach to vehicle dynamics. Elsevier Butterworth-Heinemann.
5. Chee, W. 2001: Measuring yaw rate with accelerometers. FUtUre Transportation Technology Conference, Costa Mesa, CA. SAE technical paper series 2001-01-2535.
6. Fiala, E. 1954: Seitenkräfte am rollenden Luftreifen. VDI Zeitschrift 96, 973—79.
7. Gobbi, M. and Mastinu, G. 2004: Wheels with integrated sensors for measuring tyre forces and moments. Proceedings of the 7th International SymposiUm on Advanced Vehicle Control AVEC'04, HAN University, Arnhem, 23—27 August, 519—24.
8. Gustafsson, F., Drevö, M., Forssell, U., Löfgren, M., Persson, N. and Quicklund, H. 2001: Virtual sensors of tire pressure and road friction. SAE 2001 World Congress, Detroit, MI. SAE Society of Automotive Engineers. SAE technical paper series 2001-01-0796.
9. Haykin, S., editor. 2001: Kalman filtering and neural networks. John Wiley & Sons.
10. Hirschberg, W., Rill, G. and Weinfurter, H. 2002: User-appropriate tyre-modelling for vehicle dynamics in standard and limit situations. Vehicle System Dynamics 38, 103—25.
11. Jurgen, R.K., editor. 1999: AUtomotive electronics handbook. McGraw-Hill.
12. Kalman, R.E. 1960: A new approach to linear filtering and prediction problems. Transactions of the ASME—JoUrnal of Basic Engineering 82 (Series D), 35—45.
13. Kiencke, U. and Nielsen, L. 2000: AUtomotive control systems. Springer.
14. Krantz, W., Neubeck, J. and Wiedemann, J. 2002: Estimation of side slip angle using measured tire forces. SAE 2002 World Congress, Detroit, MI. SAE Society of Automotive Engineers. SAE technical paper series 2002-01-0969.
15. Milliken, W.F. and Milliken, D.L. 1995: Race car vehicle dynamics. SAE Society of Automotive Engineers.
16. MSC Software Corporation. 2003: Adams. http://www.adams.com (Accessed March 2003).
17. Ots. 2004: RT3000 User manual. http://www.ots.ndirect.co.uk. Oxford Technical Solutions Limited (Accessed June 2005).
18. Pacejka, H.B. 2002: Tyre and vehicle dynamics. Butterworth-Heinemann.
19. Smith, D.E. and Starkey, J.M. 1995: Effects of model complexity on the performance of automated vehicle steering controllers: model development, validation and comparison. Vehicle System Dynamics 24, 163—81.
20. Stéphant, J., Charara, A. and Meizel, D. 2004: Virtual sensor: application to vehicle sideslip angle and transversal forces. IEEE Transaction on IndUstrial Electronics 51, 278—89.
21. Stöcker, H., editor. 1998: TaschenbUch der Physik, 3rd edition. Verlag Harri Deutsch.
22. Tesis. 2003: ve-DYNA. http://www.tesis.de. Gesellschaft für Technische Simulation und Software mbH (Accessed October 2003).
23. Trächtler, A. 2004: Integrated vehicle dynamics control using active brake, steering and suspension systems. International JoUrnal of Vehicle Design 36, 1—12.
24. Tseng, H.E. 2002: A sliding mode lateral velocity observer. Proceedings of the 6th International SymposiUm on Advanced Vehicle Control (AVEC) 2002, Hiroshima.
25. Velardocchia, M. and Sorniotti, A. 2004: A failsafe strategy for a vehicle dynamics control (VDC) system. Proceedings SAE 2004 World Congress, Detroit, MI, 8—11 March. SAE Society of Automotive Engineers. SAE technical paper series 2004-01-0190.
26. Venhovens, P.J.T. and Naab, K. 1999: Vehicle dynamics estimation using Kalman filters. Vehicle System Dynamics 32, 171—84.
27. Visser, A., van der Wees, A.J. and Hertzberger, L.O. 2000: Discrete event modelling methodology for intelligent transport systems. Proceedings of the World Congress on Intelligent Transport Systems, Torino.
28. Wenzel, T.A. 2005: State and parameter estimation for vehicle dynamic control. PhD thesis, Coventry University.
29. Will, A.B. and Żak, S.H. 1997: Modelling and control of an automated vehicle. Vehicle System Dynamics 27, 131—55.
30. Wong, J.Y. 2001: Theory of groUnd vehicles, third edition. John Wiley & Sons.
31. Young, P.C. 1974: Recursive approaches to time series analysis. The InstitUte of Mathematics and its Applications, BUlletin 10, 209—24.