Skip to main content

Vehicle Dynamics Control

  • Living reference work entry
  • Latest version View entry history
  • First Online:
Encyclopedia of Systems and Control
  • 49 Accesses

Abstract

The current prevailing control technology enables Vehicle Dynamics Control through powertrain torque manipulation and individual wheel braking. Longitudinal control can maintain vehicle acceleration/braking capability within the physical limits that the road condition can support, while vehicle lateral control can preserve vehicle steering/handling capability up to the maximum capacity offered by the road/tire interaction. Since most of these controllers are driver-assist systems, their objective is to retain the vehicle dynamic state in operating regions familiar to drivers. In general, this implies that the controller will keep the tire in its linear region and avoid excessive slipping, skidding, or sliding.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Bibliography

  • Ahn C, Peng H, Tseng HE Robust estimation of road frictional coefficient. Control Syst Technol IEEE Trans 21(1):1

    Google Scholar 

  • Borrelli F, Bemporad A, Fodor M, Hrovat D (2006) An MPC/hybrid system approach to traction control. Control Syst Technol IEEE Trans 14(3):541–552

    Article  Google Scholar 

  • Brown M, Funke J, Erlien S, Gerdes JC (2017) Safe driving envelopes for path tracking in autonomous vehicles. Control Eng Pract 61:307–316

    Article  Google Scholar 

  • Carlson CR, Gerdes JC (2003) Nonlinear estimation of longitudinal tire slip under several driving conditions. In: Paper Presented in American Control Conference, June 2003

    Google Scholar 

  • Dang JN (2004) Preliminary results analyzing the effectiveness of electronic stability control (ESC) systems, Report no. DOT HS-809–790. National Highway Traffic Safety Administration, Washinton

    Google Scholar 

  • Deur J, Asgari J, Hrovat D (2004) A 3D brush-type dynamic tire friction model, vehicle system dynamics. Int J Veh Mech Mobil 42(3):133–173

    Google Scholar 

  • Deur J, Ivanoviæ V, Hancock M, Assadian F (2010) Modeling and analysis of active differential dynamics. ASME J Dyn Syst Meas Control 132(6):1–13

    Article  Google Scholar 

  • Di Cairano S, Tseng HE, Bernardini D, Bemporad A (2013) Vehicle yaw stability control by coordinated active front steering and differential braking in the tire sideslip angles domain. Control Syst Technol IEEE Trans 21(4):1236, 1248

    Google Scholar 

  • Eustice R (2019) AI guarding the human: Toyota’s guardian approach to automated driving. University of Michigan Control Seminar sponsored by Electrical and Computer Engineering at U-M, Bosch, Ford, and Toyota, hosted on 15 Mar 2019. https://www.youtube.com/watch?v=QnUHg3ZpVWU

  • Falcone P, Borrelli F, Asgari J, Tseng HE, Hrovat D (2007) Predictive active steering control for autonomous vehicle systems. IEEE Trans Control Syst Technol 15(3):566–580

    Article  Google Scholar 

  • Falcone P, Tseng HE, Borrelli F, Asgari J, Hrovat D (2008) MPC-based yaw and lateral stabilization via active front steering and braking. Veh Syst Dyn 46(S1): 611–628

    Article  Google Scholar 

  • Ferguson SA (2007) The effectiveness of electronic stability control in reducing real-world crashes: a literature review. Traffic Inj Prev 8(4):329–338

    Article  Google Scholar 

  • Fodor M, Yester J, Hrovat D (1998) Active control of vehicle dynamics. In: Paper presented in 17th AIAA/IEEE/SAE digital avionics systems conference, Seattle

    Google Scholar 

  • Gao Y, Lin T, Borrelli F, Tseng E, Hrovat D (2010) Predictive control of autonomous ground vehicles with obstacle avoidance on slippery roads. In: ASME 2010 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, pp 265–272

    Google Scholar 

  • Gustafsson F (1996) Estimation and change detection of tire-road friction using the wheel slip. In: Computer-aided control system design, Proceedings of the 1996 IEEE International Symposium, pp 99–104

    Google Scholar 

  • Healey JR (2005) Ford’s 2006 fusion review. Traction control on the V-6 test car was just right…. http:// usatoday30.usatoday.com/money/autos/reviews/healey/ 2005-10-27-fusion_x.htm posted on 27 Oct 2005. Accessed on 30 Aug 2013

  • Hori Y, Toyoda Y, Tsuruoka Y (1998) Traction control of electric vehicle: basic experimental results using the test EV “UOT electric march”. IEEE Trans Indus Appl 34(5):1131–1138

    Article  Google Scholar 

  • Hrovat D (1997) Survey of advanced suspension developments and related optimal control applications. Automatica 33(10):1781–1817

    Article  MathSciNet  Google Scholar 

  • Hrovat D, Asgari J, Fodor M (2000) Automotive mechatronic systems. In: Leondes CT (ed) Mechatronic systems techniques and applications: volume 2 – transportation and vehicular systems. Gordon and Breach Science, pp 1–98

    Google Scholar 

  • Insurance Institute for Highway Safety (IIHS) (2006) Electronic stability control could prevent nearly one-third of all fatal crashes and reduce rollover risk by as much as 80%; effect is found on single- and multiple-vehicle crashes, News Release 13 June 2006. http://www.iihs.org/news/rss/pr061306.html. Accessed 30 Aug 2013

  • Lee S, Tseng HE (2018) Trajectory planning with shadow trolleys for an autonomous vehicle on bending roads and switchbacks. In 2018 IEEE Intelligent Vehicles Symposium (IV). pp 484–489

    Google Scholar 

  • Lu J, Messih D, Salib A, Harmison D (2007) An enhancement to an electronic stability control system to include a rollover control function. SAE Trans 116:303–313

    Google Scholar 

  • Manning WJ, Crolla DA (2007) A review of yaw rate and sideslip controllers for passenger vehicles. Trans Inst Meas Control 29(2):117–135

    Article  Google Scholar 

  • Ryu J, Rossetter EJ, Gerdes JC (2002) Vehicle sideslip and roll parameter estimation using GPS. In: Proceedings of AVEC 2002 6th International Symposium of Advanced Vehicle Control

    Google Scholar 

  • Samad T, Annaswamy AM (2014) The impact of control technology. IEEE Control Syst Soc 1:246. Hrovat D, Tseng H, Di Cairano S. Addressing automotive industry needs with model predictive control

    Google Scholar 

  • Seegmiller N, Wettergreen D (2011) Optical flow odometry with robustness to self-shadowing. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, pp 613–618

    Google Scholar 

  • Song X, Song Z, Seneviratne LD, Althoefer K (2008) Optical flow-based slip and velocity estimation technique for unmanned skid-steered vehicles. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, pp 101–106

    Google Scholar 

  • Tseng HE (2001) Dynamic estimation of road bank angle. Veh Syst Dyn 36(4–5):307–328

    Article  Google Scholar 

  • Tseng HE (2002) A sliding mode lateral velocity observer. In: Proceedings of AVEC 2002 6th International Symposium on Advanced Vehicle Control. Hiroshima, pp 387–392

    Google Scholar 

  • Tseng HE, Ashrafi B, Madau D, Brown AT, Recker D (1999) The development of vehicle stability control at Ford. Mech IEEE/ASME Trans 4(3):223–234

    Article  Google Scholar 

  • Tseng HE, Xu L, Hrovat D (2007) Estimation of land vehicle roll and pitch angles. Veh Syst Dyn 45(5): 433–443

    Article  Google Scholar 

  • Turri V, Carvalho A, Tseng HE, Johansson KH, Borrelli F (2013) Linear model predictive control for lane keeping and obstacle avoidance on low curvature roads. In: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). IEEE, pp 378–383

    Google Scholar 

  • Van Zanten AT (2000) Bosch ESP systems: 5 years of experience. SAE Trans 109(7):428–436

    Google Scholar 

  • Xu L, Tseng HE (2007) Robust model-based fault detection for a roll stability control system. Control Syst Technol IEEE Trans 15(3):519–528

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to H. Eric Tseng .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer-Verlag London Ltd., part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Tseng, H.E. (2021). Vehicle Dynamics Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_71-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_71-2

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Chapter history

  1. Latest

    Vehicle Dynamics Control
    Published:
    03 February 2021

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_71-2

  2. Original

    Vehicle Dynamics Control
    Published:
    10 October 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_71-1