Abstract
Modern vehicle dynamic control systems are based on new types of actuators, such as active steering and active differentials, in order to improve the overall handling performance including stability, responsiveness, and agility. Numerical techniques of off-line optimization of vehicle dynamics control variables can conveniently be used to facilitate decisions on optimal actuator configurations and provide guidance for design of realistic, on-line controllers. This chapter overviews the previous authors’ results of assessment of various vehicle dynamics actuator configurations based on application of a back propagation through time (BPTT) conjugate gradient optimization algorithm. It is then focused on detailed optimization of active front and rear steering control variables for various maneuvers and design specifications, where a nonlinear programming-based optimization tool is used.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Betts JT (2001) Practical methods for optimal control using nonlinear programming. SIAM, Philadelphia
Cipek M, Corić M, Skugor B, Kasać J, Deur J (2013) Dynamic programming-based optimization of control variables of an extended range electric vehicle. SAE paper No. 2013–01-1481
Deur J, Ivanović V, Hancock M, Assadian F (2010) Modeling and analysis of active differential dynamics. ASME J Dyn Syst Measur Control 132:061501/1–13
Deur J, Kasać J, Hancock M, Barber P (2011) A study of optimization-based assessment of global chassis control actuator configurations. In: Proceedings of IAVSD 2011
Falcone P, Tseng EH, Borelli F, Asgari J, Hrovat D (2008) Mpc-based yaw and lateral stabilization via active front steering and braking. Veh Syst Dyn 46:611–628
Guzzella L, Sciarretta A (2007) Vehicle propulsion systems. In: Introduction to modeling and optimization. Springer, Berlin
Hac A, Doman D, Oppenheimer M (2006) Unified control of brake- and steer-by-wire systems using optimal control allocation methods. SAE paper No. 2006–01-0924
Hancock M (2006) Vehicle handling control using active differentials. Ph.D. thesis, University of Loughborough, UK
Horiuchi S (2011) Evaluation of chassis control method through optimization based controllability region computation. In: Proceedings of IAVSD 2011
Hrovat D, Tseng HE, Lu J, Deur J, Assadian F, Borrelli F, Falcone P (2011) Vehicle control. In: Levine WS (ed) The control handbook: control system applications, 2nd edn. CRC Press, Boca Raton
Kasać J, Deur J, Novaković B, Kolmanovsky I, Assadian F (2012) A conjugate gradient-based bptt-like optimal control algorithm with vehicle dynamics control application. IEEE Trans Control Syst Technol 19:1587–1595
Kolmanovsky I, Stefanopoulou A (2001) Optimal control techniques for assessing feasibility and defining subsystem level requirements: an automotive case study. IEEE Trans Control Syst Technol 9(3):524–534. doi:10.1109/87.918904
Pilutti T, Ulsoy G, Hrovat D (2000) Vehicle steering system and method for controlling vehicle direction through differential braking of left and right road wheels. U.S. patent No. 6021367
PROPT-Matlab Optimal Control Software. User’s guide (2010)
van Zanten AT (2000) Bosch ESP systems: 5 years of experience. SAE paper No. 2000-01-1633
Velenis E, Tsiotras P (2005) Minimum time vs maximum exit velocity path optimization during cornering. IEEE ISIE 2005:355–360
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Deur, J., Corić, M., Kasać, J., Assadian, F., Hrovat, D. (2014). Applications of Computational Optimal Control to Vehicle Dynamics. In: Waschl, H., Kolmanovsky, I., Steinbuch, M., del Re, L. (eds) Optimization and Optimal Control in Automotive Systems. Lecture Notes in Control and Information Sciences, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-05371-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-05371-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05370-7
Online ISBN: 978-3-319-05371-4
eBook Packages: EngineeringEngineering (R0)