Optimizing Vehicle Motion Control for Generating Multiple Sensations
Pages 928 - 935
Abstract
Most of automotive researches focus on autonomous vehicles. Studies regarding trajectory planning and trajectory tracking became preponderant. As in case of commercial ground vehicles there is a driver in the loop, one should raise the important question of how the trajectory should be tracked. In this paper, we investigate the influence of controlling integrated chassis systems on the vehicle’s behavior. A fixed Model Predictive Control is used to track the trajectory. Tunable vehicle motion control is however used to provide different motion feelings. Results show that a specific trajectory could be followed in different manners. Therefore, vehicle dynamics can be and should be controlled in such a way to generate adaptive trust feelings to passengers in case of autonomous driving.
References
[1]
M. Gerard and E.Y. Lopes, Global Chassis Control and Braking Control using Tyre Forces Measurement, TU Delft , 2011 .
[2]
M. Kissai, B. Monsuez and A. Tapus, Review of integrated vehicle dynamics control architectures, 2017 European Conference on Mobile Robots (ECMR), Paris , 2017, pp. 1 – 8 .
[3]
A. Soltani, Low Cost Integration of Electric Power-Assisted Steering (EPAS) with Enhanced Stability Program (ESP), PhD thesis, Cranfield University, 2014 .
[4]
C. O. Nwagboso, X. Ouyang, and C. Morgan, Development of neuralnetwork control of steer-by-wire system for intelligent vehicles, in Heavy Vehicle Systems , vol. 9, 2002, pp. 1 – 26 .
[5]
J.-X. Wang, N. Chen, D.-W. Pi and G.-D. Yin, Agent-based coordination framework for integrated vehicle chassis control, in Proc. Inst. Mech. Eng., D, J. Automobile Eng ., vol. 223, no. 5, pp. 601 – 621, 2009 .
[6]
B. Shyrokau, D. Wang, Control allocation with dynamic weight scheduling for two-task integrated vehicle control, Proc. of the 11th International Symposium on Advanced Vehicle Control , Seoul, Korea, 2012 .
[7]
Y. Chen and J. Wang, Energy-efficient control allocation with applications on planar motion control of electric ground vehicles, Proceedings of the 2011 American Control Conference , San Francisco, CA, 2011, pp. 2719 – 2724 .
[8]
H. Jing, F. Jia, H. Liu and J. Sun, Multi-objective optimal control allocation for a four-wheel-independent-drive electric vehicle, 2017 36th Chinese Control Conference (CCC) , Dalian, 2017, pp. 9543 – 9547 .
[9]
B. Shyrokau, D. Wang, L. Heidrich and K. Hpping, Analysis of subsystems coordination for electric vehicle during straight-line braking and brake-in-turn, 2013 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES) , Singapore, 2013, pp. 61 – 67 .
[10]
S. Yim, Fault-Tolerant Yaw Moment Control with Steer and Brake by-Wire Devices, International Journal of Automotive Technology , vol. 15, no. 3, pp. 463 – 468, 2014 .
[11]
M. Kissai, B. Monsuez, A. Tapus and D. Martinez, A new linear tire model with varying parameters, 2017 2nd IEEE International Conference on Intelligent Transportation Engineering (ICITE) , Singapore, 2017, pp. 108 – 115 .
[12]
H.B. Pacejka, Tyre and Vehicle Dynamics , Second Edition, Elsevier, Butterworth-Heinemann, 2006 .
[13]
A. Chebly, R. Talj, A. Charara, Coupled Longitudinal and Lateral Control for an Autonomous Vehicle Dynamics Modeled Using a Robotics Formalism, IFAC-PapersOnLine , vol. 50, issue 1, 2017, pp. 12526 – 12532 .
[14]
S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design , 2nd Edition, JOHN WILEY & SONS, 2001 .
[15]
G. Pita-Gil, Application de techniques de commande avancées dans le domaine automobile, PhD thesis, Supélec, 2011 .
[16]
P. Apkarian and D. Noll, ” Nonsmooth H-infinity Synthesis,” IEEE Transactions on Automatic Control , Vol. 51, Number 1, 2006, pp. 71 – 86 .
[17]
M. Doumiati, O. Sename, L. Dugard, J. J. Martinez Molina, P. Gaspar, et al., Integrated vehicle dynamics control via coordination of active front steering and rear braking, European Journal of Control, Lavoisier , 2013, 19 ( 2 ), pp. 121 – 143 .
[18]
T. A. Johansen and T. I. Fossen, Control Allocation - A survey, in Automatica , Vol. 49, Issue 5, May 2013, pp. 1087 ?1103 .
[19]
O. Harkegard, Efficient active set algorithms for solving constrained least squares problems in aircraft control allocation, Proceedings of the 41st IEEE Conference on Decision and Control , Vol. 2, 2002, pp. 1295 – 1300 .
[20]
K.A. Bordignon, Constrained Control Allocation for Systems with Redundant Control Effectors, PhD thesis, Virginia Tech, 1996 .
[21]
J.J. Burken, P. Lu, Z. Wu, and C. Bahm, Two Reconfigurable Flight-Control Design Methods: Robust Servomechanism and Control Allocation, Journal of Guidance, Control, and Dynamics , Vol. 24, No. 3, pp. 482 – 493, 2001 .
[22]
J. Villagra, B. d’Andréa-Novel, M. Fliess, H. Mounier, A diagnosisbased approach for tire/road forces and maximum friction estimation, Control Engineering Practice , vol. 19, issue 2, 2011, pp. 174 – 184 .
[23]
Y.-H. Liu, T. Li, Y.-Y. Yang, X.-W. Ji, J. Wu, Estimation of tireroad friction coefficient based on combined APF-IEKF and iteration algorithm, Mechanical Systems and Signal Processing , vol. 88, 2017, pp. 25 – 35 .
[24]
J. Svendenius, Tire Modeling and Friction Estimation Department of Automatic Control , Lund University, 2007 .
[25]
M. A. Selby, “ Intelligent Vehicle Motion Control,” PhD thesis, University of Leeds, Feb. 2003 .
[26]
F.M. Raimondi, M. Melluso, Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort, In Automatica , Vol. 44, Issue 11, 2008, pp. 2804 – 2816 .
[27]
M. Hengstler, E. Enkel, S. Duelli, Applied artificial intelligence and trust - The case of autonomous vehicles and medical assistance devices, Technological Forecasting and Social Change , vol. 105, 2016, pp. 105 – 120 .
[28]
J. Funke, M. Brown, S. M. Erlien and J. C. Gerdes, Collision Avoidance and Stabilization for Autonomous Vehicles in Emergency Scenarios, in IEEE Transactions on Control Systems Technology , vol. 25, no. 4, pp. 1204 – 1216, July 2017 .
[29]
A.K. Frison, P. Wintersberger, A. Riener, and C. Schartmller, Driving Hotzenplotz: A Hybrid Interface for Vehicle Control Aiming to Maximize Pleasure in Highway Driving, In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17), ACM , New York, NY, USA, pp. 236 – 244, 2017 .
[30]
H. Harada, Stability Criteria and Evaluation of Steering Maneuver in “ Driver-Vehicle System”, JSME international journal. Ser. C, Dynamics, control, robotics, design and manufacturing, Feb. 18, 2008 .
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Published In
Jun 2018
2094 pages
Copyright © 2018.
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IEEE Press
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Published: 26 June 2018
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