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Study on Steering Angle Input during the Automated Lane Change of Electric Vehicle
Technical Paper
2017-01-1962
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The trajectory planning and the accurate path tracking are the two key technologies to realize the intelligent driving. The research of the steering wheel angle plays an important role in the path tracking. The purpose of this study is to optimize the steering wheel angle input during the automated lane changing. A dynamic programming approach to trajectory planning is proposed in this study, which is expected to not only achieve a quick reaction to the changing driving environment, but also optimize the balance between vehicle performance and driving efficiency. First of all, the lane changing trajectory is planned based on the positive and negative trapezoidal lateral acceleration method. In addition, the multi-objective optimization function is built which includes such indexes: lateral acceleration, lateral acceleration rate, yaw rate, lane changing time and lane changing distance. The fuzzy logic controller is designed to distribute the weight coefficient in multi-objective function, which can adapt to different real situations. Subsequently, the optimal steering angle can be derived when the obtained optimum trajectory curve is used as the input of the driver model which based on the preview follower theory. Finally, the vehicle model is built to examine the proposed method using the obtained steering angle as the simulation input. Simulation results demonstrate that the proposed method can guarantee the comfort of the vehicle and the position tracking simultaneously. Additionally, the novel method can make a good balance between the safety and comfort of the passengers.
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Li, H. and Luo, Y., "Study on Steering Angle Input during the Automated Lane Change of Electric Vehicle," SAE Technical Paper 2017-01-1962, 2017, https://doi.org/10.4271/2017-01-1962.Data Sets - Support Documents
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References
- Perez J. , Milanes V. , Onieva E. , and Godoy J. Longitudinal fuzzy control for autonomous overtaking IEEE International Conference on Mechatronics 2011 188 193 10.1109/ICMECH.2011.5971279
- Zhang S. , Deng W. , Zhao Q. , Sun H. , and Litkouhi B. Dynamic trajectory planning for vehicle autonomous driving IEEE International Conference on Systems Man, and Cybernetics 2013 4161 4166 10.1109/SMC.2013.709
- Zhang S. , Deng W. , Zhao Q. , and Sun H. An intelligent driver model with trajectory planning International IEEE Conference on Intelligent Transportation Systems 2012 876 881 10.1109/ITSC.2012.6338651
- Lacaze A. , Moscovitz Y. , Declaris N. , and Murphy K. Path planning for autonomous vehicles driving over rough terrain Intelligent Control 1998 50 55 10.1109/ISIC.1998.713634
- Coombs D. , Murphy K. , Lacaze A. , and Legowik S. Driving autonomously off-road up to 35 km/h Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE 2000 186 191 10.1109/IVS.2000.898339
- Thompson S. and Kagami S. Continuous curvature trajectory generation with obstacle avoidance for car-like robots Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on 2005 863 870 10.1109/CIMCA.2005.1631373
- Jolly K. G. , Sreerama Kumar R. , and Vijayakumar R. A Bezier curve based path planning in a multi-agent robot soccer system without violating the acceleration limits Robotics & Autonomous Systems 57 23 33 2008
- Jalali , K. , Lambert , S. , and McPhee , J. Development of a Path-following and a Speed Control Driver Model for an Electric Vehicle SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 5 1 100 113 2012 10.4271/2012-01-0250
- Ji J. , Khajepour A. , Melek W. , and Huang Y. Path planning and tracking for vehicle collision avoidance based on model predictive control with multi-constraints IEEE Transactions on Vehicular Technology 952 964 2016 10.1109/TVT.2016.2555853
- Naranjo J. E. , Gonzalez C. , Garcia R. , and Pedro T. D. Lane-change fuzzy control in autonomous vehicles for the overtaking maneuver IEEE Transactions on Intelligent Transportation Systems 9 438 450 2008 10.1109/TITS.2008.922880
- Hatipoglu C. , Ozguner U. , and Redmill K. A. Automated lane change controller design IEEE Transactions on Intelligent Transportation Systems 4 13 22 2003 10.1109/TITS.2003.811644
- You F. , Zhang R. , Lie G. , Wang H. , Wen H. , and Xu J. Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system Expert Systems with Applications An International Journal 42 5932 5946 2015
- Ren D. B. , Zhang J. Y. , Zhang J. M. , and Cui S. M. Trajectory planning and yaw rate tracking control for lane changing of intelligent vehicle on curved road Science China Technological Sciences 54 630 642 2011 10.1007/s11431-010-4227-6
- Yao B. , Hu P. , Zhang M. , and Wang S. Artificial bee colony algorithm with scanning strategy for the periodic vehicle routing problem Simulation 89 76 770 2013 10.1177/0037549713481503
- Guo L. , Ge P. S. , Yue M. , and Zhao Y. B. Lane changing trajectory planning and tracking controller design for intelligent vehicle running on curved road Mathematical Problems in Engineering 2014 1 9 2014 10.1155/2014/478573
- Feng J. , Ruan J. , and Li Y. Study on intelligent vehicle lane change path planning and control simulation IEEE International Conference on Information Acquisition 2006 683 688 10.1109/ICIA.2006.305809
- Jalali , K. , Uchida , T. , McPhee , J. , and Lambert , S. Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 6 1 241 254 2013 10.4271/2013-01-0688
- Ding H. T. , Guo K. H. , Li F. , and Zhang J. W. Arbitrary path and speed following driver model based on vehicle acceleration feedback Journal of Mechanical Engineering 46 116 120 2010 10.3901/JME.2010.10.116
- Khalate A. A. , Leena G. , and Ray G. An adaptive fuzzy controller for trajectory tracking of robot manipulator Intelligent Control & Automation 02 364 370 2011 10.4236/ica.2011.24041