An Optimal Wheel Torque Distribution Controller for Automated Vehicle Trajectory Following

被引:29
作者
Hsu, Ling-Yuan [1 ]
Chen, Tsung-Lin [1 ]
机构
[1] Natl Chiao Tung Univ, Dept Mech Engn, Hsinchu 30010, Taiwan
关键词
Automated vehicle trajectory following; control distribution; differential torque controls; Karush-Kuhn-Tucker (KKT) theorem; optimization; sliding-mode controls; vehicle control systems; STABILITY CONTROL; SYSTEM; DYNAMICS; DESIGN;
D O I
10.1109/TVT.2013.2246593
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes an automated vehicle trajectory following system that uses four constrained wheel torques to regulate a vehicle on a reference trajectory. The constrained wheel torques can be achieved using the two-wheel drive and differential brakes. The proposed control algorithm is developed using the following steps. First, the sliding-mode control is used to find stability constraints for trajectory following when the vehicle system is subjected to modeling errors. Second, these stability constraints, along with other actuator constraints, are particularly tuned for the proposed control distribution method. The proposed control distribution method determines four longitudinal tire forces and minimizes actuator control efforts. Finally, these tire forces are converted to traction/braking wheel torques. The proposed method has the following advantages: 1) It achieves both robust trajectory following and optimal control efforts, 2) the optimal control effort is obtained analytically instead of from a numerical search, and 3) the robust performance of this vehicle control system can be theoretically verified. The proposed method is evaluated using numerical simulations on two front-drive vehicle models: a full-state vehicle model and a sedan model from the Carsim commercial software. The simulation results indicate that, in both cases, the proposed method can regulate the vehicle to finish a "double-lane change" when the vehicle is moving at an initial speed of 90 km/h. The maximum lateral acceleration is 6.56 m/s(2), and the regulated position error is less than 6.9 cm.
引用
收藏
页码:2430 / 2440
页数:11
相关论文
共 50 条
  • [21] A non-overshooting controller for vehicle path following
    Xu, Tong
    Wang, Dong
    Zhang, Weigong
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2021, 43 (10) : 2282 - 2291
  • [22] An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles
    Cao, Haotian
    Zhao, Song
    Song, Xiaolin
    Bao, Shan
    Li, Mingjun
    Huang, Zhi
    Hu, Chuan
    [J]. VEHICLE SYSTEM DYNAMICS, 2019, 57 (09) : 1287 - 1317
  • [23] An optimal model-based trajectory following architecture synthesising the lateral adaptive preview strategy and longitudinal velocity planning for highly automated vehicle
    Cao, Haotian
    Song, Xiaolin
    Zhao, Song
    Bao, Shan
    Huang, Zhi
    [J]. VEHICLE SYSTEM DYNAMICS, 2017, 55 (08) : 1143 - 1188
  • [24] Trajectory Following Control Based on Vehicle to Vehicle Communication
    Fan Shiqi
    Ma Jie
    Zhao Zhenyuan
    Huang Zichao
    Wu Qing
    [J]. 3RD INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2015), 2015, : 375 - 379
  • [25] Wheel Torque Distribution Control Strategy for Electric Vehicles Dynamic Performance With an Electric Torque Vectoring Drive Axle
    Gao, Shoulin
    Wang, Junnian
    Guan, Changyang
    Zhou, Zidong
    Liu, Zhe
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (01): : 1692 - 1705
  • [26] Gain-scheduled model predictive controller for vehicle-following trajectory generation for autonomous vehicles
    Yacoub, Mostafa
    Antkiewicz, Michal
    Czarnecki, Krzysztof
    Mcphee, John
    [J]. VEHICLE SYSTEM DYNAMICS, 2024,
  • [27] Experimental Study and Modeling of the Lower-Level Controller of Automated Vehicle
    Liu, Hua-Qing
    Zheng, Shi-Teng
    Jiang, Rui
    Tian, Junfang
    Yan, Ruidong
    Zhang, Fang
    Zhang, Dezhao
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (11) : 11733 - 11742
  • [28] Coordinated torque distribution method of distributed drive electric vehicle to reduce control intervention sense
    Zhang, Zhiyong
    Yu, Jiadong
    Huang, Caixia
    Du, Ronghua
    [J]. VEHICLE SYSTEM DYNAMICS, 2024, 62 (01) : 198 - 221
  • [29] Simultaneous Observation of the Wheel Torque and Tire Force as well as the Vehicle Speeds
    Ouahi, Mohamed
    Saka, Abdelmjid
    [J]. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2019, 30 (02) : 229 - 241
  • [30] Online optimal midcourse trajectory modification algorithm for hypersonic vehicle interceptions
    Zhou, Jin
    Lei, Humin
    Zhang, Dayuan
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 63 : 266 - 277