基于双效滑模控制策略的轨迹跟踪仿真研究
Simulation Study of Trajectory Tracking Based on Dual-Effect Sliding Mode Control Strategy
DOI: 10.12677/MOS.2023.122082, PDF,   
作者: 郭婧博, 刘 飞：上海工程技术大学，机械与汽车工程学院，上海
关键词: 自动驾驶；滑模控制；轨迹跟踪；仿真验证；Autonomous Vehicle； SMC； Trajectory Tracking； Simulation Verification
摘要: 本文提出一种适用度较高的自动驾驶汽车轨迹跟踪控制策略。以车辆横向运动为控制目标，首先以车辆质心侧偏角、横摆角速度和横向位移为控制变量，构建三自由度车辆动力学模型。其次针对车辆行驶产生的横向偏差，采用滑模控制方法设计双效控制策略，计算补偿前轮转向角反馈给车辆，进而调整车辆跟踪精度。最后在双移线路径下进行仿真，并与传统Stanley方法进行对比分析，结果表明，所设计控制系统的跟踪策略不仅具有较好的鲁棒性，同时适用于急速转向等紧急工况，跟踪控制精度方面更是提升了20%~50%，打破了以往跟踪控制策略的局限性。
Abstract: This paper proposes a trajectory tracking control strategy for autonomous vehicles with high ap-plicability. Taking the lateral motion of the vehicle as the control target, firstly, a three-degree- of-freedom vehicle dynamics model is constructed with the vehicle center-of-mass lateral deviation angle, transverse swing angular velocity and lateral displacement as the control variables. Secondly, for the lateral deviation generated by the vehicle driving, the sliding mode control method is used to design a dual-effect control strategy to calculate the compensated front wheel steering angle feedback to the vehicle, and then adjust the vehicle tracking accuracy. The results show that the tracking strategy designed by the control system not only has good robustness, but also is suitable for emergency conditions such as rapid steering, and the tracking control accuracy is improved by 20%~50%, which breaks the limitations of the previous tracking control strategy.
文章引用：郭婧博, 刘飞. 基于双效滑模控制策略的轨迹跟踪仿真研究[J]. 建模与仿真, 2023, 12(2): 867-877. https://doi.org/10.12677/MOS.2023.122082

参考文献

[1] Wang, Y., et al. (2021) Self-Learning Control for Coordinated Collision Avoidance of Automated Vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 235, 1149-1163. [Google Scholar] [CrossRef] 
[2] Hayashi, R., et al. (2012) Autonomous Collision Avoidance System by Combined Control of Steering and Braking Using Geometrically Optimised Vehicular Trajectory. Vehicle System Dynamics, 50, 151-168. [Google Scholar] [CrossRef] 
[3] Rachael, J.A., Rault, A., Testud, J.L., et al. (1978) Model Predictive Heuristic Control: Application to an Industrial Process. Automatica, 14, 413-428. [Google Scholar] [CrossRef] 
[4] Khooban, M.H., Vafamand, N. and Niknam, T. (2016) T-S Fuzzy Model Predictive Speed Control of Electrical Vehicles. ISA Transactions, 64, 231-240. [Google Scholar] [CrossRef] [PubMed]
[5] Meshginqalam, A. and Bauman, J. (2020) Two-Level MPC Speed Pro-file Optimization of Autonomous Electric Vehicles Considering Detailed Internal and External Losses. IEEE Access, 8, 206559-206570. [Google Scholar] [CrossRef] 
[6] Li, S., Li, Z., Yu, Z., Zhang, B. and Zhang, N. (2019) Dynamic Trajectory Planning and Tracking for Autonomous Vehicle with Obstacle Avoidance Based on Model Predictive Control. IEEE Access, 7, 132074-132086. [Google Scholar] [CrossRef] 
[7] Zhang, C., Chu, D., Liu, S., Deng, Z., Wu, C. and Su, X. (2019) Trajectory Planning and Tracking for Autonomous Vehicle Based on State Lattice and Model Predictive Control. IEEE Intelli-gent Transportation Systems Magazine, 11, 29-40. [Google Scholar] [CrossRef] 
[8] Song, J. (2016) Ac-tive Front Wheel Steering Model and Controller for Integrated Dynamics Control Systems. International Journal of Automotive Technology, 17, 265-272. [Google Scholar] [CrossRef] 
[9] Yuan, H., Sun, X. and Gordon, T. (2019) Unified Decision-Making and Control for Highway Collision Avoidance Using Active Front Steer and Individual Wheel Torque Control. Vehicle System Dynamics, 57, 1188-1205. [Google Scholar] [CrossRef] 
[10] 刘金琨, 孙富春. 滑模变结构控制理论及其算法研究与进展[J]. 控制理论与应用, 2007, 24(3): 407-418.
[11] Tang, Q., Li, Y., Guo, R., Jin, D., Hong, Y. and Huang, H. (2021) Chatter-ing-Suppression Sliding Mode Control of an Autonomous Underwater Vehicle Based on Nonlinear Disturbance Observer and Power Function Reaching Law. Transactions of the Institute of Measurement and Control, 43, 2081-2093. [Google Scholar] [CrossRef] 
[12] Elmokadem, T., Zribi, M. and Youcef-Toumi, K. (2016) Trajectory Tracking Sliding Mode Control of Underactuated AUVs. Nonlinear Dynamics, 84, 1079-1091. [Google Scholar] [CrossRef] 
[13] Hu, C., Wang, R. and Yan, F. (2016) Integral Sliding Mode-Based Composite Nonlinear Feedback Control for Path Following of Four-Wheel Independently Actuated Autonomous Vehicles. IEEE Transactions on Transportation Electrification, 2, 221-230. [Google Scholar] [CrossRef] 
[14] Chen, D., et al. (2022) Output Feedback Sliding Mode Control for Path-Tracking of Autonomous Agricultural Vehicles. Nonlinear Dynamics, 110, 2429-2445. [Google Scholar] [CrossRef] 
[15] Ren, D., Zhang, J., Zhang, J. and Cui, S. (2011) Trajectory Planning and Yaw Rate Tracking Control for Lane Changing of Intelligent Vehicle on Curved Road. Science China Technological Sciences, 54, 630-642. [Google Scholar] [CrossRef] 
[16] Chen, T., Cai, Y., Chen, L., Xu, X. and Sun, X. (2021) Trajectory Tracking Control of Steer-by-Wire Autonomous Ground Vehicle Considering the Complete Failure of Vehicle Steering Motor. Simulation Modelling Practice and Theory, 109, Article ID: 102235. [Google Scholar] [CrossRef] 
[17] Ahn, T., Lee, Y. and Park, K. (2021) Design of Integrated Autonomous Driving Control System That Incorporates Chassis Controllers for Improving Path Tracking Performance and Vehicle Stability. Electronics, 10, 144. [Google Scholar] [CrossRef] 
[18] Sun, T., Guo, H., Cao, J.Y., Chai, L.J. and Sun, Y.D. (2013) Study on Integrated Control of Active Front Steering and Direct Yaw Moment Based on Vehicle Lateral Velocity Estimation. Mathemati-cal Problems in Engineering, 2013, Article ID: 275269. [Google Scholar] [CrossRef] 
[19] Nam, K., Oh, S., Fu-jimoto, H. and Hori, Y. (2012) Robust Yaw Stability Control for Electric Vehicles Based on Active Front Steering Control through a Steer-by-Wire System. International Journal of Automotive Technology, 13, 1169-1176. [Google Scholar] [CrossRef] 
[20] 王鑫, 凌铭, 饶启鹏, 刘畅, 翟树龙. 基于改进Stanley算法的无人车路径跟踪融合算法研究[J]. 汽车技术, 2022(7): 25-31. [Google Scholar] [CrossRef] 

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