Curvature Adaptive Control Based Path Following for Automatic Driving Vehicles in Private Area

doi:10.1007/s12204-021-2359-4

J Shanghai Jiaotong Univ Sci ›› 2021, Vol. 26 ›› Issue (5): 690-698.doi: 10.1007/s12204-021-2359-4

收稿日期:2020-11-05 出版日期:2021-10-26 发布日期:2021-10-28
通讯作者: YANG Ming? (杨明),?E-mail: mingyang@sjtu.edu.cn

Curvature Adaptive Control Based Path Following for Automatic Driving Vehicles in Private Area

SHI Qiang (师强), ZHANG Jianlin (张建林), YANG Ming∗ (杨明)

(Department of Automation; Key Laboratory of System Control and Information Processing of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China)

Received:2020-11-05 Online:2021-10-26 Published:2021-10-28

摘要/Abstract

Abstract: Path following refers to traveling along the desired path with automatic steering control, which is a crucial technology for automatic driving vehicles. Roads in private areas are highly irregular, resulting in a large curvature variation, which reduces the control accuracy of the path following. A curvature adaptive control (CAC) based path-following method was proposed to solve the problem mentioned above. Speci?cally, CAC takes advantage of the complementary characteristics in response to the path curvature ?uctuation of pure pursuit and front-wheel feedback and by combining the two methods further enhances the immunity of the control accuracy in response to a curvature ?uctuation. With CAC, the quantitative indices of the path curvature ?uctuation and control accuracy were constructed. The model between the path curvature ?uctuation and a dynamic parameter was identi?ed using the quantitative index of the control accuracy as the optimization target. The experimental results of a real vehicle indicate that the control accuracy of path following is further enhanced by its immunity in response to curvature ?uctuation improved by the CAC. In addition, CAC is easy to deploy and requires low demand for hardware resources.

Key words: automatic driving vehicles, path following, adaptive control

中图分类号:

TP 242.6

. [J]. J Shanghai Jiaotong Univ Sci, 2021, 26(5): 690-698.

SHI Qiang (师强), ZHANG Jianlin (张建林), YANG Ming∗ (杨明). Curvature Adaptive Control Based Path Following for Automatic Driving Vehicles in Private Area[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(5): 690-698.

参考文献 11

[1]	YANG C, GAO Y, AI Y F, et al. End-to-end parallel autonomous mining systems and key technologies [J]. Chinese Journal of Intelligent Science and Technology, 2019, 1(3): 228-240 (in Chinese).
[2]	ZHANG S Y, YANG Y S, LIANG C J, et al. Optimal control of multiple AGV path con?ict in automated terminals [J]. Journal of Transportation Systems Engi-neering and Information Technology, 2017, 17(2): 83-89 (in Chinese).
[3]	BOERSMA R, VAN AREM B, RIECK F. Applica-tion of driverless electric automated shuttles for public transport in villages: The case of Appelscha [J]. World Electric Vehicle Journal, 2018, 9(1): 15.
[4]	BAUML,ASSMANNT,STRUBELTH.Stateofthe art - Automated micro-vehicles for urban logistics [J]. IFAC-PapersOnLine, 2019, 52(13): 2455-2462.
[5]	CHENH Y, CHEN S P,GONGJW. Areview on the research of lateral control for intelligent vehicles [J]. Acta Armamentarii, 2017, 38(6): 1203-1214 (in Chinese).
[6]	MARINO R, SCALZI S, NETTO M. Nested PID steering control for lane keeping in autonomous ve-hicles [J]. Control Engineering Practice, 2011, 19(12): 1459-1467.
[7]	ZHAO X J, CHEN H Y. A study on lateral control method for the path tracking of intelligent vehicles [J]. Automotive Engineering, 2011, 33(5): 382-387 (in Chi-nese).
[8]	KUWATAY, TEO J, KARAMANS, et al. Motion planning in complex environments using closed-loop prediction [C]//AIAA Guidance, Navigation and Con-trol Conference and Exhibit. Honolulu, Hawaii: AIAA, 2008: 7166-7187.
[9]	SHAN Y X, YANG W, CHEN C, et al. CF-pursuit: A pursuit method with a clothoid ?tting and a fuzzy con-troller for autonomous vehicles [J]. International Jour-nal of Advanced Robotic Systems, 2015, 12(9): 134.
[10]	SAMSON C. Control of chained systems application to path following and time-varying point-stabilization of mobile robots [J]. IEEE Transactions on Automatic Control, 1995, 40(1): 64-77.
[11]	THRUNS,MONTEMERLO M,DAHLKAMPH,et al. Stanley: The robot that won the DARPA Grand Challenge [J]. Journal of Field Robotics, 2006, 23(9): 661-692. [12] WANG B Q, YANG M, WANG C X, et al. Path track-ing lateral control of self-driving vehicles based on the optimal state point [J]. Acta Automatica Sinica, 2019, 45(10): 1883-1892 (in Chinese).
[13]	SHEN C, GUO H Y, LIU F, et al. MPC-based path tracking controller design for autonomous ground vehicles [C]//2017 36th Chinese Control Conference (CCC ). Dalian: IEEE, 2017: 9584-9589.
[14]	VIVEK K, SHETA M A, GUMTAPURE V. A com-parative study of Stanley, LQR and MPC controllers for path tracking application (ADAS/AD) [C]//2019 IEEE International Conference on Intelligent Systems and Green Technology. Visakhapatnam: IEEE, 2019:
67	- 71.
[15]	KELLY A, NAGY B. Reactive nonholonomic trajec-tory generation via parametric optimal control [J]. The International Journal of Robotics Research, 2003, 22(7/8): 583-601. [16] BAE I, MOON J, PARK H, et al. Path generation and tracking based on a Be′zier curve for a steering rate controller of autonomous vehicles [C]//16th Interna-tional IEEE Conference on Intelligent Transportation Systems (ITSC 2013 ). The Hague: IEEE, 2013: 436-441.
[17]	PETROV P, NASHASHIBI F. Modeling and nonlinear adaptive control for autonomous vehicle overtaking [J]. IEEE Transactions on Intelligent Transportation Sys-tems, 2014, 15(4): 1643-1656.
[18]	FUNKE J, CHRISTIAN GERDES J. Simple clothoid lane change trajectories for automated vehicles incor-porating friction constraints [J]. Journal of Dynamic Systems, Measurement, and Control, 2016, 138(2): 021002.
[19]	LIXH,SUNZ P,CAOD P,etal. Developmentof a new integrated local trajectory planning and tracking control framework for autonomous ground vehicles [J]. Mechanical Systems and Signal Processing, 2017, 87:
11	8- 137.

Curvature Adaptive Control Based Path Following for Automatic Driving Vehicles in Private Area

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