Analytical review of approaches to control over longitudinal and lateral dynamics of an autonomous vehicle
https://doi.org/10.51187/0135-3152-2023-1-82-90
Abstract
Introduction (problem statement and relevance). One of the major tasks when autonomous vehicle motion implementing is control over the vehicle actuating mechanisms to complete the requests from the controllers responsible for the motion trajectory planning. Currently, the longitudinal dynamics control is performed by controlling the torque on the wheels from the power unit and braking system, while the lateral control is performed through steering control. The paper considers the existing approaches to motion control for vehicles of diff erent automation levels and diff erent types of controllers with their advantages and disadvantages.
The purpose of the study is to conduct the analytical review of the approaches being used to control longitudinal and lateral dynamics of an autonomous vehicle, to compare the regularities and logic of the solutions being used and the vehicle theory, and to specify the main issues and problems of autonomous vehicle dynamics control.
Methodology and research methods. Analytical research method: analysis of domestic and foreign technical literature suggesting the approaches to control autonomous vehicle actuating mechanisms.
Scientifi c novelty and results. Analysis of the approaches when forming the algorithms to control autonomous vehicle actuating mechanisms has been performed and the regularities and logic of solutions being used and the vehicle theory have been compared. As a result of the analysis, a conclusion has been made that there are no approaches of controller synthesis to control actuating mechanisms of a highly automated vehicle, the structure of which is theoretically substantiated when solving the control problem taking into account the vehicle theory, optimal control principles and adaptive control principles.
Practical signifi cance. The research results can be used when setting the task to develop lower level control systems using the quality functional where the controller synthesis is made following the results of solving the control task based on the vehicle theory, optimal control principles and adaptive control principles, and the controller structure is theoretically substantiated.
About the Author
D. T. Yusupov
Federal State Unitary Enterprise “Central Scientifi c Research Automobile and Automotive Engines Institute”
(FSUE “NAMI”)
Russian Federation
Russian Federation
Yusupov D.T. – postgraduate, leading engineer of the center “Intellectual systems”
Moscow 125438
References
1. National Highway Traffi c Safety Administration (NHTSA): Automated Driving Systems: A Vision for Safety. U.S. Department of Transportation, DOT HS 812 442, September 2017.
2. Gintsburg L.L. [Vehicle stability and control. Virtual Analysis: Monograph]. Moscow, FSUE “NAMI” Publ., 2013. 272 p. (In Russian)
3. Lienke C., Schmidt M., Wissing C., Keller M., Manna C., Nattermann T., Bertram T. Core components of automated driving – algorithms for situation analysis, decision-making, and trajectory planning. In: Bertram, T. (ed.): Automatisiertes Fahren 2019 (Tagungsband). Wiesbaden: Springer Vieweg, 2019, pp. 195–215.
4. Attia R., Orjuela R., Basset M. Longitudinal Control for Automated Vehicle Guidance. IFAC Proceeding Volumes, 2012, vol. 45, iss. 30, pp. 65–71.
5. Rajamani R. Vehicle Dynamics and Control. University of Minnesota, USA, 2006. 497 р.
6. Yurevich E.I. [Theory of automatic control. Textbook for students of higher education]. Leningrad, Energiya Publ., 1975. 416 p. (In Russian)
7. Samak C., Samak T., Kandhasamy S. Control Strategies for Autonomous Vehicles. Autonomous Systems Laboratory Department of Mechatronics Engineering SRM Institute of Science and Technology. Available at: https://arxiv.org/pdf/2011.08729.pdf (accessed 13 May 2022).
8. Filho C.M., Wolf D.F., Grassi V.Jr., Osorio F.S. Longitudinal and Lateral Control for Autonomous Ground Vehicles. IEEE Intelligent Vehicles Symposium (IV) June 8-11, 2014. Dearborn, Michigan, USA.
9. Tiwari T., Agarwal S., Etar A. Controller Design for Autonomous Vehicle. 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
10. Besekerskiy V.A., Popov E.P. [Theory of automatic control systems]. Saint Petersburg, Professiya Publ., 2003. 752 p. (In Russian)
11. Jain Y.M. Comparison of Model-Predictive control and PID control for Adaptive Cruise Control of UW Eco- CAR vehicle. A thesis submitted in partial fulfi llment of the requirements for the degree of Master of Science in Mechanical Engineering, University of Washington, 2020.
12. Ko S.-J., Lee J.-J. Fuzzy Logic Based Adaptive Cruise Control with Guaranteed String Stability. International Conference on Control, Automation and Systems, Oct. 17-20, 2007 in COEX, Seoul, Korea.
13. Kim H.M., Dickerson J., Kosko B. Fuzzy throttle and brake control for platoons of smart. Cars. Fuzzy Sets and Systems, 1996, pp. 209–234.
14. Sheikholeslam S., Charles A. Longitudinal Control of a Platoon of Vehicles with no Communication of Lead Vehicle Information: A System Level Study. IEEE Trans. Veh. Technol., 1993, vol. 42, pp. 546–554.
15. Petin V.V., Keller A.V. Description and tests of a control system for automatic emergency braking of a car with an algorithm for predicting the adhesion of automobile tires to the road surface. Journal of Physics: Conference Series: International Conference on Actual Issues of Mechanical Engineering (AIME 2021), Novorossiysk, 15–16 June 2021, IOP Publishing. Novorossiysk: IOP Publishing LTD, Temple Circus, Temple Way, Bristol, England, BS1 6BE, 2021, pp. 012100. EDN GEHHTU.
16. Cai L., Rad A., Chan W. An Intelligent Longitudinal Controller for Application in Semiautonomous Vehicles. IEEE Trans. Ind. Electron., 2010, vol. 57, pp. 1487–1497.
17. Ferrera A., Pisu P. Minimum Sensor Second-Order Sliding Mode Longitudinal Control of Passenger Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2004, vol. 5, no. 1, march.
18. Devineau G., Polack P., Altche F., Fabien M. Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning. 21st International Conference on Intelligent Transportation Systems (ITSC), 2018.
19. Dominguez S., Alan Ali A., Garcia G., Martinet P. Comparison of lateral controllers for autonomous vehicle: experimental results. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Windsor Oceanico Hotel, Rio de Janeiro, Brazil, November 1-4, 2016.
20. Canale M., Fagiano L., Ferrara A., Vecchio C. Vehicle Yaw Control via Second-Order Sliding-Mode Technique. IEEE Transactions on Industrial Electronics, 2008, vol. 55, no. 11, pp. 3908–3916.
21. Chaib S., Netto M.S., Mammar S. H∞, adaptive, PID and fuzzy control: a comparison of controllers for vehicle lane keeping. Intelligent Vehicles Symposium, 2004, pp. 139–144.
22. Snider J.M. Automatic Steering Methods for Autonomous Automobile Path Tracking. tech. report CMU-RI-TR-09-08, Robotics Institute, Carnegie Mellon University, February, 2009.
23. Shadrin S.S. [Methodology for creating traffi c control systems for autonomous wheeled vehicles integrated into an intelligent transport environment. Dr. sci. eng. diss.]. Moscow, MADI, 2017. 400 p. (In Russian)
24. Buznikov S.E., Endachev D.V., Elkin D.S., Strukov V.O. [The problem of stabilizing an unmanned vehicle on a given trajectory]. [International Automotive Scientifi c Forum IASF-2017 “Intelligent Transport Systems”: collection of scientifi c papers, Moscow, October 18–19, 2017]. Moscow, FSUE “NAMI”, 2017, pp. 166–177. (In Russian)
25. Chebly A., Taji R., Charara A. Coupled Longitudinal and Lateral Control for an Autonomous Vehicle Dynamics Modeled Using a Robotics Formalism, IFAC PapersOnLine 50-1 (2017) 12526-125-32.
26. Bae I., Moon J., Cha J. Integrated Lateral and Longitudinal Control System for Autonomous Vehicles. IEEE 17th International Conference on Intelligent Transportation Systems (ITSC) October 8-11, 2014, Qingdao, China.
27. Zhao J., El Kamel A. Integrated Longitudinal and Lateral Control System Design for Autonomous Vehicles. IFAC Proceeding Volumes, 2009, vol. 42, iss. 19, pp. 496–501.
28. Aleksandrov A.G. [Optimal and adaptive systems]. Moscow, Vysshaya shkola Publ., 1989. 263 p. (In Russian)
Review
For citations:
Yusupov D.T. Analytical review of approaches to control over longitudinal and lateral dynamics of an autonomous vehicle. Trudy NAMI. 2023;(1):82-90. (In Russ.) https://doi.org/10.51187/0135-3152-2023-1-82-90
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