An Algorithm for Determining the Actual Speed of a Wheeled Vehicle to Ensure the Operation of an Automated Control System
Authors: Lobusov E.S., Zhileykin M.M. | Published: 06.07.2017 |
Published in issue: #7(688)/2017 | |
Category: Transportation and Power Engineering | |
Keywords: automated control system, algorithm for determining the actual speed, wheeled vehicle, planar movement |
This paper discusses issues related to designing an automated control system for a wheeled vehicle that entails obtaining reliable information about quantitative parameters of movement as well as predicting and diagnosing emergency situations (roll-over, skidding, etc.) There is extensive literature on the topic, mainly of foreign origin, that details the development and implementation of such systems. However, the models describing the interaction of the wheeled vehicle with the environment are rather complex and contain a large number of experimental parameters that have a high degree of uncertainty. Planar movement of the wheeled vehicle equipped with a standard set of instruments (accelerometers, sensors measuring angular velocity and steering wheel deviation angle) is considered. The difference between the theoretical speed of movement of the center of mass and a corresponding real speed of the vehicle is used as an indicator characterizing the movement of the wheeled vehicle. The former is determined by the geometrical parameters of the vehicle and the angles of wheel deviation, the latter requires measuring the real speed. It is proposed to implement an algorithm that estimates the actual speed based on the readings of accelerometers, the accuracy of which is ensured by periodic stopping of the vehicle.
References
[1] Ungoren A.Y., Peng H., Tseng H.E. A study on lateral speed estimation methods. International Journal of Vehicle Autonomous Systems, 2004, vol. 2, no. 1/2, pp.126–144.
[2] Karogal I., Ayalew B. Independent Torque Distribution Strategies for Vehicle Stability Control. SAE Technical Papers, 2009, doi: 10.4271/2009-01-0456.
[3] Hiemer M., Von Vietinghoff A., Kiencke U., Matsunaga T. Determination of the vehicle body slip angle with non-linear observer strategies. Proc. SAE World Congress, Detroit, MI, 2005, paper no. 2005-01-0400.
[4] Best M.C., Gordon T.J., Dixon P.J. An extended adaptive Kalman filter for real-time state estimation of vehicle handling dynamics. Vehicle System Dynamics, 2000, vol. 34, no. 1, pp. 57–75.
[5] Klier W., Reim A., Stapel D. Robust estimation of vehicle sideslip angle–an approach w/o vehicle and tire models. Proc. SAE World Congress, Detroit, MI, 2008, paper no. 2008-01-0582.
[6] Sentouh C., Sebsadji Y., Mammar S., Glaser S. Road bank angle and faults estimation using unknown input proportional-integral observer. Proc. Eur. Contr. Conf., Greece, Kos, 2007, pp. 5131–5138.
[7] Imsland L., Grip H.F., Johansen T.A., Fossen T.I., Kalkkuhl J.C., Suissa A. Nonlinear observer for vehicle velocity with friction and road bank angle adaptation–validation and comparison with an extended Kalman filter. Proc. SAE World Congress, Detroit, MI, 2007, paper no. 2007-01-0808.
[8] Imsland L., Johansen T.A., Grip H.F., Fossen T.I. On non-linear unknown input observers-applied to lateral vehicle velocity estimation on banked roads. International Journal of Control, 2007, vol. 80, no. 11, pp. 1741–1750.
[9] Zhileikin M.M., Chuliukin A.O. Algoritm raboty sistemy dinamicheskoi stabilizatsii dlia avtomobilia 4×4 s podkliuchaemoi zadnei os’iu [Algorithm of Dynamic Stabilization System for a Car 4×4 with a Link Rear Axle]. Nauka i obrazovanie. MGTU im. N.E. Baumana [Science and Education. Bauman MSTU]. 2014, no. 4. Available at: http://technomag.bmstu.ru/doc/704685.html (accessed 10 Match 2017), doi: 10.7463/0414.0704685.
[10] Ryu J., Gerdes J.C. Estimation of vehicle roll and road bank angle. Proceedings of the American Control Conference, Boston, MA, United States, June 30 2004–July 2, 2004, vol. 3, pp. 2110–2115.
[11] Zhileikin M.M. Teoreticheskie osnovy povysheniia pokazatelei ustoichivosti i upravliaemosti kolesnykh mashin na baze metodov nechetkoi logiki [The theoretical basis for improving sustainability performance, and manageability-wheeled vehicles on the basis of fuzzy logic techniques]. Moscow, Bauman Press, 2016. 238 p.