A Method of Determining Motion Parameters of Two-Axle Wheeled Vehicles to Ensure the Operation of the Dynamic Stability System
Authors: Ankinovich G.G., Verzhbitskiy A.N., Zhileykin M.M. | Published: 18.04.2017 |
Published in issue: #4(685)/2017 | |
Category: Transportation and Power Engineering | |
Keywords: two-axle wheeled vehicle, dynamic stability system, front axle skid, rear axle skid, velocity vector |
Controllability and stability of the vehicle are the most important performance properties and safety components. The significance of work on improving these properties is recognized worldwide. One of the major problems in the development of algorithms of operation of active safety systems is obtaining reliable information about the quantitative values of the parameters of motion of a wheeled vehicle. This information is required to assess how these parameters match the indicators specified by the driver, to predict the time of occurrence of abnormal situations and to diagnose these situations (for example, a skid of the front or rear axles, a tipping hazard, etc.). One of the most commonly used parameters characterizing the conditions of motion of wheeled vehicles, is the angle of deviation of the actual speed vector of the center of mass from its theoretical (kinematic) speed vector. However, determining the direction of the actual speed vector of the center of mass is associated with high computational difficulties due to the need to build complex predictive Kalman filters. The authors propose a method of determining the parameters of motion of two-axle wheeled vehicles to ensure the operation of the dynamic stability system. Using this method, it is possible to diagnose the skidding of the front or rear axles reliably and economically. The feasibility of the proposed method is demonstrated by the tests simulating motion of two-axle vehicles with front and rear driving axles.
References
[1] Belousov B.N., Popov S.D. Kolesnye transportnye sredstva osobo bol’shoi gruzopod’’emnosti. Konstruktsiia. Teoriia. Raschet [Wheeled vehicles especially big load capacity. Design. Theory. Payment]. Moscow, Bauman Press, 2006. 728 p.
[2] 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.
[3] Karogal I., Ayalew B. Independent Torque Distribution Strategies for Vehicle Stability Control. SAE Technical Papers, 2009. doi: 10.4271/2009-01-0456.
[4] Hiemer M., Von Vietinghoff A., Kiencke U., Matsunaga T. Determination of the vehicle body slip angle with non-linear observer strategies. SAE World Congress, Detroit, MI, US, 11–14 April 2005, paper no. 2005-01-0400.
[5] 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.
[6] Klier W., Reim A., Stapel D. Robust estimation of vehicle sideslip angle – an approach w/o vehicle and tire models. SAE World Congress, Detroit, MI, US, 14–17 April 2008, paper no. 2008-01-0582.
[7] Sentouh C., Sebsadji Y., Mammar S., Glaser S. Road bank angle and faults estimation using unknown input proportional-integral observer. 9th European Control Conference, 2007, Kos International Convention Center, Kos, Greece, 2–5 July 2007, code 111730, pp. 5131–5138.
[8] 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. SAE World Congress, Detroit, MI, US, 16–19 April 2007, paper no. 2007-01-0808.
[9] 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, is. 11, pp. 1741–1750.
[10] Larin V.V. Teoriia dvizheniia polnoprivodnykh kolesnykh mashin [Theory of motion of four-wheel drive wheeled vehicles]. Moscow, Bauman Press, 2010. 391 p.
[11] 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 4х4 with a Link Rear Axle]. Nauka i obrazovanie. MGTU imeni N.E. Baumana [Science and Education. Bauman Moscow State Technical University]. 2014, no. 4. Available at: http://technomag.bmstu.ru/doc/704685.html (accessed 20 August 2014). doi: 10.7463/0414.0704685.
[12] Ryu J., Gerdes J.C. Estimation of vehicle roll and road bank angle. American Control Conference, 2004, vol. 3, pp. 2110–2115.
[13] Vakhlamov V.K. Avtomobili. Ekspluatatsionnye svoistva [Cars. Operational properties]. Moscow, Akademiia publ., 2006. 240 p.
[14] Zhileikin M.M. Teoreticheskie osnovy povysheniia pokazatelei ustoichivosti i upravliaemosti kolesnykh mashin na baze metodov nechetkoi logiki [Theoretical bases of increase of indicators of stability and controllability of the wheeled vehicle based on fuzzy logic methods]. Moscow, Bauman Press, 2016. 238 p.