DOI: 10.17587/prin.15.155-164

Calculation Model for Evaluating Suspensions during Maneuvers of a 4WD Vehicle with a 6x6 Wheels

S. M. Zuev, Associate Professor, PhD, Head of the department of optoelectronic devices and systems, MIREA — Russian Technology University, Moscow, 119454, Russian Federation, SSC RF FSUE NAMI, Moscow, 125438, Russian Federation, A. S. Shvecov, Postgraduate Student, Moscow Polytechnic University, Moscow, 107023, Russian Federation, S. E. Startseva, Specialist, JSC Obukhov plant, Saint Petersburg, 192012, Russian Federation

Corresponding author: Sergei M. Zuev, Associate Professor, PhD, Head of the department of optoelectronic devices and systems, MIREA — Russian Technology University, Moscow, 119454, Russian Federation, SSC RF FSUE "NAMI", Moscow, 125438, Russian Federation, E-mail: zuev@mirea.ru

The article describes the purpose, scope, main parameters of the flowchart of the procedure used to calculate control devices when comparing vehicle suspension structures with a 6x6 wheel arrangement. Methods for comparing suspensions during maneuvers are described. A description of the cab suspension system, a block diagram of the simulation program is presented. The visualization of the process of rebuilding the studied model of a 6*6 vehicle with two different types of front suspension is shown. An estimate of the load on the front and rear axles during the rebuilding for a period of time t = 5 s, their energy output and inertia is given. The distribution of the load along the axes of the investigated 6*6 vehicle model is presented when rebuilding with the front suspension of the first and second types. The coordinates of the base points of the front axle allow you to evaluate the numerical values for specific coordinates at a given point in time.

Keywords: vehicle suspension 6*6, modeling, MSC.ADAMS, load on the front and rear axles when changing lanes, axle load distribution

pp. 155–164

For citation:
Zuev S. M., Shvecov A. S., Startseva S. E. Calculation Model for Evaluating Suspensions during Maneuvers of a 4WD Vehicle with a 6x6 Wheels, Programmnaya Ingeneria, 2024, vol. 15, no 3, pp. 155—164. DOI: 10.17587/prin.15.155-164 (in Russian).

References:

• Ghazali M. Path-following and tire loss investigation of a front in-wheel-drive electric vehicle with off-center CG, Mechanism and Machine Theory, 2023, vol. 189. DOI: 10.1016/j.mechmach-theory.2023.105422.
• Koltsov V. B., Potemkin A. Ya., Konoplin N. A. et al. Physico-chemical modeling of technological processes - a modern way to create new resource-saving technologies. Nature Management, 2010, no. 3, pp. 98—102.
• Lavrikov A. A., Zuev S. M., Skvortsov A. A., Var-lamov D. O. Control of movement of a loosely coupled self-propelled modular transporter, Journal of Machinery Manufacture and Reliability, 2019, vol. 48, no. 1, pp. 20—25. DOI: 10.3103/S1052618819010114.
• Singh K. B., Arat M. A., Taheri S. Literature review and fundamental approaches for vehicle and tire state estimation, Vehicle System Dynamics, 2019, vol. 57, no. 11, pp. 1643—1665. DOI: 10.10 80/00423114.2018.1544373.
• Baffet G., Charara A., Lechner D. Estimation of vehicle sideslip, tire force and wheel cornering stiffness, Control Engineering Practice, 2009, no. 17, pp. 1255—1264, DOI: 10.1016/j.conengprac.2009.05.005.
• Makalsky L. M., Medvedev V. T., Sysoev V. S. et al. Analysis of the future energy strategy of Russia, Natural and technical sciences, 2018, no. 7(121), pp. 194—199.
• Plavelsky E. P., Sharapov R. R. The Problems of Dynamics of Wheeled Vehicles with Flow Able Building Cargo, Procedia Engineering, 2017, vol. 206, pp. 86—92, DOI: 10.1016/j.proeng.2017.10.442.
• Chen Y., Lu Y., Li H. Learning-Based Model Predictive Control of Autonomous Vehicles Using Boa, available at: https://ssrn.com/abstract=4432484. DOI: 10.2139/ssrn.4432484.
• Solis J. M., Longoria R. G. Modeling track—terrain interaction for transient robotic vehicle maneuvers, Journal of Terramechanics, 2008, vol. 45 (3), pp. 65—78. DOI: https://linkkk.org/10.1016/j. jterra.2008.07.003.
• Bekenov T., Nussupbek Zh.T., Sattinova Z. K., Tassybekov Zh.T. Substantiation of Methods for Calculating Indicators of the Redistribution of Traction Forces on Modular Front and Rear Wheels of the Car (4x4), аvailable at: https://ssrn.com/abstract=4404891, DOI: 10.2139/ssrn.4404891.
• Li Z., Wang P., Liu H. et al. Coordinated longitudinal and lateral vehicle stability control based on the combined-slip tire model in the MPC framework, Mechanical Systems and Signal Processing, 2021, no. 161. DOI: 10.1016/j.ymssp.2021.107947.
• Sirota N. N., Konoplin N. A., Soshnina T. M. Effect of pressure on polymorphic transitions in iron, Reports of the Academy of Sciences, 2005, vol. 405, no. 1, pp. 39—41.
• Hongyan G., Xu Z., Jun L. et al. A fusion estimation of the peak tire—road friction coefficient based on road images and dynamic information, Mechanical Systems and Signal Processing, 2023, vol. 189. DOI: 10.1016/j.ymssp.2022.110029.
• El Madany M. M., Abduljabbar Z. On the ride and attitude control of road vehicles. Computers & Structures, 1992, vol. 42 (2), pp. 245—253. DOI: 10.1016/0045-7949(92)90208-H.
• Junhong Z., Peng G., Jiewei L., Kainan W A mathemati­cal model for coupled vibration system of road vehicle and coupling effect analysis, Applied Mathematical Modelling, 2016, vol. 40 (2), pp. 1199—1217. DOI: 10.1016/j.apm.2015.07.012.
• Ieluzzi M., Turco P., Montiglio M. Development of a heavy truck semi-active suspension control, Control Engineering Practice, 2006, no. 14, pp. 305—312. DOI: 10.1016/j.conengprac.2005.03.019.
• Elmadany M. M., Abduljabbar Z. Design evaluation of advanced suspension systems for truck ride comfort, Computers & Structures, 1990, no. 36, pp. 321—331. DOI: 10.1016/0045-7949(90)90132-L.