The study of “real-time” simulation of planar curvilinear motion of six-wheel drive vehicle

N. V. Buzunov

Izvestiya MGTU MAMI ›› 2016, Vol. 10 ›› Issue (3) : 2 -8.

PDF
Izvestiya MGTU MAMI ›› 2016, Vol. 10 ›› Issue (3) : 2 -8. DOI: 10.17816/2074-0530-66881
Articles
research-article

The study of “real-time” simulation of planar curvilinear motion of six-wheel drive vehicle

Author information +
History +
PDF

Abstract

The main focus of this research is to verify the mathematical model of the vehicle motion, which operation is carried out in real time. The subject of this study is the model, which describes planar curvilinear motion of six-wheel drive vehicle. Correct operation of this model is based on the methods and criteria currently used in the foreign and domestic research. The estimating parameters for the model are the linear and angular kinematic characteristics of planar motion of the vehicle. The assessment criterion is the value of relative error no more than 10% when comparing at the same time the parameters of the model with the parameters of the reference model, which correctness of operation is confirmed by the results of experiments on the real object. Research is carried out in several stages at different driving modes and various parameters of the simulation. The duration of the test "races" is 30 sec. At the end of each race the comparison of the results with the data of "reference" model is made and determination of relative error of simulation and its comparison with the established criterion of correctness are done. According to the study was found out that the mentioned real-time verification of the model satisfies a predetermined criterion of verification when using step of no more than 0,001 sec. By increasing the steps of realization there are significant deviations of the model parameters on the results of "reference" model, in this case, the real-time model can be used to address a limited range of purposes. Reducing simulation step facilitates approximation to the behavior of the test object to the "reference" but in real-time operation this approach requires a significant increase in computing power.

Keywords

real-time simulation / verification of the mathematical model / curvilinear movement of vehicle car

Cite this article

Download citation ▾
N. V. Buzunov. The study of “real-time” simulation of planar curvilinear motion of six-wheel drive vehicle. Izvestiya MGTU MAMI, 2016, 10(3): 2-8 DOI:10.17816/2074-0530-66881

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Drogies S., Bauer M. Modeling Road Vehicle Dynamics with Modelica // Modelica Workshop 2000 Proceedings. 2000. № 1. pp. 161-168.

[2]

Михайлов В.В., Жук И.В., Вербицкий А.В., Солодкая М.Г. Верификация математической модели для расчета нагрузок в контакте колес автомобиля с неровной поверхностью дороги // Механика машин, механизмов и материалов. 2011. № 2(15). С. 18-23.

[3]

Кончак В.С., Петько В.И., Харитончик С.В., Колесникович А.Н., Лазакович С.П., Хитриков С.В., Николаев Ю.И. Моделирование плавности хода грузовых многоосных автомобилей // Известия МГТУ "МАМИ". 2009. № 2(8). С. 46-52.

[4]

Choi G.J., Yoo Y.M., Lees K.P., Yoon Y.S. A real-time multibody vehicle dynamic analysis method using suspension composite joints // International Journal of Vehicle Design. 2000. № 24. pp. 259-273.

[5]

Gyoojae C. Efficient solving methods exploiting sparsity of matrix in real-time multibody dynamic simulation with relative coordinate formulation / C. Gyoojae, Y. Yungmyun, I. Jongsoon // Journal of Mechanical Science and Technology. 2001. № 15. pp. 1090-1096.

[6]

Ahmad F., Mazlan S.A., Zamzuri H. Modelling and Validation of the vehicle longitudinal model // International Journal of Automotive and Mechanical Engineering (IJAME). 2014. № 10. pp. 2042-2056.

[7]

Sung-Soo K., Jeong W. Subsystem synthesis method with approximate function approach for a real-time multibody vehicle model // Multibody System Dynamics. 2007. № 17. pp. 141-156.

[8]

Weidong P., Papelis Y.E. Real-time dynamic simulation of vehicles with electronic stability control: Modeling and validation // International Journal of Vehicle Systems Modelling and Testing. 2005. № 1. pp. 143-167.

[9]

Горелов В.А., Котиев Г.О., Бекетов А.А. Математическая модель движения вездеходного транспортного средства // Журнал автомобильных инженеров. 2008. № 1. С. 50-54.

[10]

Котиев Г.О. Метод прогнозирования нагруженности элементов системы подрессоривания транспортных гусеничных машин: дис.. канд. техн. наук. М., 1993. 132 с.

[11]

Бузунов Н.В., Котиев Г.О., Мирошниченко А.В. Совершенство методов разработки бортовых информационно-управляющих систем колесных и гусеничных машин // Журнал автомобильных инженеров. 2015. № 4. С. 11-15.

RIGHTS & PERMISSIONS

Buzunov N.V.

AI Summary AI Mindmap
PDF

150

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/