Enhanced Fixed Wing UAV Navigation in Extended GNSS Outages using a Vehicle Dynamics Model and Raw GNSS Observables

Author(s):  
Hery A. Mwenegoha ◽  
Terry Moore ◽  
James Pinchin ◽  
Mark Jabbal
Author(s):  
F Chang ◽  
Z-H Lu

It is worthwhile to design a more accurate dynamic model for air springs, to investigate the dynamic behaviour of an air spring suspension, and to analyse and guide the design of vehicles with air spring suspensions. In this study, a dynamic model of air spring was established, considering the heat transfer process of the air springs. Two different types of air spring were tested, and the experimental results verified the effectiveness of the air spring model compared with the traditional model. The key factors affecting the computation accuracy were studied and checked by comparing the results of the experiments and simulations. The new dynamic model of the air spring was integrated into the full-vehicle multi-body dynamics model, in order to investigate the air suspension behaviour and vehicle dynamics characteristics. The co-simulation method using ADAMS and MATLAB/Simulink was applied to integration of the air spring model with the full-vehicle multi-body dynamics model.


Author(s):  
S. C¸ag˘lar Bas¸lamıs¸lı ◽  
Selim Solmaz

In this paper, a control oriented rational tire model is developed and incorporated in a two-track vehicle dynamics model for the prospective design of vehicle dynamics controllers. The tire model proposed in this paper is an enhancement over previous rational models which have taken into account only the peaking and saturation behavior disregarding all other force generation characteristics. Simulation results have been conducted to compare the dynamics of a vehicle model equipped with a Magic Formula tire model, a rational tire model available in the literature and the present rational tire model. It has been observed that the proposed tire model results in vehicle responses that closely follow those obtained with the Magic Formula even for extreme driving scenarios conducted on roads with low adhesion coefficient.


2020 ◽  
Vol 28 (12) ◽  
pp. 859-864
Author(s):  
Jae-hun Jo ◽  
Won-yul Kang ◽  
Dae-oh Kang ◽  
Gwang-woo Lee ◽  
Seung-Jin Heo

Navigation ◽  
2013 ◽  
Vol 60 (3) ◽  
pp. 179-193 ◽  
Author(s):  
Philipp Crocoll ◽  
Lorenz Görcke ◽  
Gert F. Trommer ◽  
Florian Holzapfel

Author(s):  
Zhaoxue Deng ◽  
Xinxin Wei ◽  
Xingquan Li ◽  
Shuen Zhao ◽  
Sunke Zhu

Mostly, magnetorheological (MR) dampers were optimized based on individual performance, without considering the influence of structure parameters change on vehicle performance. Therefore, a multi-objective optimization scheme of MR damper based on vehicle dynamics model was proposed. The finite element method was used to analyze magnetic flux density distribution in tapered damping channel under different structure parameters. Furthermore, the damping force expression of the tapered flow mode MR damper was derived, and the damping force was introduced into the vehicle dynamics model. In order to improve the ride comfort and operation stability of the vehicle, a collaborative optimization platform combining magnetic circuit finite element analysis and vehicle dynamics model was established. Based on this platform, the optimal design variables were determined by comfort and stability sensitivity analysis. The time domain optimization objective and frequency domain optimization objective are proposed simultaneously to overcome the lack of time domain optimization objective. The results show that compared with the time domain optimization and the initial design, the suspension dynamic deflection, tire dynamic load and vehicle body vertical acceleration are decreased after the time-frequency optimization. At the same time, in the frequency domain, the amplitude of vibration acceleration in each working condition is significantly reduced.


2017 ◽  
Vol 873 ◽  
pp. 314-318
Author(s):  
Wen Tao Yu

Based on the dual clutch automatic transmission, the shift rule is studied. MTTLAB is used to establish the engine model, the transmission model and the vehicle dynamics model respectively. The input parameters are numerically analyed to analye the shift rules of the vehicle, including the best dynamic shift law and the best fuel economy shift law, the combination of shift law. According to the simulation results, we analysis three indicators which include shift speed and quality and fuel consumption.The acceleration performance of the vehicle is better than that of the economic shift rule when the dynamic shift rule is adopted. When the combined shift rule is adopted, the acceleration performance is changed from the slow to the fast. Economic shift law behave the minimum fuel consumption and the best economic performance, combined shift of the economy followed by the economic shift law, the dynamic law is the worst performance of the economy. The combined shift rule is suitable for vehicles that do not have special power requirements and fuel economy requirements for vehicles or vehicles that travel for a long period of time.


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