排序方式: 共有37条查询结果,搜索用时 15 毫秒
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Magic Formula轮胎模型参数辨识的一种混合优化方法 总被引:1,自引:0,他引:1
Magic Formula(MF)轮胎模型能够准确描述轮胎的侧偏特性,广泛应用于车辆动力学的研究。由于MF轮胎模型参数多,且高度非线性,从大量的试验数据中准确辨识这些参数相当困难。提出一种基于遗传算法和数值优化算法的混合优化方法,采用由粗到精的辨识过程,先利用遗传算法得出近似最优解,再利用数值优化算法辨识出精确的参数。利用辨识出的参数计算轮胎的侧偏特性,计算结果与试验数据吻合良好,表明该方法是辨识MF轮胎模型参数的有效手段。 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(2):154-178
Tyre models are a prerequisite for any vehicle dynamics simulation. Tyre models range from the simplest mathematical models that consider only the cornering stiffness to a complex set of formulae. Among all the steady-state tyre models that are in use today, the Magic Formula tyre model is unique and most popular. Though the Magic Formula tyre model is widely used, obtaining the model coefficients from either the experimental or the simulation data is not straightforward due to its nonlinear nature and the presence of a large number of coefficients. A common procedure used for this extraction is the least-squares minimisation that requires considerable experience for initial guesses. Various researchers have tried different algorithms, namely, gradient and Newton-based methods, differential evolution, artificial neural networks, etc. The issues involved in all these algorithms are setting bounds or constraints, sensitivity of the parameters, the features of the input data such as the number of points, noisy data, experimental procedure used such as slip angle sweep or tyre measurement (TIME) procedure, etc. The extracted Magic Formula coefficients are affected by these variants. This paper highlights the issues that are commonly encountered in obtaining these coefficients with different algorithms, namely, least-squares minimisation using trust region algorithms, Nelder–Mead simplex, pattern search, differential evolution, particle swarm optimisation, cuckoo search, etc. A key observation is that not all the algorithms give the same Magic Formula coefficients for a given data. The nature of the input data and the type of the algorithm decide the set of the Magic Formula tyre model coefficients. 相似文献
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A. J. Tremlett D. J. N. Limebeer 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2016,54(10):1448-1473
Variations in track temperature, surface conditions and layout have led tyre manufacturers to produce a range of rubber compounds for race events. Each compound has unique friction and durability characteristics. Efficient tyre management over a full race distance is a crucial component of a competitive race strategy. A minimum lap time optimal control calculation and a thermodynamic tyre wear model are used to establish optimal tyre warming and tyre usage strategies. Lap time sensitivities demonstrate that relatively small changes in control strategy can lead to significant reductions in the associated wear metrics. The illustrated methodology shows how vehicle setup parameters can be optimised for minimum tyre usage. 相似文献
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H. Nozaki 《International Journal of Automotive Technology》2008,9(3):307-315
Because Formula cars are lighter than ordinary cars, the optimal settings for this type of car are thought to be different
from those of a ordinary car. The front and rear weight distribution ratio of a vehicle is an important parameter that exerts
a significant influence on critical cornering. The tendency of a ordinary car to under-steer during critical cornering is
determined by the front and rear weight distribution ratio of the vehicle. Specifically, when the front of an ordinary FR
(front-engine, rear wheel drive) vehicle is slightly heavier than the rear, the car tends to understeer during critical cornering.
However, the optimal weight distribution ratio for critical cornering is not obvious for a formula car because of its lightness.
This observation was investigated using a driving course similar to a real driving course to perform a maximum speed cornering
simulations. It was found that a front to rear weight distribution ratio of 40:60 resulted in the fastest lap time. This ratio
also gave the best results in the maximum-speed driving experiment performed using a driving simulator. Moreover, the maximum
lateral acceleration during turning, the driving force, and the load movement of the inside and outside wheels was calculated
using experimental driving force data and the concept of a tire friction circle. As a result, driving mechanics have been
determined for a vehicle having a front/rear weight distribution ratio of 40:60 while traveling at maximum speed. 相似文献
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目的观察散癖平胃(SPPW)方对人胃癌细胞SGC-7901侵袭转移能力的影响。方法 SPPW方含药血清干预人胃癌细胞SGC-7901 48h后,应用黏附实验、侵袭实验及迁移实验,检测SPPW方对人胃癌细胞SGC-7901侵袭转移能力的影响。应用实时定量聚合酶链反应(real-time PCR)检测SPPW对与侵袭转移有关的MMP-2和MMP-9mRNA表达的影响。结果 SPPW方各组含药血清干预人胃癌细胞48h后,SGC-7901细胞黏附抑制率、侵袭抑制率及迁移抑制率均增加且呈剂量依赖关系,与阴性对照组比较有统计学差异(P<0.01或P<0.05)。SPPW方三个剂量组对MMP-2mRNA的表达无统计学差异,对MMP-9mRNA的表达具有统计学差异(P<0.01)。结论 SPPW方可抑制人胃癌细胞SGC-7901黏附、侵袭和迁移能力,其抑制有明显的剂量依赖性,其抑制的机制可能与下调MMP-9的表达有关。 相似文献
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