共查询到17条相似文献,搜索用时 312 毫秒
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应用系统评价方法,建立了汽车覆盖件模具数控加工刀具运动轨迹的评价指标体系结构和优化评估模型。介绍了系统评价中常用的层次分析法和模糊综合评价方法,提出了完整的刀具轨迹生成优化评估与决策方法。以粗加工为例详细说明了刀具轨迹各因素权重和模糊综合评价时隶属度向量的确定方法等。 相似文献
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基于模糊神经理论的驾驶员控制模型的研究 总被引:3,自引:0,他引:3
把横向预瞄偏差作为模糊神经驾驶员控制模型的输入变量之一,解决了由于输入变量较多,神经网络节点数巨大的问题,从而设计并实现了模糊神经驾驶员控制模型网络拓扑结构,并用BP网络实现了控制规则的模糊映射。仿真的结果表明:所建立的模糊神经驾驶员模型是正确和可行的。这种模型的核心思想是利用神经网络对汽车驾驶员驾驶知识的表达机理,通过学习训练来实现控制规则的记忆,在一定程度体现了驾驶员的智能行为。 相似文献
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发展中的汽车倒车雷达 总被引:3,自引:0,他引:3
倒车雷达是汽车泊车安全辅助装置,能以声音或更为直观的显示告知驾驶员周围障碍物的情况,解除了驾驶员泊车和起动车辆时前后左右探视所引起的困扰,并帮助驾驶员扫除了视野死角和视线模糊的缺陷,提高了驾驶的安全性。 相似文献
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将驾驶员-汽车看作统一的人机系统,利用驾驶员驾驶过程的本质是决策过程的性质,通过确定系统的决策时刻、决策报酬、状态转移速率和概率、抽象驾驶员的行为集合等建立了基于Markov决策过程的驾驶员行为模型,最后对所建模型进行了计算机仿真. 相似文献
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针对采用定量仿真方法建立驾驶员模型的不足,应用GPS技术,采用定性仿真方法中的归纳推理方法建立驾驶员行为模型;该模型能够模拟驾驶员在驾驶过程中的决策判断过程,预测各种输入情况下的驾驶员行为输出,在建立驾驶员-汽车-道路系统仿真模型时将会得到广泛应用。 相似文献
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Abdelkader Merah Kada Hartani Azeddine Draou 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2016,54(1):86-101
In recent years, the driver's active assistances have become important features in commercialised vehicles. In this paper, we present one of these features which consists of an advanced driver assistance system for lane keeping. A thorough analysis of its performance and stability with respect to variations in driver behaviour will be given. Firstly, the lateral control model based on visual preview is established and the kinematics model based on visual preview, including speed and other factors, is used to calculate the lateral error and direction error. Secondly, and according to the characteristics of the lateral control, an efficient strategy of intelligent electric vehicle lateral mode is proposed. The integration of the vehicle current lateral error and direction error is chosen as the parameter of the sliding mode switching function to design the sliding surface. The control variables are adjusted according to the fuzzy control rules to ensure that they meet the existence and reaching condition. A new fuzzy logic-based switching strategy with an efficient control law is also proposed to ensure a level of continuous and variable sharing according to the state of the driver and the vehicle positioning on the roadway. The proposed control law acts either at the centre of the lane, as a lane keeping assistance system to reduce the driver's workload for long trips, or as a lane departure avoidance system that intervenes for unintended lane departures. Simulation results are included in this paper to explain this concept. 相似文献
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紧急避障工况下的驾驶人操作具有响应快且动作幅值较大的特点,传统预瞄驾驶人模型已不能适应紧急避障工况的需求,故考虑实际避撞场景开发相应的驾驶人模型就显得尤为必要。针对此种状况,基于驾驶模拟器,结合紧急避撞工况实际驾驶人操纵数据,提出了一种融合预瞄与势场栅格法的紧急避撞驾驶人模型。首先针对紧急避撞工况下车辆运动特点,建立车辆横、纵向耦合非线性动力学模型,并给出其状态空间方程描述;其次,离线仿真分析紧急避撞系统特征,并结合线性二次型最优控制,建立最优曲率预瞄+跟踪误差反馈驾驶人模型;再者,基于紧急避撞工况下真实驾驶人经验转向行为数据,开发基于势场栅格法的驾驶人模型,为进一步提高驾驶人模型对避障行驶工况的适应性,将基于势场栅格法的驾驶人模型与最优曲率预瞄+跟踪误差反馈驾驶人模型进行融合,并基于Sigmoid函数实现两者输出的权重分配;最后,针对所提出的融合预瞄与势场栅格法的驾驶人模型,开展基于避撞台架的驾驶人在环仿真试验以及实车试验。研究结果表明:在紧急避撞工况下,对比最优曲率预瞄+跟踪误差反馈驾驶人模型,融合预瞄与势场栅格法的驾驶人模型输出的转向动作与实际驾驶人行为较为接近,可在保证避障安全性的前提下,兼顾避障路径跟踪精度与车辆行驶的稳定性。 相似文献
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An adaptive lateral preview driver model 总被引:1,自引:0,他引:1
AY Ungoren H. Peng 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2005,43(4):245-259
Successful modelling and simulation of driver behaviour is important for the current industrial thrust of computer-based vehicle development. The main contribution of this paper is the development of an adaptive lateral preview human driver model. This driver model template has a few parameters that can be adjusted to simulate steering actions of human drivers with different driving styles. In other words, this model template can be used in the design process of vehicles and active safety systems to assess their performance under average drivers as well as atypical drivers. We assume that the drivers, regardless of their style, have driven the vehicle long enough to establish an accurate internal model of the vehicle. The proposed driver model is developed using the adaptive predictive control (APC) framework. Three key features are included in the APC framework: use of preview information, internal model identification and weight adjustment to simulate different driving styles. The driver uses predicted vehicle information in a future window to determine the optimal steering action. A tunable parameter is defined to assign relative importance of lateral displacement and yaw error in the cost function to be optimized. The model is tuned to fit three representative drivers obtained from driving simulator data taken from 22 human drivers. 相似文献
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In this paper, evolving Takagi-Sugeno (eTS) fuzzy driver model is proposed for simultaneous lateral and longitudinal control of a vehicle in a test track closed to traffic. The developed eTS fuzzy driver model can capture human operator’s driving expertise for generating desired steering angle, throttle angle and brake pedal command values by processing only information which can be supplied by the vehicle’s on-board control systems in real time. Apart from other fuzzy rule based (FRB) models requiring human expert knowledge or off-line clustering, the developed eTS driver model can adapt itself automatically, even ‘from scratch’, by an on-line learning process using eTS algorithm while human driver is supervising the vehicle. Proposed eTS fuzzy driver model’s on-line human driver identification capability and autonomous vehicle driving performance were evaluated on real road profiles created by digitizing two different intercity express ways of Turkey in IPG© CarMaker® software. The training and validation simulation results demonstrated that eTS fuzzy driver model can be used in product development phase to speed up different tests via realistic simulations. Furthermore eTS fuzzy driver model has an application potential in the field of autonomous driving. 相似文献