共查询到17条相似文献,搜索用时 140 毫秒
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研究汽车转向稳定性控制问题.针对线控转向系统的可变转向特性对汽车操纵稳定性的影响,为保证行驶安全,建立基于车辆横摆角速度与稳态横摆角速度之差(反馈系数F1)以及车辆侧向加速度与理想侧向加速度之差(反馈系数F2)反馈的驾驶员模型.结合整车模型和综合评价指标函数,分别对反馈系数F1(F2=0)、F2(F1 =0)和F1、F2进行优化,对线控转向系统的行驶状态进行仿真并与无反馈控制的驾驶员模型进行了比较.仿真试验结果表明:基于侧向加速度与横摆角速度共同反馈的方法,对前轮转角进行补偿,可较好的控制车辆的侧向位移、侧向加速度、横摆角速度和质心侧偏角,提高车道跟踪性能、方向稳定性能、降低驾驶员的转向负担,提高汽车的操纵稳定性. 相似文献
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鉴于汽车转向系统直接影响着汽车操纵稳定性、驾驶舒适性和主动安全性,引入新一代线控转向系统,并比较了线控转向系统与传统转向系统的特点.从提出概念、原型设计和概念车开发三方面阐述了线控转向系统的发展历史和研究现状.介绍了线控转向系统的结构、工作原理、关键部件和分类情况,分析了线控转向系统的控制策略及其对汽车的操纵稳定性、空间结构、智能性、安全性等方面的改善.最后讨论了线控转向系统在未来发展中亟需解决的相关问题,包括安全可靠问题、成本问题、控制策略问题和动力电源问题等. 相似文献
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研究电动汽车操纵稳定性优化问题,电动汽车采用线控转向系统,可靠性差,成本高.为提高操纵稳定性和主动安全性,提出对设计的线控转向系统的实体结构进行适当简化,建立了电动汽车线控转向系统的动力学模型.然后,研究了电机及减速器等的结构参数对系统频率响应特性和时域响应特性的影响,进行了电动汽车线控转向系统性能分析.最后,对系统的稳定性条件,采用非线性带约束优化算法进行了电动汽车线控转向系统的参数优化仿真.结果表明,经过参数优化后,电动汽车的操纵稳定性大大提高,可用于指导转向系统的参数设计与匹配. 相似文献
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以线控转向汽车的传动比控制为重点进行研究,提出了传动比智能控制策略,旨在进一步改善系统的转向性能。针对转向系统的不确定性、非线性的特点,在原有基于模型控制方法的基础上,研究了模糊控制和模糊神经网络在传动比控制中的应用;首先利用模糊控制技术设计传动比控制器,然后研究了模糊神经网络的结构和算法,利用模糊神经网络对理想传动比控制进行改进,实现了输入变量隶属函数中心值和宽度的在线调节,进而对传动比进行优化;从仿真结果可以看出基于模糊神经网络的控制方法比单模糊控制扩大了传动比变化的车速范围,更加符合理想传动比的要求,表明基于模糊神经网络控制方法更具有可行性和有效性。 相似文献
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ADAMS/Car在汽车操纵稳定性仿真中的应用 总被引:3,自引:1,他引:2
在研究汽车动力学特性中,针对车辆响和操纵稳定性,利用ADAMS/Car软件建立了某轿车的操纵动力学多体仿真模型,考虑前后悬架系统、转向系统、轮胎、衬套和载重等的影响,较为真实地仿真了汽车在方向盘转角阶跃输入条件下的转向情况,为汽车的操纵稳定性分析奠定了基础,并较为详细地分析了汽车在转向盘转角的转向特性。通过对不同车速、不同载荷下的仿真研究,得出汽车在这些不同条件下的响应,研究汽车的转向特性与车速、载荷的关系。为以后汽车的操纵稳定性等此类问题的设计研究提供了参考依据。 相似文献
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线控转向系统力反馈的研究 总被引:1,自引:0,他引:1
线控转向系统取消了转向盘与转向轮的机械连接,所以必须通过电机向驾驶员实时反馈路感,从而使驾驶员感知车辆行驶状态和路面状况.首先建立了包括驾驶员在内的转向盘力反馈模型.提出的路感控制策略包括上层控制策略和下层控制策略.上层控制策略中转向盘回正力矩建模为扭杆弹簧施加的回复力矩,与转向盘转角成线性;下层控制策略对电机电流进行比例积分控制.最后研究了不同驾驶员模型比例系数,积分系数和电流比例积分控制的比例系数,积分系数对转向盘转角跟踪性能的影响.结果表明,遗传算法优化得到的这四个参数,可使得驾驶员较好跟踪转向盘转角,路感电机电流较好跟踪目标电流,实现较好的力反馈. 相似文献
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Yantao Tian Yanbo Zhao Yiran Shi Xuanhao Cao Ding-Li Yu 《IEEE/CAA Journal of Automatica Sinica》2020,7(5):1403-1416
Due to the critical defects of techniques in fully autonomous vehicles, man-machine cooperative driving is still of great significance in today’s transportation system. Unlike the previous shared control structure, this paper introduces a double loop structure which is applied to indirect shared steering control between driver and automation. In contrast to the tandem indirect shared control, the parallel indirect shared control put the authority allocation system of steering angle into the framework to allocate the corresponding weighting coefficients reasonably and output the final desired steering angle according to the current deviation of vehicle and the accuracy of steering angles. Besides, the active disturbance rejection controller (ADRC) is also added in the frame in order to track the desired steering angle fleetly and accurately as well as restrain the internal and external disturbances effectively which including the steering friction torque, wind speed and ground interference etc. Eventually, we validated the advantages of double loop framework through three sets of double lane change and slalom experiments, respectively. Exactly as we expected, the simulation results show that the double loop structure can effectively reduce the lateral displacement error caused by the driver or the controller, significantly improve the tracking precision and keep great performance in trajectory tracking characteristics when driving errors occur in one of driver and controller. 相似文献
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The Steer-by-Wire (SbW) system is probably the most significant innovation among drive-by-Wire technologies in the automotive industry. Without the mechanical link, the most challenging issue is to control the wheels to closely follow the driver’s command. To improve the robustness of the model predictive control (MPC) in the presence of modeling uncertainties and disturbances in the steering control processes, a sliding mode predictive tracking control (SMPC) strategy for a SbW system with uncertain dynamics is proposed. The simulation and experimental results demonstrate that the performance of the proposed SMPC tracking controller is superior to both SMC and MPC methods for the steering angle tracking task. 相似文献
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基于驾驶员转向模型的共享控制系统EI北大核心CSCD 总被引:1,自引:0,他引:1
针对车辆驾驶对于共享控制系统实用性的需求,提出了基于驾驶员转向模型的共享控制系统.基于驾驶员的视觉预瞄特性与神经肌肉特性建立了驾驶员转向模型,通过遗传算法辨识模型参数并分析其与车速和道路曲率之间的函数关系;采用模糊权重分配策略合理分配驾驶权重;本文利用基于所开发的CarMaker驾驶模拟实验平台,对系统进行在线测试和验证,结果表明该系统不仅能够更好地提升车辆的轨迹跟踪精度和安全性,辅助驾驶员转向,还能够极大地减轻驾驶员负荷. 相似文献
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Chao Huang Fazel Naghdy Haiping Du Hailong Huang 《IEEE/CAA Journal of Automatica Sinica》2019,6(2):410-423
A shared control of highly automated Steer-by-Wire system is proposed for cooperative driving between the driver and vehicle in the face of driver's abnormal driving. A fault detection scheme is designed to detect the abnormal driving behaviour and transfer the control of the car to the automatic system designed based on a fault tolerant model predictive control (MPC) controller driving the vehicle along an optimal safe path. The proposed concept and control algorithm are tested in a number of scenarios representing intersection, lane change and different types of driver's abnormal behaviour. The simulation results show the feasibility and effectiveness of the proposed method. 相似文献
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Keen SD Cole DJ 《IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics》2012,42(2):434-443
Recent developments in modeling driver steering control with preview are reviewed. While some validation with experimental data has been presented, the rigorous application of formal system identification methods has not yet been attempted. This paper describes a steering controller based on linear model-predictive control. An indirect identification method that minimizes steering angle prediction error is developed. Special attention is given to filtering the prediction error so as to avoid identification bias that arises from the closed-loop operation of the driver-vehicle system. The identification procedure is applied to data collected from 14 test drivers performing double lane change maneuvers in an instrumented vehicle. It is found that the identification procedure successfully finds parameter values for the model that give small prediction errors. The procedure is also able to distinguish between the different steering strategies adopted by the test drivers. 相似文献