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为减小纯电动车两挡机械自动变速器换挡动力中断时间,改善换挡品质,文章通过对换挡过程的动力学分析,提出了一种综合换挡控制策略:在调速过程中,通过开环控制的方法,使接合套与结合齿圈之间的转速差快速到达一定范围内;在挂挡过程中,通过驱动电机输出与换挡电机作用下产生的同步摩擦力矩相同方向的转矩,使驱动电机与换挡电机协同作用消除剩余的转速差,从而缩短动力中断时间。使用Simulink设计了换挡控制模型,并在基于TCU、MCU控制下的纯电动车两挡AMT换挡实验台进行实验。实验结果表明,本文提出的综合控制策略可以在保证同步器磨损较小的前提下,有效减小整个换挡过程的动力中断时间。 相似文献
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根据发动机平均值模型,将节气门开度和点火角作为输入量,充分利用了节气门调节范围大、但响应速度慢,而点火角响应速度快、但调节范围有限的特点,结合控制量分配技术,提出了一种换挡过程的发动机转矩调节策略.在Matlab/Simulink环境下对控制器进行了仿真验证,结果表明,所提出的换挡过程发动机转矩控制策略能有效抑制输出轴的转矩波动,提高换挡舒适性. 相似文献
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基于6速干式DCT建立了换挡动力学模型,根据换挡品质要求量化了换挡控制目标,将DCT换挡过程分为转矩相、惯性相、微滑摩阶段及需求转矩切换阶段,实现了无冲击换挡。基于模糊层次分析法(FAHP)建立了换挡时间决策体系,并通过在线遗传算法实时优化转矩相和惯性相的时间分配,解决了DCT换挡过程中换挡时间决策问题及双离合器与发动机间的转矩协调控制问题,减少了换挡过程中滑摩功的产生。Matlab仿真结果表明,所提出的基于模型的转矩协调最优控制策略能有效提高DCT车辆的换挡品质。 相似文献
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由于无同步器式机械自动变速器结构简单,机械效率高,装备在电动汽车上能提高能量利用效率,提升续航里程。为促进无同步器式机械自动变速器在电动汽车上的应用,针对其换挡冲击大、易出现动力中断的问题,建立了接合套和接合齿圈的动力学模型,以探究换挡冲击机理和影响换挡品质的因素。在AMEsim中进行了仿真,分析了不同初始转速差,换挡力条件下换挡冲击,换挡时间的变化。结果表明,接合套和接合齿圈初始转速差越大,换挡时间越长,换挡冲击越大;初始换挡力越大,换挡时间越短,但换挡冲击变大。当换挡过程初始条件为高换挡力和低转速差时,既能获得较短的换挡时间,又能得到较低的换挡冲击,换挡品质得到提升。 相似文献
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双离合器自动变速器(Dual Clutch Transmission,DCT)随着服役时间的增加离合器性态会发生变化导致起步性能下降,为降低离合器性态变化对起步性能的影响,提出一种基于扩展状态观测器和滑模控制的DCT起步自适应控制方法。首先,建立DCT起步动力学模型、发动机模型和液压控制系统模型;将DCT起步问题转化为参考轨迹跟踪问题,通过工况识别并利用极小值原理获得了不同起步工况的参考轨迹;在DCT起步动力学模型中将与离合器性态变化相关的项定义为不确定项,设计扩展状态观测器对不确定项进行估计,同时结合自适应滑模控制器,获得了起步发动机转矩和离合器油压的自适应控制率;为了跟踪发动机转矩和离合器油压的自适应控制率,设计了发动机转矩跟踪控制器,同时对液压系统采用了PID闭环控制;通过MATLAB/Simulink平台仿真以及台架试验验证所提出的DCT起步控制方法对离合器性态变化的自适应效果。研究结果表明:所提出的起步自适应控制方法能够有效避免由离合器性态变化导致的起步延时,同时1挡缓起步和急起步的仿真冲击分别减小了53.11%和43.42%,试验起步冲击分别减小了35.66%和30.31%。 相似文献
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针对中国大学生方程式赛车(FSAC)在比赛中横向-纵向协同控制的轨迹跟踪精度和稳定性问题,根据现代控制理论和经典控制理论提出一种以纵向速度为结合点的线性二次控制器(LQR)和比例-积分-微分算法(PID)的横纵向协同控制策略,并根据赛车相对参考轨迹的位置设计了一种协同控制器。建立二自由度车辆动力学模型,基于该模型设计了横向LQR位置跟踪控制器和纵向PID速度跟踪控制器。所设计的控制策略在CarSim和Simulink搭建的循迹工况联合仿真场景下进行仿真验证,仿真结果为纵向位置偏差小于0.07 m,横向位置偏差小于0.03 m。对控制算法进行实车验证,结果表明,该策略有效提高了赛车的轨迹跟踪精度和行驶稳定性。 相似文献
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Vehicle Handling Improvement by Active Steering 总被引:10,自引:0,他引:10
Saï d Mammar Damien Koenig 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2002,38(3):211-242
Summary This paper first analyses some stability aspects of vehicle lateral motion, then a coprime factors and linear fractional transformations (LFT) based feedforward and feedback H 8 control for vehicle handling improvement is presented. The control synthesis procedure uses a linear vehicle model which includes the yaw motion and disturbance input with speed and road adhesion variations. The synthesis procedure allows the separate processing of the driver reference signal and robust stabilization problem or disturbance rejection. The control action is applied as an additional steering angle, by combination of the driver input and feedback of the yaw rate. The synthesized controller is tested for different speeds and road conditions on a nonlinear model in both disturbance rejection and driver imposed yaw reference tracking maneuvers. 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(3):211-242
Summary This paper first analyses some stability aspects of vehicle lateral motion, then a coprime factors and linear fractional transformations (LFT) based feedforward and feedback H 8 control for vehicle handling improvement is presented. The control synthesis procedure uses a linear vehicle model which includes the yaw motion and disturbance input with speed and road adhesion variations. The synthesis procedure allows the separate processing of the driver reference signal and robust stabilization problem or disturbance rejection. The control action is applied as an additional steering angle, by combination of the driver input and feedback of the yaw rate. The synthesized controller is tested for different speeds and road conditions on a nonlinear model in both disturbance rejection and driver imposed yaw reference tracking maneuvers. 相似文献
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Robust yaw stability control for electric vehicles based on active front steering control through a steer-by-wire system 总被引:2,自引:0,他引:2
K. Nam S. Oh H. Fujimoto Y. Hori 《International Journal of Automotive Technology》2012,13(7):1169-1176
A robust yaw stability control design based on active front steering control is proposed for in-wheel-motored electric vehicles with a Steer-by-Wire (SbW) system. The proposed control system consists of an inner-loop controller (referred to in this paper as the steering angle-disturbance observer (SA-DOB), which rejects an input steering disturbance by feeding a compensation steering angle) and an outer-loop tracking controller (i.e., a PI-type tracking controller) to achieve control performance and stability. Because the model uncertainties, which include unmodeled high frequency dynamics and parameter variations, occur in a wide range of driving situations, a robust control design method is applied to the control system to simultaneously guarantee robust stability and robust performance of the control system. The proposed control algorithm was implemented in a CaSim model, which was designed to describe actual in-wheel-motored electric vehicles. The control performances of the proposed yaw stability control system are verified through computer simulations and experimental results using an experimental electric vehicle. 相似文献
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This study proposes a design for an idle speed controller to compensate for varying engine load and friction torque in passenger car diesel engines. An active disturbance rejection control (ADRC) framework, comprised of a disturbance compensator and a feedback controller, is applied to an idle speed controller to compensate for disturbances such as engine load and friction torque. In addition, a feedforward compensator is designed into the ADRC framework to improve disturbance rejection performance. The proposed controller is validated by engine and vehicle experiments and the experiment results are compared with a commercial controller. 相似文献
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为改善复合功率分流混合动力系统纯电动至混合动力模式切换过程的车辆驾驶平顺性,同时确保在模型不确定和外部干扰条件下切换控制的鲁棒性,本文中提出了一种发动机起动H∞鲁棒控制策略。首先,建立复合功率分流混合动力系统动力学模型,并对纯电动至混合动力模式切换过程进行分析。其次,以车辆驾驶平顺性和发动机起动时间为优化指标,通过动态规划求解发动机最优拖转转速曲线。然后,考虑到输入轴阻尼参数摄动、驾驶员输入、道路负载、输出端转速的不确定性变化和发动机转速量测噪声的干扰,设计了发动机起动H∞鲁棒控制器。最后,通过离线仿真和台架试验对所提出的控制策略进行验证。结果表明,该策略能有效将冲击度降低至11.52 m/s^3以内,同时对模型不确定性和外部干扰有较强的抑制能力。 相似文献