智能分布式驱动汽车路径跟踪/制动能量回收协同控制策略研究

为了解决智能分布式驱动汽车路径跟踪与制动能量回收系统间的协同控制难题,充分考虑分布式驱动汽车四轮扭矩独立可控在智能驾驶系统中的优势,设计适应不同路面附着条件的智能分布式驱动汽车转向、制动分层协同控制策略。上层控制器依据不同的路面类型设计差异化的多目标代价函数,以综合优化各工况下的控制目标。高附路面下,制定满足最大能量回收值的全局参考车速,在线优化路径跟踪指令,实现最优能量回收的同时减小系统运算负荷;低附路面下,优先考虑车辆的路径跟踪性能和行驶稳定性,在多目标代价函数中取消对全局参考车速的跟随要求,增设终端速度约束与能量回收项性能指标并减小能量回收项性能指标的权重系数。上层控制器基于模型预测控制方法对多目标代价函数进行滚动优化与预测求解,得到期望的前轮转角及4个车轮的总制动扭矩需求。下层控制器根据制动扭矩需求对四轮的液压制动扭矩和电机制动扭矩进行分配,最终完成整个复合制动过程。基于MATLAB/Simulink和CarSim软件,搭建控制器在环仿真平台,并在高附和低附路面条件下对所提出的策略进行试验验证。研究结果表明：高附路面下,所提出的控制策略在准确跟踪期望路径的同时相较固定比例制动力分配方法可提升2.7%的能量回收值并减少约0.02 s的单次计算时间;低附路面下,与使用高附控制策略相比,能够保证车辆的路径跟踪准确性与行驶稳定性,同时可提升7.8%的能量回收值;控制器在环试验结果证明了该协同控制策略对车辆性能提升的有效性。     

基于混合A*和可变半径RS曲线的自动泊车路径优化方法

路径规划是自动泊车系统的重要组成部分,是确保泊车运动安全、缩短行车距离、提高乘坐舒适性的关键。而当前自动泊车规划系统往往面临行驶空间狭小、障碍物多、路径搜索难度大等技术挑战,同时搜索曲线半径固定容易导致路径接点处曲率不连续,增大了路径跟随控制难度和轮胎磨损程度,这些都提升了泊车路径规划的研究难度。针对以上问题,设计可变半径的Reeds-Shepp曲线,提出基于混合A^*和该曲线的自动泊车路径规划方法,通过调整曲线半径,提升其在复杂场景下路径的搜索能力和灵活性。随后,设计基于分段贝塞尔曲线和梯度下降的路径优化方法,利用其多阶导数连续的优势优化已搜索的路径曲率,并采用梯度下降来保证路径曲率大小和对障碍的规避,解决直线与圆弧相接等位置曲率变化不连续的难题。结合路径搜索与路径优化的泊车规划方法能够切实满足复杂场景下的泊车需要。最后,基于团队自主研发的PanoSim虚拟系统与MATLAB搭建联合仿真环境,针对多种自动泊车工况测试验证提出的方法。研究结果表明：调整Reeds-Shepp曲线的搜索半径进行全局路径搜索,可获得更短和更易跟随的路径,具有良好的灵活性;基于贝塞尔曲线和梯度下降法的路径优化可有效消除曲率突变点、约束路径曲率并保证对障碍的无碰撞要求。     

折叠V型夹层板舷侧结构的耐撞性能优化设计

基于传统加筋形式的船舶舷侧结构,提出一种新式折叠V型夹层板舷侧结构,针对其复杂的耐撞性优化问题,分别利用GA-BP-GA方法和直观分析法对其开展耐撞性能优化设计,并验证了GA-BP-GA方法的可行性与准确性。结果表明:经遗传算法优化后的BP神经网络具有较优的训练精度和泛化能力;与原设计相比,GA-BPGA最优设计的耐撞性能提高了21.0%,高于正交最优设计的16.5%和直观优化的6.3%;GA-BP-GA最优设计关于耐撞性指标的预测值与有限元仿真值之间的相对误差均小于3.5%,具有较高的可信度。     

复杂环境超小间距隧道盾构掘进施工技术北大核心CSCD

针对浅埋超小间距隧道盾构施工,文章以特拉维夫红线轻轨工程西标段双线盾构施工为工程背景,从隧道加固施工、盾构掘进控制、监测控制与应急管理等方面进行系统研究。结果表明,加固施工在小间距盾构隧道施工中至关重要,可有效降低隧道施工风险;对未加固的小间距盾构隧道施工,应保持土压平稳,加强土压精细化控制;严格控制出渣量,做好渣土改良,控制土体损失率低于0.3%;在盾壳外部注入膨润土或克泥效,可有效地减少邻近隧道的位移量;应结合实时监测数据,控制回填注浆量及注浆质量;隧道施工过程应加强对邻近既有建筑物的监测。     

柔性制造技术决定汽车工业的未来

柔性化关系着制造业自动化系统的生存和发展。文章介绍了柔性制造系统（FMS）的内容及汽车制造业对柔性化的要求和发展，阐述了FMS的发展和未来，指出FMS作为一种生产手段，应向多功能、模块化、集成化、小型化及单元化方向发展，已成为21世纪机构帝1造业的主要生产模式。     

土体中应力分布基本规律的探讨

基于土体的颗粒结构和只有颗粒接触传递应力的特性，对不同姿态颗粒接触中应力传递的机理分析，揭示了土体在相对静态下存在主动力的应力扩散效应和强被动力的应力集中效应，及其形成的土体中应力分布基本规律。主动力的应力场是以其所在土层的应力扩散角θ向外扩散的园锥形应力范围，在应力场内应力扩散分布，主应力方向不变，且伴有与之垂直的法向应力，应力分布均衡了应力场内颗粒和支承面的位移趋势。强被动力的支承面上存在以θ角向外扩散倒锥台形的应力平衡范围，在此范围内反向应力集中作用到强支承面，强支承面主导了其所在应力场的应力分布。土拱效应是应力集中效应的衍生效应，是相邻的同向强支承反力的应力平衡范围发生重迭时产生的现象。     

Multivariable speed synchronisation for a parallel hybrid electric vehicle drivetrain

In this article, a new drivetrain configuration of a parallel hybrid electric vehicle is considered and a novel model-based control design strategy is given. In particular, the control design covers the speed synchronisation task during a restart of the internal combustion engine. The proposed multivariable synchronisation strategy is based on feedforward and decoupled feedback controllers. The performance and the robustness properties of the closed-loop system are illustrated by nonlinear simulation results.     

大型排水泵房基坑优化设计研究

目前大量排水工程的地下泵房采用基坑支护的方式施工。大型排水泵房的结构具有地下各层的层高比较高、内隔墙布置复杂等特点。因此，基坑支护工程的设计和施工存在内支撑布置和换撑困难的问题。以某大型排水泵房的基坑优化设计为例探讨了一种利用给排水地下构筑物的结构特征布置换撑的方法，减小基坑支护工程中的换撑难度，加快施工进度。     

Speed variation during peak and off-peak hours on urban arterials in Shanghai

Increased speed variation on urban arterials is associated with reductions in both operational performance and safety. Traffic flow, mean speed, traffic control parameters and geometric design features are known to affect speed variation. An exploratory study of the relationships among these variables could provide a foundation for improving the operational and safety performance of urban arterials, however, such a study has been hampered by problems in measuring speeds. The measurement of speed has traditionally been accomplished using spot speed collection methods such as radar, laser and loop detectors. These methods can cover only limited locations, and consequently are not able to capture speed distributions along an entire network, or even throughout any single road segment. In Shanghai, it is possible to acquire the speed distribution of any roadway segment, over any period of interest, by capturing data from Shanghai’s 50,000+ taxis equipped with Global Positional Systems (GPS). These data, hereafter called Floating Car Data, were used to calculate mean speed and speed variation on 234 road segments from eight urban arterials in downtown Shanghai. Hierarchical models with random variables were developed to account for spatial correlations among segments within each arterial and heterogeneities among arterials. Considering that traffic demand changes throughout the day, AM peak, Noon off-peak, and PM peak hours were studied separately. Results showed that increases in number of lanes and number of access points, the presence of bus stops and increases in mean speed were all associated with increased speed variation, and that increases in traffic volume and traffic signal green times were associated with reduced speed variation. These findings can be used by engineers to minimize speed differences during the road network planning stage and continuing through the traffic management phase.