基于Star-CCM+重型车进气系统仿真分析

针对某重型车进气系统,在Hyperworks11.0→Engineering Solutins11.0-CFD中对其进行了含边界层的非结构网格划分。由于进气系统空滤器部分空气流动方向不唯一,仿真计算结果中空滤器部分按多孔介质模型处理时与试验结果差别较大,故对空滤器部分按StarCCM+多孔Baffle处理,并对进气系统进行了流体动力学仿真分析,得到了额定工况下进气系统流场的分布和不同工况下的进气阻力及空滤阻力。最后将空滤器仿真结果与试验结果进行比较,进一步验证了仿真结果的准确性。     

Actively controlled vehicle suspension with energy regeneration capabilities

The paper presents an innovative dual purpose automotive suspension topology, combining for the first time the active damping qualities with mechanical vibrations power regeneration capabilities. The new configuration consists of a linear generator as an actuator, a power processing stage based on a gyrator operating under sliding mode control and dynamics controllers. The researched design is simple and energetically efficient, enables an accurate force–velocity suspension characteristic control as well as energy regeneration control, with no practical implementation constraints imposed over the theoretical design. Active damping is based on Skyhook suspension control scheme, which enables overcoming the passive damping tradeoff between high- and low-frequency performance, improving both body isolation and the tire's road grip. The system-level design includes configuration of three system operation modes: passive, semi–active or fully active damping, all using the same electro-mechanical infrastructure, and each focusing on different objective: dynamics improvement or power regeneration. Conclusively, the innovative hybrid suspension is theoretically researched, practically designed and analysed, and proven to be feasible as well as profitable in the aspects of power regeneration, vehicle dynamics improvement and human health risks reduction.     

Vehicle control synthesis using phase portraits of planar dynamics

ABSTRACT

Phase portraits provide control system designers strong graphical insight into nonlinear system dynamics. These plots readily display vehicle stability properties and map equilibrium point locations and movement to changing parameters and system inputs. This paper extends the usage of phase portraits in vehicle dynamics to control synthesis by illustrating the relationship between the boundaries of stable vehicle operation and the state derivative isoclines in the yaw rate–sideslip phase plane. Closed-loop phase portraits demonstrate the potential for augmenting a vehicle's open-loop dynamics through steering and braking. The paper concludes by applying phase portrait analysis to an envelope control algorithm for yaw stability and a sliding surface controller for stabilising a saddle point equilibrium in drifting.     

基于元技术的海洋环境监测系统能力分析

海洋环境监测系统的能力分析直接关乎船舶工程等相关产业的发展、海洋资源的合理利用以及海洋生态系统建设。文章在关键技术等概念基础上,提出体系工程中元技术概念;结合DEMATEL方法分析元技术的集成成熟度,给出体系工程能力测评范式,并据此分析了MECMS设计阶段的体系能力。结果表明:在MECMS设计阶段需要重视对时域频域处理技术、时空处理技术以及信号截获技术等原因技术的把握。     

基于信息系统的炮兵指挥信息能力评估研究

为提高基于信息系统的体系作战能力,对炮兵指挥信息能力构成进行了全面分析,建立了指挥信息能力评估指标体系,结合指挥信息对抗能力指标体系实例,引入云重心评判法对其进行科学评估,验证该方法的有效性,并得出结论为我军炮兵指挥信息系统建设提供了有益参考。     

高精度随动系统的变结构控制

陀螺稳定平台控制系统是控制平台框架系统快速跟踪陀螺仪的高精度随动系统,是保证平台正常工作和精度的重要系统。用传统的PID调节器可以满足工作在系统线性区的要求。由于放大器、电机等存在饱和特性,因而在系统启动和随大的干扰产生大偏角时,系统将进入非线性区,PID调节器将难以满足稳定性的要求。滑模变结构控制器对非线性具有很好的适应性,对系统启动初始偏角没有限制要求,本文将应用变结构控制的方法对平台的控制系统进行设计。     

复杂水域船舶进出港全过程仿真建模方法

本文对比分析了国内外应用各种建模方法在船舶通航研究中的优缺点,提出了一种基于多智能体信息交互的港口运营系统仿真建模方法,旨在拟实反映复杂水域船舶进出港的全过程。结合多智能体系统仿真理论、离散事件仿真理论与多元数据统计分析方法,实现了对复杂水域船舶进出港全年全过程的精细化仿真,并系统总结了可通过建模解决的关键研究问题。     

SiC功率器件在轨道交通行业中的应用

为解决轨道交通牵引及辅助系统的轻量化等问题,宽禁带半导体器件如SiC器件的应用需求越来越大。SiC材料具有禁带宽度大、击穿场强高、电子饱和漂移速率快等特性,能满足在中大功率、高温、高频条件下工作的应用要求。简述了SiC器件相比传统硅基器件的突出优势及商业化和实验室研发情况,介绍了SiC功率器件在轨道交通行业中的发展现状,同时对其在未来轨道交通装备业的发展提出了建议和展望。     

Fatigue damage estimation in non-linear systems using a combination of Monte Carlo simulation and the First Order Reliability Method

For non-linear systems the estimation of fatigue damage under stochastic loadings can be rather time-consuming. Usually Monte Carlo simulation (MCS) is applied, but the coefficient-of-variation (COV) can be large if only a small set of simulations can be done due to otherwise excessive CPU time. The reason is that the fatigue damage estimation is very sensitive to the largest values from the simulations. The paper suggests the additional use of the First Order Reliability Method (FORM) to get a better estimation of the tail in the distribution of the estimated fatigue damage and thereby reducing the COV. For a specific example dealing with stresses in a tendon in a tension leg platform the COV is thereby reduced by a factor of three.     

Towards data-driven car-following models

Car following models have been studied with many diverse approaches for decades. Nowadays, technological advances have significantly improved our traffic data collection capabilities. Conventional car following models rely on mathematical formulas and are derived from traffic flow theory; a property that often makes them more restrictive. On the other hand, data-driven approaches are more flexible and allow the incorporation of additional information to the model; however, they may not provide as much insight into traffic flow theory as the traditional models. In this research, an innovative methodological framework based on a data-driven approach is proposed for the estimation of car-following models, suitable for incorporation into microscopic traffic simulation models. An existing technique, i.e. locally weighted regression (loess), is defined through an optimization problem and is employed in a novel way. The proposed methodology is demonstrated using data collected from a sequence of instrumented vehicles in Naples, Italy. Gipps’ model, one of the most extensively used car-following models, is calibrated against the same data and used as a reference benchmark. Optimization issues are raised in both cases. The obtained results suggest that data-driven car-following models could be a promising research direction.