An Optimal Self-Tuning Controller for an Active Suspension

An optimal self-tuning control algorithm is presented for vehicle suspension design. The controller, incorporating a weighting controller, state observer and parameter estimator, is designed according to linear optimal control (LQG) theory. Based on the updated estimates of vehicle parameters and states, and the adapted weighting parameters, the LQG controller provides the optimal set of gains over different operating conditions. The feasibility and effectiveness of the proposed self-tuning system was investigated and proved by simulation studies.     

驾驶员统计特性对人—车闭环系统响应的影响与汽车主动安全性评价

基于预瞄跟随理论，本文应用一般随机摄动法，对考虑驾驶员不确定性的人－车闭环系统进行响应分析，结合实例，说明该方法在汽车主动安全性评价中的应用。     

沥青混凝土摊铺机液压系统的计算机故障诊断

通过对ＬＴＬ４５００型沥青摊铺机液压系统现有故障诊断方案进行分析，探讨了计算机辅助故障诊断技术的可行性，同时总结出一种确定最佳维修期的方法。     

含水率对路用水泥混凝土的影响及微波在线测湿系统

在讨论了含水率对路用土质量的影响因素后，通过对不同种类测试器的分析，确定了较为适用的微波传感器，并给出了微波传感器的输出电压与集料含水率之间的关系式，进而对测试准确度进行计算。     

钢管混凝土系杆拱桥预应力技术及结构分析测试研究

南京栖霞大桥为一座主跨８６．５ｍ的大跨度宽桥面钢管混凝土系杆拱桥。阐述了该桥的预应力施工技术，分析了桥梁在施工各阶段的受力特征，并结合系梁的实测应力，对实施过程中的结构安全性进行评价。同时还研究了大跨度宽桥面系杆拱桥独特的力学特征。     

Fuzzy Logic Active and Semi-Active Control of Off-Road Vehicle Suspensions

For off-road vehicles, minimizing the absorbed power is the main objective of suspension control. The primary cause of increase in the absorbed power in off-road vehicles driven at high speeds on harsh courses is the exhaustion of the suspension travel. Fuzzy-logic approach to active and semi-active off-road vehicle suspension control, with the goal of improving the speed of the vehicle over rough terrains are developed. The ride metric used for quantifying improvements is the absorbed power of the sprung mass. Particular attention is paid to the proper modeling of the suspension using both the full kinematic constraints and the more convenient two degree of freedom linear model of the quarter vehicle suspension. The nonlinearities due to the kinematic constraints on motion are accounted for by modifying the stiffness and damping coefficients of the suspension spring and dashpot in the linear model. The control laws are developed using the less complex model and demonstrated in the fully constrained environment. Nonlinearities of the suspension, including tire stiffness/damping and bumpstops are included at all stages of controller development.     

连续刚构桥的群桩基础计算模型研究

群桩基础是连续刚构最常用的基础形式之一，分析探讨了群桩基础的几种建模方法，给出了建模思路和参数取值。结合苏通大桥辅航道桥预应力混凝土连续刚构的工程需要，提出了考虑群桩基础与上部结构共同工作的计算模型，并将计算结果与不考虑桩基的模型计算结果进行了对比分析，计算方法对类似工程有直接参考价值。     

石灰土中石灰活性衰减规律研究

通过试验的方法研究松散石灰土在常温和低温开放状态、常温密封状态条件下石灰活性衰减的规律，推定出不同状态条件下石灰活性衰减率公式，以确定石灰土合理的闷料时间，减少不必要的石灰活性衰减和未消解石灰对路面基层的破坏，为石灰土路面基层质量问题的界定提供依据。     

V形刚构桥施工中倒三角区域支架的拆除时机分析

采用桥梁博士软件模拟一座典型的V形墩连续刚构桥的施工过程,为找出支架拆除对传力途径的影响,分别单独计算结构自重、预应力以及收缩徐变内力,然后对单因素分析的结果进行组合。分析结果表明倒三角区域支架的拆除时机对桥梁在施工阶段及成桥后的内力均有显著影响,可达50%以上。建议优先采用早拆支架方案,以使结构受力明确,且对V形墩区域受力有利。     

An adaptive lateral preview driver model

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.