非线性闭环汽车系统直线行驶稳定性分析

详细研究了驾驶员－汽车闭环系统直线行驶稳定性问题。在线性范围内分析了驾驶员预瞄时间和轮胎刚度对临界车速的影响；在非线性领域内运用Hopf定理等非线性理论研究了当系统失去直线行驶稳定性后的特殖运动形式，并以某一国产汽车为例，验证了该车失去直线行驶稳定性后，将出现稳定的蛇行运动。     

汽车转向非线性平衡点求解新方法及其应用

针对汽车转向非线性稳定性平衡点确定问题,提出了求解汽车转向非线性平衡点的一种新方法。建立了汽车转向非线性2自由度模型,采用简化魔术公式轮胎模型描述非线性轮胎侧向力。给出了转向非线性平衡点的表示,对粒子群算法进行了简要分析,提出了求解转向平衡点的粒子群算法。设计了前轮转角、路面附着系数和车速分别变化的3种行驶条件,对3种行驶条件下的转向非线性平衡点进行了求解。结果表明,粒子群算法可以准确求得汽车转向非线性平衡点,适应值小于设置的10-4的精度。     

汽车平衡悬架桥的运动分析

本文对汽车平衡悬架系统推力杆－－桥四杆机构进行了理论分析，建立了平衡悬架桥的运动方程，并编写成计算机程序，介绍了平衡悬架运动方程的实际应用。     

汽车动力学仿真模型的发展

汽车动力学包括对一切与车辆系统相关运动的研究，其最核心的是平顺性和操纵稳定性这两大领域。在简要说明了汽车动力学发展过程的基础上介绍了平顺性和操纵稳定性两大领域的模型发展过程。平顺性模型主要经过集中质量－弹簧－阻尼模型、有限元模型和动态子结构模型阶段；而操纵稳定性模型从低自由度线性模型、非线性多自由度模型发展到多体模型。最后提出了汽车动力学仿真模型的发展动向。     

具有演变随机道路输入的驾驶员——汽车—道路闭环系统主动安全？…

基于预瞄跟随理论，应用精细积分算法，对考虑演变随机道路输入的驾驶员－汽车－道路闭环系统进行响应分析，结合实例说明经在汽车主动安全性评价中的应用 。     

汽车列车横向稳定性研究

汽车列车是牵引汽车与挂车相互作用、相互耦合的复杂系统,其横向稳定性研究涉及多体动力学、刚柔耦合力学、气体动力学、车辆非线性运动和电子控制等多个学科.本文论述了汽车列车横向稳定性的国内外研究现状、研究方法和试验手段,探讨了使用参数和结构参数对汽车列车横向稳定性的影响,分析了角阶跃输入下汽车列车侧向加速度响应.最后,对汽车列车动力学数字仿真算法及代表性软件进行了分析阐述.     

汽车动态仿真器运动系统控制算法研究

汽车动态仿真器的研制必须建立在驾驶员视觉，触觉，听觉及体感的高逼真度模拟的基础上，研究了体感模拟技术的算法及建模，并进行了计算机仿真，仿真结果表明，所研究的运动控制算法，可为驾驶员提供逼真的运动感觉，可用于汽车动态仿真器的开发研究中心。     

应用邓肯—张非线性模型近似计算路基沉降

提出了应用邓肯－张非线性模型对路基沉降量进行估算的近似算法。通过与规范算法和实测沉降的对比分析，证明该算法是可靠的，可用于软土路基设计与施工控制。     

非线性有限元模拟计算技术在汽车被动安全性研究中的应用

阐述了可用于汽车被动安全性模拟计算的动态显式非线性有限元法的基本理论与算法，列举了目前在汽车被动安全领域常用的有限元软件。介绍了非线性有限元模拟技术在假人建模，整车碰撞的模拟以及一些零部件和安全约束系统的设计和开发方面的应用。     

汽车动态仿真器运动系统的两种驱动算法模拟逼真度分析与比较

本文利用驾驶员前庭系统模拟型分析比较汽车动态仿真器运动系统的两种驱动自满的模拟逼真度。仿真结果表明，自适应Ｗａｓｈｏｕｔ驱动算法比传统Ｗａｓｈｏｕｔ驱动算法具有更高的模拟逼真度，因此，汽车动态仿真器用自适应算法可为驾驶员提供更为逼真的运动感觉 。     

Pole location control design of an active suspension system with uncertain parameters

This paper addresses the problem of robust control design for an active suspension quarter-car model by means of state feedback gains. Specifically, the design of controllers that assure robust pole location of the closed-loop system inside a circular region on the left-hand side of complex plane is investigated. Three sufficient conditions for the existence of a robust stabilizing state feedback gain are presented as linear matrix inequalities: (i) the quadratic stability based gain; (ii) a recently published condition that uses an augmented space and has been here modified to cope with the pole location specification; (iii) a condition that uses an extended number of equations and yields a parameter-dependent state feedback gain. Unlike other parameter-dependent strategies, neither extensive gridding nor approximations are needed. In the suspension model, the sprung mass, the damper coefficient and the spring constant are considered as uncertain parameters belonging to a known interval (polytope type uncertainty). It is shown that the parameter-dependent gain proposed allows one to impose the closed-loop system pole locations that in some situations cannot be obtained with constant feedback gains.     

Pole location control design of an active suspension system with uncertain parameters

This paper addresses the problem of robust control design for an active suspension quarter-car model by means of state feedback gains. Specifically, the design of controllers that assure robust pole location of the closed-loop system inside a circular region on the left-hand side of complex plane is investigated. Three sufficient conditions for the existence of a robust stabilizing state feedback gain are presented as linear matrix inequalities: (i) the quadratic stability based gain; (ii) a recently published condition that uses an augmented space and has been here modified to cope with the pole location specification; (iii) a condition that uses an extended number of equations and yields a parameter-dependent state feedback gain. Unlike other parameter-dependent strategies, neither extensive gridding nor approximations are needed. In the suspension model, the sprung mass, the damper coefficient and the spring constant are considered as uncertain parameters belonging to a known interval (polytope type uncertainty). It is shown that the parameter-dependent gain proposed allows one to impose the closed-loop system pole locations that in some situations cannot be obtained with constant feedback gains.     

考虑参数不确定性的无人车预设性能路径跟踪控制

为保证无人车在参数不确定性影响下的路径跟踪具有预设控制精度,提出一种具有预设跟踪误差性能的路径跟踪输出反馈控制方法。根据横向预瞄偏差建立了路径跟踪二阶误差积分系统,在考虑轮胎侧偏刚度参数摄动及车辆横向速度未知的情况下,利用扩张状态方法建立了含有复合未知项的控制模型,再通过设计线性扩张状态观测器对系统未知状态和模型不确定项进行估计,并进一步证明了观测误差的一致有界收敛性。针对无人车路径跟踪瞬态和稳态性能无法满足预设精度的问题,结合观测器估计值提出了一种具有预设性能的路径跟踪输出反馈控制器,并根据Lyapunov理论对闭环系统稳定性进行了严格证明。Matlab/Simulink仿真结果表明,所设计的控制策略能保证车辆以预设控制性能跟踪上期望路径,进一步在硬件在环仿真试验台上进行验证,结果表明所设计方案能严格保证横向跟踪偏差位于安全边界之内并具有较强的鲁棒性。     

Car driving at the limit by adaptive linear optimal preview control

The paper is concerned with modelling car drivers. The context of the work presented is explained. Then, previous research on the application of optimal linear preview control theory to driving road vehicles with only modest excursions from a straight-running equilibrium state is extended into the general large-lateral-motion arena. Optimal controls are found for steady-cornering trim states of an exemplary car at a given speed as a function of cornering effort, up to the practical limit. The manner in which the optimal controls change as the cornering vigour changes is discussed. Simulations of the virtual driver-controlled car are shown to demonstrate the closed-loop system following lateral path demands and the advantages of employing gain-scheduled adaptive control over a fixed-control scheme are demonstrated.     

Modelling of Driver/Vehicle Directional Control System

Different driver models and driver/vehicle/road closed-loop directional control systems are reviewed and compared. Evaluation methods of vehicle handling quality based on closed-loop system dynamics, stability of the closed-loop system, and optimization of vehicle design are discussed.     

Modelling of Driver/Vehicle Directional Control System

Abstract

Different driver models and driver/vehicle/road closed-loop directional control systems are reviewed and compared. Evaluation methods of vehicle handling quality based on closed-loop system dynamics, stability of the closed-loop system, and optimization of vehicle design are discussed.     

模糊控制理论在驾驶员—汽车—环境闭环系统操纵稳定性研究中的应用

本文采用模糊控制理论方法，对驾驶员－汽车－环境闭环系统的操纵稳定性进行了研究，建立了驾驶员智能模型，研制了整个闭环系统的仿真软件，模拟了几种典型工况的汽车运行，试验证明闭环系统模型合理，仿真结果正确。     

汽车操纵性评价指标的研究

本文研究了驾驶员-汽车闭环系统操纵性的各个单项指标。增加了某些单项评价指标，验证了在汽车设计中仅有几个单项指标就可确定出合理的综合评价指标的结论；对汽车的开环操纵性单项评价指标也做了补充；并对汽车的开环操纵性综合评价指标的驾驶员-汽车闭环系统操纵性综合评价指标进行了相关分析。     

三效催化转化器在红旗轿车上的应用

为了达到日益严格的排放控制要求,在车辆上采用闭环电控喷射系统配以三效催化转化器是目前比较有效也是最常用的方法之一。本文在红旗轿车上采用闭环多点电控喷射系统并装用三效催化转化器,经试验验证:排放值完全符合排放法规要求,对整车噪声影响不大,功率损失很小且对有害物的转化率也很高,取得了满意的效果。     

Handling Safety Simulation of Driver-Vehicle Closed-Loop System with Evolutionary Random Road Input

The response simulation is studied and the handling safety is evaluated using finer integration method for driver-vehicle closed-loop system with stationary random road input. This algorithm is not only precise, but can also shorten the evaluation period of handling safety and reduce the tremendous cost for real vehicle testing. The response simulation and the vehicle handling safety evaluation are also studied for the closed-loop system with evolutionary random road input. The study can more truly simulate vehicle handling quality for including the varying of vehicle velocity with time.