汽车综合性能检测站计算机管理控制系统的设计

章介绍丁汽车综合性能检测站计算机管理控制系统的重要性，分析了系统的需求，并着重阐述了该系统设计和功能结构等关键技术问题。     

底盘综合控制系统GCC

驾驶员协助系统DAS(Driver Assistance System)未来发展趋势中最重要的一点就是各种系统的功能集成.本文介绍由continental Teves公司最新开发的具有网络特性的底盘综合控制系统GCC(Global Chassis Control),它将发动机、制动、转向和悬挂系统的功能进行集成,用来提高车辆的动态特性、乘坐舒适性和稳定性等.     

北京切诺基汽车空调控制系统介绍

介绍北京切诺基汽车空气调节系统的控制装置的组成和功能。     

巡航控制系统及自适应性巡航控制系统

巡航控制系统可控制汽车自动以恒定的速度行，有利于减轻驾驶员的操作负担、节省燃油和提高驾驶舒适性。介绍了巡航控制系统及基于其上的自适性巡航控制系统的组成、工作原理及各主要部件的功能。     

汽车自动变速器电子控制系统

三、自动变速器电子控制系统输入装置及功能汽车自动变速器电子控制系统的输入装置,视系统的设计不同而有所差异,但基本上相差不大,主要有以下几种输入装置.     

汽车自动变速器电子控制系统

3.冷却水温传感器典型的电子控制系统冷却水温传感器如图10所示.严格地讲,它是一个阻值随发动机冷却水温的变化而变化的热电偶,该传感器的外壳以螺纹旋入发动机冷却系统,其感温端浸泡在冷却水中.虽然从理论上来说它可以安装在发动机的若干部位,但通常所见它总是位于冷却系中靠近节温器的地方.     

客运专线架桥机电液控制系统的设计

0引言 根据中国铁路跨越式发展的需要,铁路客运专线的建设已全面展开,其建设和发展体现了一个国家的技术水平和经济实力。纵观世界已建、在建的高速铁路和中国目前已建、在建的客运专线,采用高架桥的线路里程一般占线路总长的一半或更多。     

汽车电动助力转向与主动悬架系统的集成控制

针对基于横向和垂向动理学的电动助力转向（EPS）与主动悬架（ASS）集成系统,设计了一种基于干扰抑制指标的控制策略。首先根据控制目标,选择相应的加权函数,建立增广被控对象矩阵,将鲁棒性能控制问题转化为标准的控制问题;然后在Matlab环境下进行了仿真计算。仿真结果表明,该集成控制方法是有效的,能够使汽车转向行驶时的整车综合性能得到提高。     

Nonlinear robust control of integrated vehicle dynamics

A new methodology to design the vehicle GCC (global chassis control) nonlinear controller is developed in this paper. Firstly, to handle the nonlinear coupling between sprung and unsprung masses, the vehicle is treated as a mechanical system of two-rigid-bodies which has 6 DOF (degree of freedom), including longitudinal, lateral, yaw, vertical, roll and pitch dynamics. The system equation is built in the yaw frame based on Lagrange's method, and it has been proved that the derived system remains the important physical properties of the general mechanical system. Then the GCC design problem is formulated as the trajectory tracking problem for a cascade system, with a Lagrange's system interconnecting with a linear system. The nonlinear robust control design problem of this cascade interconnected system is divided into two H _∞ control problems with respect to the two sub-systems. The parameter uncertainties in the system are tackled by adaptive theory, while the external uncertainties and disturbances are dealt with the H _∞ control theory. And the passivity of the mechanical system is applied to construct the solution of nonlinear H _∞ control problem. Finally, the effectiveness of the proposed controller is validated by simulation results even during the emergency manoeuvre.     

An adaptive integrated algorithm for active front steering and direct yaw moment control based on direct Lyapunov method

In this article, an adaptive integrated control algorithm based on active front steering and direct yaw moment control using direct Lyapunov method is proposed. Variation of cornering stiffness is considered through adaptation laws in the algorithm to ensure robustness of the integrated controller. A simple two degrees of freedom (DOF) vehicle model is used to develop the control algorithm. To evaluate the control algorithm developed here, a nonlinear eight-DOF vehicle model along with a combined-slip tyre model and a single-point preview driver model are used. Control commands are executed through correction steering angle on front wheels and braking torque applied on one of the four wheels. Simulation of a double lane change manoeuvre using Matlab^®/Simulink is used for evaluation of the control algorithm. Simulation results show that the integrated control algorithm can significantly enhance vehicle stability during emergency evasive manoeuvres on various road conditions ranging from dry asphalt to very slippery packed snow road surfaces.     

公交车载集成智能系统的设计构想

改革开放以来,中国的城市公共交通有了长足进步,公交车辆上硬件服务的科技含量日益提高.不仅电子语音报站器、电子收费系统等设施已在公交车辆大量应用,而且车辆途中定位系统、客流计数器等用于运调管理的系统也开始在车上试用.     

Active front wheel steering model and controller for integrated dynamics control systems

We report a model and controller for an active front-wheel steering (AFS) system. Two integrated dynamics control (IDC) systems are designed to investigate the performance of the AFS system when integrated with braking and steering systems. An 8-degrees-of-freedom vehicle model was employed to test the controllers. The controllers were inspected and compared under different driving and road conditions, with and without braking input, and with and without steering input. The results show that the AFS system performs kinematic steering assistance function and kinematic stabilisation function very well. Three controllers allowed the yaw rate to accurately follow a reference yaw rate, improving the lateral stability. The two IDC systems improved the lateral stability and vehicle control and were effective in reducing the sideslip angle.     

Adaptive neuron control using an integrated error approach with application to active suspensions

This paper proposes a new neuron control strategy for an active vehicle suspension system, with the emphasis on the study of multivariable and uncertain suspension characteristics. The novelty of this strategy is in the use of integrated error, which consists of multiple output errors in the regulated plant. By combining the integrated error approach with the traditional neuron control (TNC), integrated error neuron control (IENC) is presented. It provides a direct control to the multiple outputs of the control plant simultaneously. Taking a quarter-car model as an example, the proposed control strategy is applied and comparative simulations are carried out with various vehicle parameters and road input conditions. Simulation results prove the effectiveness and robustness of the proposed IENC method. In addition, the newly proposed neuron scheme provides a simple yet efficient new possibility for the control of a class of uncertain multivariable systems similar to an active vehicle suspension.     

Robust control of anti-lock brake system

A robust control algorithm for an anti-lock brake system is proposed. The method used is based on static-state feedback of longitudinal slip and does not involve controller scheduling with changing vehicle speed or road adhesion coefficient estimation. An improvement involving scheduling of longitudinal slip reference with longitudinal acceleration measurement is included. Electromechanical braking actuators are used in simulations, and the algorithm used in this study is shown to have high performance on roads with constant and varying adhesion coefficients, displaying nice robustness properties against large vehicle speed and road adhesion coefficient variations. Guidelines are provided for tuning controller gains to cope with unknown actuator delay and measurement noise.     

基于预测控制的燃料电池温度控制系统的建模

燃料电池是一个新兴的研究领域,其温度控制对电池性能的影响很大。因此,准确地建立其控制系统的模型是很关键的。从应用的角度出发,采用广义预测控制算法,对燃料电池电堆温度控制系统的建模进行了研究,以有效地解决时变性、大滞后、不确定性和强耦合引起的控制问题,满足温度控制特性要求。