基于盘式制动器的电磁制动系统的仿真研究

在一种新型电磁制动器的基础上,应用ABS的控制原理和基于路面附着系数的方法对其实施控制,利用Matlab/Simulink建立了车辆动力学、电磁制动器以及基于路面附着系数控制器的数学模型,并进行仿真计算,为这种新技术的设计和实现提供了理论依据。     

基于ADAMS与Matlab的ABS模糊控制仿真研究

将多体系统动力学与智能控制理论相结合对汽车制动防抱死控制系统进行了研究，利用ADAMS／CAR建立了汽车整车的多体力学模型，模型包含了前后悬架、动力总成、转向系统、稳定杆、制动系、轮胎力学模型以及车身，同时也考虑了轮胎、衬套、弹簧、减震器等部件的非线性，准确地表达了车辆的动态特性；利用Matlab／Simulink模糊控制工具箱建立了制动防抱死控制系统的模糊控制策略，利用ADAMS／Control接口进行模型的集成、协同仿真，并将仿真结果与另一种控制策略一逻辑门限值控制的仿真结果进行了比较和分析，仿真反映出模糊控制在整车制动防抱死控制系统上的应用效果，结果表明该控制算法稳定好并具有较强的鲁棒性。     

汽车电磁制动器的变结构控制及其仿真

电磁制动器是一种新型的汽车辅助制动系统，通过对滑模变结构控制方法的研究，将其应用于制动控制中，并利用MATLAB／SIMULINK建立了系统的数学模型，进行仿真计算，为汽车电磁制动器控制系统的设计提供了一定的理论依据。     

汽车ABS转弯制动控制模式的研究

简述了防抱死制动系统的工作原理,分析了车辆转弯制动时的动力学模型及模糊控制理论的特点。借助于MATLAB—SIMULINK仿真,得出实验仿真结果。     

基于Matlab/Simulink的汽车制动防抱死研究

汽车制动距离的大小主要与地面制动力、制动器制动力与附着力存在关系,而制动过程中控制滑移率在15%~20%时,车辆可获得较好的地面附着力,从而缩短并改善汽车在制动时出现的制动距离过长以及发生侧滑跑偏造成交通事故。利用Matlab/Simulink仿真软件模拟车辆在行驶过程中有无防抱死制动系统时的制动性能,验证利用ABS控制车辆制动时的滑移率在15%~20%具有较好的制动效果。     

汽车防抱死系统气压电磁调节器试验台在检验中的技术应用

汽车防抱死系统气压电磁调节器的检验,主要是根据长期积累的经验,识别关键功能性指标,采用试验台的形式、模拟实车制动,模拟实际车辆的气路连接状态,用试验台主板对台子内部气路进行控制,模拟实际刹车的气流状态,对汽车防抱死系统气压电磁调节器的功能进行检验。此试验台使用后,弥补了汽车防抱死系统气压电磁调节器的检验只能依靠实车测试的空白,减轻了测试人员的压力,同时使产品合格率大幅提升,经过长时间运行,验证效果良好。     

单个交叉口信号配时的模糊控制

以车辆排队长度为控制量,对单个交叉口信号配时提出模糊控制方法,并通过仿真模型,对采用模糊控制方法与未使用该方法在车辆的平均延误时间进行比较。仿真结果表明,在车辆的平均延误时间、信号周期等方面,模糊控制信号配时方法具有优越性。     

防抱死制动系统仿真分析

本文在分析了汽车制动过程中各部分运动和受力情况的基础上,运用Matlab/Simulink软件建立了车辆制动模型.采用基于滑移率的控制方法,用PID控制算法对单轮车辆模型进行仿真,并对仿真曲线进行分析,ABS的防抱死效果显著.     

基于模糊控制理论的汽车ABS控制方法研究

介绍了模糊控制理论在汽车防抱死制动系统中的应用，提出了车速估算的模糊逻辑方法，并在SIMULINK仿真环境下进行了动态仿真。结果表明，基于模糊控制的防抱控制系统鲁棒性强，控制效果好，可实施性好。     

汽车ABS的模糊控制方法研究

介绍了模糊控制理论在汽车防抱死制动系统(ABS)中的应用,提出了车速估算的模糊逻辑方法,并在SIMULINK仿真环境下进行了动态仿真,结果表明：基于模糊控制的ABS系统鲁棒性强,控制效果好,可实施性好。     

防抱死制动系统模糊自学习控制研究

由于车辆参数和运行工况的复杂多变，针对特定参数和路面条件所设计的防抱死制动系统往往难以适应。为解决这一问题，文中首先建立了带有盘式制动器的双轮车辆直线制动系统的数学模型；而后提出了模糊自学习控制策略，该方案通过引入模糊学习机制以调整模糊控制器的规则集，可使车辆对象输出跟踪理想参考模型的输出；接着对所设计控制算法在不同路面条件下进行了性能模拟；最后开发了模糊自学习微控制器，基于硬件在环仿真技术，对设计控制器的性能进行了实验验证。     

Experimental investigations on continuous regenerative anti-lock braking system of full electric vehicle

Functions of anti-lock braking for full electric vehicles (EV) with individually controlled wheel drive can be realized through conventional brake system actuating friction brakes and regenerative brake system actuating electric motors. To analyze advantages and limitations of both variants of anti-lock braking systems (ABS), the presented study introduces results of experimental investigations obtained from proving ground tests of all-wheel drive EV. The brake performance is assessed for three different configurations: hydraulic ABS; regenerative ABS only on the front axle; blended hydraulic and regenerative ABS on the front axle and hydraulic ABS on the rear axle. The hydraulic ABS is based on a rule-based controller, and the continuous regenerative ABS uses the gain-scheduled proportional-integral direct slip control with feedforward and feedback control parts. The results of tests on low-friction road surface demonstrated that all the ABS configurations guarantee considerable reduction of the brake distance compared to the vehicle without ABS. In addition, braking manoeuvres with the regenerative ABS are characterized by accurate tracking of the reference wheel slip that results in less oscillatory time profile of the vehicle deceleration and, as consequence, in better driving comfort. The results of the presented experimental investigations can be used in the process of selection of ABS architecture for upcoming generations of full electric vehicles with individual wheel drive.     

基于MC9S12DP256的汽车ABS模糊滑模控制器

对于ABS控制器的设计,在控制逻辑确定后,其设计难点在于控制器的软硬件实现。文章基于模糊滑模控制逻辑,介绍了基于Freescale公司HCS12系列16位单片机——MC9S12DP256的汽车ABS模糊滑模控制器的软硬件设计。硬件电路设计中,采用最小系统板和目标功能电路板分离设计的方法,基于最小系统开发板,设计了包括电源模块、输入调理及输出驱动电路的目标功能板;软件设计中,依据控制需求,采用模块化编程思想,给出程序流程图,描述了ABS控制系统的控制过程。指出该滑模控制器为后续的台架试验验证及轿车的主动安全控制装置的集成化研究打下了坚实的基础。     

基于模糊PID的汽车防抱制动系统控制策略的研究

在基于滑移率的ABS控制策略的基础上,建立了11自由度的汽车急转制动仿真模型。提出了一种参数自整定模糊PID控制算法,并采用了Bang-Bang控制和模糊PID控制分别对汽车ABS进行了仿真,其结果表明:模糊PID控制比Bang-Bang控制可以达到更好的效果。     

Improved Vehicle Performance Using Combined Suspension and Braking Forces

This work presents a preliminary investigation into the integration of particular subsystems of an automobile's chassis. The specific focus of this research is the integration of Active Suspension components with Anti-Lock braking (ABS) mechanisms. The performance objective for the integrated approach is defined as a reduction in braking distance over just anti-lock brakes. Several models, of varying degrees of complexity, are presented to determine the effect of modeling accuracy on the potential performance improvement. In the most detailed model, a four degree of freedom Half Car vehicle model is developed along with models for a hydraulic Active Suspension and an ABS system. For both subsystems, actuator dynamics are included. The tire-road interface is modeled using the Magic Formula tire model. Individual controllers are developed for the subsystems and a governing algorithm is constructed to coordinate the two controllers. Simulations of the integrated controller and an ABS system, for each system model, demonstrate a significant increase in performance.     

基于自适应模糊PID控制的ABS仿真研究

在Matlab/Simulink中建立一种两轮的汽车动力模型,以自适应模糊PID和道路识别控制器作为控制模块,通过在高低附着路面和高低附着对接路面进行紧急制动仿真的研究。仿真结果表明道路识别控制器能够快速准确的识别路面不同附着路面最优滑移率,自适应模糊PID控制的ABS相于常规制动性能有了很大程度的提高,具有在线自整定参数的特点,具有很好的稳定性、适应性和鲁棒性。     

全挂汽车列车制动防抱死系统的协调控制

以某型全挂汽车列车为研究对象,分别安装牵引车及挂车两套制动防抱死系统,并建立相关协调模块使两套系统协调工作。运用Matlab/Simulink软件对未安装及安装ABS系统的全挂汽车列车在高附着系数路面上进行直线制动仿真。分析对比仿真结果,证明协调模块使得两套ABS系统顺利工作,挂车与牵引车制动强度相协调,显著提高了列车制动稳定性。     

基于MATLAB的ABS控制仿真研究

ABS是一种变工况、非线性的系统,且建模难度大。分别采用PID控制、模糊PID控制两种方法对单轮汽车模型进行了模拟仿真。其中模糊PID控制可以利用模糊控制规则对PID参数进行在线修改,因而具有较好的自适应能力,可以达到非常好的控制效果。     

High-speed optimal steering of a tractor–semitrailer

A high-speed optimal trailer steering controller for a tractor–semitrailer is discussed. A linear model of a tractor–semitrailer with steered trailer axles is described, and an optimal trailer steering controller is introduced. A path-following controller is derived to minimise the path-tracking error in steady-state manoeuvres using active trailer steering. A roll stability controller is introduced by adding the lateral acceleration of trailer centre of gravity as another objective in the steering controller, so as to improve roll stability in transient manoeuvres. A strategy to switch between these two control modes is demonstrated. Simulation results show that the steering controller can ensure good path tracking of articulated vehicles in steady-state manoeuvres and improve roll stability significantly in transient manoeuvres, while maintaining the path-tracking deviation within an acceptable range. Tests with an experimental tractor–semitrailer equipped with a high-bandwidth active steering system validate the controller design and simulation results. The roll stability controller reduces the measured rearward amplification by 27%.     

Wheel slip control with torque blending using linear and nonlinear model predictive control

Modern hybrid electric vehicles employ electric braking to recuperate energy during deceleration. However, currently anti-lock braking system (ABS) functionality is delivered solely by friction brakes. Hence regenerative braking is typically deactivated at a low deceleration threshold in case high slip develops at the wheels and ABS activation is required. If blending of friction and electric braking can be achieved during ABS events, there would be no need to impose conservative thresholds for deactivation of regenerative braking and the recuperation capacity of the vehicle would increase significantly. In addition, electric actuators are typically significantly faster responding and would deliver better control of wheel slip than friction brakes. In this work we present a control strategy for ABS on a fully electric vehicle with each wheel independently driven by an electric machine and friction brake independently applied at each wheel. In particular we develop linear and nonlinear model predictive control strategies for optimal performance and enforcement of critical control and state constraints. The capability for real-time implementation of these controllers is assessed and their performance is validated in high fidelity simulation.