基于微分几何的四轮独立驱动车辆运动解耦控制研究

针对车辆在纵向运动和横摆运动时的强耦合关系给车辆动力学控制带来的困难，以四轮独立电驱动车辆作为研究对象，基于微分几何理论设计了车辆系统运动解耦控制方法，将非线性强耦合的四轮驱动车辆动力学系统解耦为纵向和横向两个相对独立运动控制子系统，并设计了鲁棒控制器，以提高抵抗车辆行驶时不确定外力如侧风的干扰能力。基于 Trucksim 软件建立四轮驱动车辆模型，并针对车辆解耦控制策略和抗干扰策略进行了仿真测试。结果表明，相比于无解耦控制的车辆，采用微分几何解耦控制的四轮独立驱动车辆纵向速度偏差降低了 82.1%，横摆角速度偏差降低了80.7%，且微风干扰下的抗干扰能力明显改善，车辆稳定性显著提升。为验证该运动解耦控制策略在实时系统中的控制效果，还进行了硬件在环试验，结果表明，硬件在环试验的结果与仿真结果一致。     

插电式四驱强混汽车整车控制策略开发

在介绍和分析四驱强混系统架构和零部件功能特性的基础上,系统地提出了插电式四驱强混汽车的整车控制策略开发方法,包括考虑整车舒适性的减振控制、整车经济性的再生制动控制和整车驱动模式的切换、AMT换挡控制等策略。由Matlab/Simulink搭建整车控制策略模型并生成代码,目前策略已在奇瑞自主开发的整车控制器上得以实现,并完成了在整车仿真平台上的仿真验证和在插电式混合动力样车上的试验验证,通过对试验数据的分析,验证了该控制策略的可行性。     

Automatic path-tracking controller of a four-wheel steering vehicle

The present paper proposes an automatic path-tracking controller of a four-wheel steering (4WS) vehicle based on the sliding mode control theory. The controller has an advantage in that the front- and rear-wheel steering can be decoupled at the front and rear control points, which are defined as centres of percussion with respect to the rear and front wheels, respectively. Numerical simulations using a 27-degree-of-freedom vehicle model demonstrated the following characteristics: (1) the automatic 4WS controller has a more stable and more precise path-tracking capability than the 2WS controller, and (2) the automatic 4WS controller has robust stability against system uncertainties such as cornering power perturbation, path radius fluctuation, and cross-wind disturbance.     

Robust control for 4WS vehicles considering a varying tire-road friction coefficient

A µ-synthesis for four-wheel steering (4WS) problems is proposed. Applying this method, model uncertainties can be taken into consideration, and a µ-synthesis robust controller is designed with optimized weighting functions to attenuate the external disturbances. In addition, an optimal controller is designed using the well-known optimal control theory. Two different versions of control laws are considered here. In evaluations of vehicle performance with the robust controller, the proposed controller performs adequately with different maneuvers (i.e., J-turn and Fishhook) and on different road conditions (i.e., icy, wet, and dry). The numerical simulation shows that the designed µ-synthesis robust controller can improve the performance of a closed-loop 4WS vehicle, and this controller has good maneuverability, sufficiently robust stability, and good performance robustness against serious disturbances.     

Traction/Braking Force Distribution for Optimal Longitudinal Motion During Curve Following

The optimal tire force distribution to maximize acceleration/deceleration of a four-wheel vehicle during cornering is studied. The objective of this research is to investigate the improvement one can expect from the implementation of different vehicle steering and driving mechanisms. We first identify the upper limit imposed by physical laws by assuming all the four wheels can be individually steered and driven. Practical vehicle configurations such as four-wheel-steering (4WS) and four-wheel-drive (4WD) are then considered. The optimization involves equality and inequality constraints and are solved by nonlinear programming techniques.     

Comparisons of vehicle stability controls based on 4WS,Brake, Brake-FAS and IMC techniques

This paper proposes three different kinds of vehicle stability control systems all based on internal model control (IMC) strategy which are 4WS (4 wheel steer: front- and rear-wheel active steer) IMC, Brake-FAS (brake and front-wheel active steer) IMC and Brake IMC, respectively. Inverse system method is introduced to solve the nonlinearity coupled with brake involved vehicle stability control systems. Based on an 11-DOF (degrees of freedom) Matlab/Simulink^® vehicle model testified by CarSim7^®, simulations combined with different driving manoeuvres and road surfaces are performed, and detailed comparisons and analyses are given based on simulation results.     

面向全矢量线控车辆极限运动的分层式协同控制

装配四轮分布式驱动-转向（4WID-4WIS）底盘的全矢量线控车辆具备多可控自由度、高速稳定性强的特点,是极限工况稳定裕度和安全性较高的理想车型。为了解决全矢量线控车辆在极限工况下纵横向控制冲突危害行车安全的问题,提出一种基于模型预测控制 （MPC） 的分层式车辆纵向和横向运动协同控制方法。建立基于单轨模型的期望运动状态识别方法,设计模型预测控制器转换动力学目标,采用泰勒展开和前向欧拉方法对预测模型进行线性离散化处理;设计基于负荷率的轮胎力优化分配方法,利用反正切轮胎逆模型求解控制执行量。仿真结果表明,协同控制方法能显著提高车辆在不同路面下的极限运动稳定性,更精准地跟踪期望运动状态,扩大稳定裕度,保障行车安全。     

Drive control system design for stability and maneuverability of a 6WD/6WS vehicle

This paper describes a drive controller designed to improve the lateral vehicle stability and maneuverability of a 6-wheel drive / 6-wheel steering (6WD/6WS) vehicle. The drive controller consists of upper and lower level controllers. The upper level controller is based on sliding control theory and determines both front and middle steering angle, additional net yaw moment, and longitudinal net force according to the reference velocity and steering angle of a manual drive, remotely controlled, autonomous controller. The lower level controller takes the desired longitudinal net force, yaw moment, and tire force information as inputs and determines the additional front steering angle and distributed longitudinal tire force on each wheel. This controller is based on optimal distribution control and takes into consideration the friction circle related to the vertical tire force and friction coefficient acting on the road and tire. Distributed longitudinal/lateral tire forces are determined as proportion to the size of the friction circle according to changes in driving conditions. The response of the 6WD/6WS vehicle implemented with this drive controller has been evaluated via computer simulations conducted using the Matlab/Simulink dynamic model. Computer simulations of an open loop under turning conditions and a closed-loop driver model subjected to double lane change have been conducted to demonstrate the improved performance of the proposed drive controller over that of a conventional DYC.     

Distributed and self-adaptive vehicle speed estimation in the composite braking case for four-wheel drive hybrid electric car

Considering the controllability and observability of the braking torques of the hub motor, Integrated Starter Generator (ISG), and hydraulic brake for four-wheel drive (4WD) hybrid electric cars, a distributed and self-adaptive vehicle speed estimation algorithm for different braking situations has been proposed by fully utilising the Electronic Stability Program (ESP) sensor signals and multiple powersource signals. Firstly, the simulation platform of a 4WD hybrid electric car was established, which integrates an electronic-hydraulic composited braking system model and its control strategy, a nonlinear seven degrees-of-freedom vehicle dynamics model, and the Burckhardt tyre model. Secondly, combining the braking torque signals with the ESP signals, self-adaptive unscented Kalman sub-filter and main-filter adaptable to the observation noise were, respectively, designed. Thirdly, the fusion rules for the sub-filters and master filter were proposed herein, and the estimation results were compared with the simulated value of a real vehicle speed. Finally, based on the hardware in-the-loop platform and by picking up the regenerative motor torque signals and wheel cylinder pressure signals, the proposed speed estimation algorithm was tested under the case of moderate braking on the highly adhesive road, and the case of Antilock Braking System (ABS) action on the slippery road, as well as the case of ABS action on the icy road. Test results show that the presented vehicle speed estimation algorithm has not only a high precision but also a strong adaptability in the composite braking case.     

四轮独立驱动与转向试验车悬架系统设计

采用四轮独立驱动与线控转向的试验车悬架系统和传统汽车有较大的差别。文章在详尽分析独立驱动与线控转向试验车特点后,确定了悬架系统的方案并对所设计悬架系统参数进行设计计算。应用CATIA软件进行三维建模;最后应用ANSYS软件对悬架系统中主要零件立柱进行了有限元分析。     

Model-independent self-tuning fault-tolerant control method for 4WID EV

To solve the problem of the existing fault-tolerant control system of four-wheel independent drive (4WID) electric vehicles (EV), which relies on fault diagnosis information and has limited response to failure modes, a modelindependent self-tuning fault-tolerant control method is proposed. The method applies model-independent adaptive control theory for the self-tuning active fault-tolerant control of a vehicle system. With the nonlinear properties of the adaptive control, the complex and nonlinear issues of a vehicle system model can be solved. Besides, using the online parameter identification properties, the requirement of accurate diagnosis information is relaxed. No detailed model is required for the controller, thereby simplifying the development of the controller. The system robustness is improved by the error based method, and the error convergence and input-output bounds are proved via stability analysis. The simulation and experimental results demonstrate that the proposed fault-tolerant control method can improve the vehicle safety and enhance the longitudinal and lateral tracking ability under different failure conditions.     

Lateral handling improvement with dynamic curvature control for an independent rear wheel drive EV

The integrated longitudinal and lateral dynamic motion control is important for four wheel independent drive (4WID) electric vehicles. Under critical driving conditions, direct yaw moment control (DYC) has been proved as effective for vehicle handling stability and maneuverability by implementing optimized torque distribution of each wheel, especially with independent wheel drive electric vehicles. The intended vehicle path upon driver steering input is heavily depending on the instantaneous vehicle speed, body side slip and yaw rate of a vehicle, which can directly affect the steering effort of driver. In this paper, we propose a dynamic curvature controller (DCC) by applying a the dynamic curvature of the path, derived from vehicle dynamic state variables; yaw rate, side slip angle, and speed of a vehicle. The proposed controller, combined with DYC and wheel longitudinal slip control, is to utilize the dynamic curvature as a target control parameter for a feedback, avoiding estimating the vehicle side-slip angle. The effectiveness of the proposed controller, in view of stability and improved handling, has been validated with numerical simulations and a series of experiments during cornering engaging a disturbance torque driven by two rear independent in-wheel motors of a 4WD micro electric vehicle.     

Modeling Human Vehicle Driving by Model Predictive Online Optimization

A driver model is designed which relates the driver's action to his perception, driving experience, and preferences over a wide range of possible traffic situations. The basic idea behind the work is that the human uses his sensory perception and his expert knowledge to predict the vehicle's future behavior for the next few seconds (prediction model). At a certain sampling rate the vehicle's future motion is optimized using this prediction model, in order to meet certain objectives. The human tries to follow this optimal behavior using a compensatory controller. Based on this hypothesis, human vehicle driving is modeled by a hierarchical controller. A repetitive nonlinear optimization is employed to plan the vehicle's future motion (trajectory planning task), using an SQP algorithm. This is combined with a PID tracking control to minimize its deviations. The trajectory planning scheme is experimentally verified for undisturbed driving situations employing various objectives, namely ride comfort, lane keeping, and minimized speed variation. The driver model is then applied to study path planning during curve negotiation under various preferences. A highly dynamic avoidance maneuver (standardized ISO double lane change) is then simulated to investigate the overall stability of the closed loop vehicle/driver system.     

汽车四轮转向技术研究综述

作为线控转向技术的应用场景之一,四轮转向(4WS)技术能够改善车辆低速行驶的灵活性和中高速行驶的操纵稳定性.文章主要从4WS结构方案、控制策略和失效容错方案3个方面进行文献综述,分析当前汽车4WS技术中的主要研究方法和成果,为进一步研发安全可靠的四轮转向系统提供借鉴.     

4WD汽车应用粘性联轴器分析

粘性联轴器这一新装置以其独有的特性在四轮驱动汽车上得到广泛应用，粘性联轴器一经确定结构，即可通过转速差自动调节传递转矩的特性，分析了四轮驱动汽车采用粘性联轴器的可能性，介绍了采用粘性联轴器连接的四轮驱动形式和工作原理，阐述了汽车速度，轮胎滑移率对粘性联轴器转速差的影响。     

Control of semi-active anti-roll systems on heavy vehicles

Semi-active anti-roll systems, with a high and low roll stiffness, or, since cornering is typically a transient event, damping setting have the capacity to improve heavy vehicle stability while having very low power consumption. If a vehicle is travelling around a right-hand bend and a low roll damping setting is selected, the vehicle will roll outwards. If a high damping setting is then selected, the outward roll will be locked-in. When the vehicle enters a left-hand bend, the inward roll becomes locked-in. This has the potential to increase critical lateral acceleration by up to 12.5% if the vehicle's future course can be predicted accurately (e.g. with a Global Positioning System). However, if the vehicle does not follow the expected path, the critical lateral acceleration may be degraded. Exploiting the delay between a steer angle being applied and the lateral acceleration developing could avoid this problem. However, the benefits from such a system are considerably lower, up to a 2.4% improvement in critical lateral acceleration. Hence, a ‘modal control strategy’ is developed aimed at providing high levels of benefit while being robust to deviations from the expected path. The modal strategy is able to provide benefits of up to 11%, while being robust to most deviations.     

Estimation of the vehicle's centre of gravity based on a braking model

A vehicle's centre of gravity (CG) is an important property that affects the vehicle's handing stability, ride comfort and safety. For example, a high CG may lead to a serious traffic accident due to the adverse effects it may have on roll and handling stability. In this paper, we develop a dynamic detection method to obtain vehicle's height that uses a simulation model based on a dynamic analysis during braking. Simulations show that the dynamic detection method is feasible. Experiments with three different vehicles are performed to verify the proposed method. The previously established prediction detection and lifting detection (LD) methods are used for comparison. The experimental results demonstrate that the proposed method has higher accuracy and efficiency than the LD method. Thus, the proposed method is useful for the vehicle detection.     

四轮转向汽车虚拟样机闭环控制操纵动力学仿真

运用ADAMS软件建立了新型四轮转向(4WS)汽车整车虚拟样机模型,利用该模型对比了基于横摆角速度多状态最优控制的4WS汽车同前轮转向(FWS)汽车及其它不同控制算法的阴轮转向汽车(后轮比例于前轮转角算法及后轮转角比例于横摆角速度算法)的操纵稳定性。仿真结果表明,基于横摆角速度多状态最优控制的4WS汽车,其各项评价指标优于FWS汽车以及采用另外两种控制方法的4WS汽车。     

4WID/4WIS电动车建模和特殊工况仿真

介绍了四轮独立驱动/四轮独立转向(4WID/4WIS)电动车的特点,基于Matlab/Simulink搭建了各子系统及整车的动力学仿真模型,设置了该类型电动车特有的驾驶模式选择功能。模型允许对4个车轮输入不同的驱动转矩和转角;考虑了驱动电机、转向电机的动态响应特性。针对4WID/4WIS电动车特有的蟹行、斜行和原地转向工况进行了仿真。结果表明,模型能够较好地反映4WID/4WIS电动车的动力学响应特性。     

某四驱车型传动系统导致的车内轰鸣声研究

四驱传动系统在提升车辆超稳和爬坡性能的同时,带来了严重的车内轰鸣声问题.文章对四驱传动系统导致的车内轰鸣声机理及其控制进行了系统性阐述和讨论,并利用客观测试分析了某款开发中四驱车型产生车内轰鸣声的原因:传动系扭转振动过大和传动轴弯曲模态频率过低.通过调试扭转减振器和传动轴内置动力吸振器方案,显著降低了车内2阶和4阶噪声...