An adaptive fuzzy-sliding lateral control strategy of automated vehicles based on vision navigation

Lateral control is considered to be one of the toughest challenges in the development of automated vehicles due to their features of nonlinearities, parametric uncertainties and external disturbances. In order to overcome these difficulties, an adaptive fuzzy-sliding mode control strategy used for lateral control of vision-based automated vehicles is proposed in this paper. First, a vision algorithm is designed to provide accurate location information of vehicle relative to reference path. Then, an adaptive fuzzy-sliding mode lateral controller is proposed to counteract parametric uncertainties and strong nonlinearities, and the asymptotic stability of the closed-loop lateral control system is proven by the Lyapunov theory. Finally, experimental results indicate that the proposed algorithm can achieve favourable tracking performance, and it has strong robustness.     

On the achievable performance using variable geometry active secondary suspension systems in commercial vehicles

There is a need to further improve driver comfort in commercial vehicles. The variable geometry active suspension offers an interesting option to achieve this in an energy efficient way. However, the optimal control strategy and the overal performance potential remains unclear. The aim of this paper is to quantify the level of performance improvement that can theoretically be obtained by replacing a conventional air sprung cabin suspension design with a variable geometry active suspension. Furthermore, the difference between the use of a linear quadratic (LQ) optimal controller and a classic skyhook controller is investigated. Hereto, an elementary variable geometry actuator model and experimentally validated four degrees of freedom quarter truck model are adopted. The results show that the classic skyhook controller gives a relatively poor performance while a comfort increase of 17–28% can be obtained with the LQ optimal controller, depending on the chosen energy weighting. Furthermore, an additional 75% comfort increase and 77% energy cost reduction can be obtained, with respect to the fixed gain energy optimal controller, using condition-dependent control gains. So, it is concluded that the performance potential using condition-dependent controllers is huge, and that the use of the classic skyhook control strategy should, in general, be avoided when designing active secondary suspensions for commercial vehicles.     

On the handling performance of a vehicle with different front-to-rear wheel torque distributions

ABSTRACT

The handling characteristic is a classical topic of vehicle dynamics. Usually, vehicle handling is studied by analyzing the understeer coefficient in quasi-steady-state maneuvers. In this paper, experimental tests are performed on an electric vehicle with four independent motors, which is able to reproduce front-wheel-drive, rear-wheel-drive and all-wheel-drive (FWD, RWD and AWD, respectively) architectures. The handling characteristics of each architecture are inferred through classical and new concepts. The study presents a procedure to compute the longitudinal and lateral tire forces, which is based on a first estimate and a subsequent correction of the tire forces that guarantee the equilibrium. A yaw moment analysis is performed to identify the contributions of the longitudinal and lateral forces. The results show a good agreement between the classical and new formulations of the understeer coefficient, and allow to infer a relationship between the understeer coefficient and the yaw moment analysis. The handling characteristics vary with speed and front-to-rear wheel torque distribution. An apparently surprising result arises at low speed: the RWD architecture is the most understeering configuration. This is discussed by analyzing the yaw moment caused by the longitudinal forces of the front tires, which is significant for high values of lateral acceleration and steering angle.     

农用车技术发展中的一个重要问题──农用车应加强规范

农用车在中国发展迅速。目前有一个重要矛盾，即公称型号与实际使用性能严重不符。修改有关安全法规，加强交通管理，并在技术上将公称型号与性能统一起来，有利于农用车的进一步发展。     

分布式卫星系统自主运行技术研究进展

随着微小卫星技术的不断发展,分布式卫星系统的概念应运而生。然而,由于分布式卫星系统本身的复杂性及其工作环境的动态不确定性,使得系统的测控与运行管理模式由传统的地面测控运营方式向智能化自主运行方式发展。从分布式卫星系统及其自主运行技术的研究进展上,重点讨论了分布式卫星系统自主运行的思想,综述国内外一些研究组织、学者的相关研究成果。最后探讨基于Multi-Agent分布式卫星系统自主运行未来所面临的技术挑战。     

水下直升机运动稳定性分析

文章分析一种新型超机动飞碟形的自主式潜水器—水下直升机的运动稳定性,以实现其在海底复杂的作业任务。采用AYASYS-CFX计算流体力学的仿真模拟技术,分析飞碟形的水下直升机在水平面的机动性和垂直面的运动稳定性等水动力关键技术问题。采用多种数值水池模拟的方法,包括直(斜)航运动和圆池旋臂运动等模拟方法,以计算水下直升机的水动力的稳定性导数、水动力(矩)、随攻角变化的压力中心和阻升比等。在设计航速1 kn的情况下,采用Routh线性水动力导数组成的运动稳定性数学模型,分析其水平及垂直面上的运动稳定性。计算结果说明,水下直升机在水平面上回转运动具有战术直径接近零的超机动能力,同时,在垂直面上具有优于传统鱼雷形潜水器的运动稳定性。     

Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility

This research applies R-Markov Average Reward Technique based reinforcement learning (RL) algorithm, namely RMART, for vehicular signal control problem leveraging information sharing among signal controllers in connected vehicle environment. We implemented the algorithm in a network of 18 signalized intersections and compare the performance of RMART with fixed, adaptive, and variants of the RL schemes. Results show significant improvement in system performance for RMART algorithm with information sharing over both traditional fixed signal timing plans and real time adaptive control schemes. The comparison with reinforcement learning algorithms including Q learning and SARSA indicate that RMART performs better at higher congestion levels. Further, a multi-reward structure is proposed that dynamically adjusts the reward function with varying congestion states at the intersection. Finally, the results from test networks show significant reduction in emissions (CO, CO₂, NO_x, VOC, PM₁₀) when RL algorithms are implemented compared to fixed signal timings and adaptive schemes.     

繁忙铁路干线调度集中调试开通方案的研究

调度集中系统是铁路运输调度集中指挥的重要行车设备，是提高铁路调度指挥效率、保证行车安全的重要系统。以胶济线为背景，详细分析胶济线分散自律调度集中的工程施工、系统调试方案及调度集中系统开通方案，为全路繁忙铁路干线调度集中工程的实施、开通提供参考。     

TPDS、TADS监控结果与车辆运行故障关联性分析

从分析运用和入段检修货车发现的滚动轴承保持架破碎、制动梁端轴裂纹等故障入手，通过查阅相关TPDS、TADS历史监控数据，阐述了车辆运行故障和5T系统监控结果的关联性，指出了目前TPDS、TADS系统在实际运用中存在的问题，提出了加强TPDS、TADS系统监控信息综合应用的建议。     

基于车站子系统一体化配置的分散自律调度集中系统研究

分散自律调度集中系统和计算机联锁系统已经被越来越多地安装使用。但目前这两系统是相互独立的，这就使得车站设备多，故障点多；行车人员需要面对多台终端，不同的控制模式下在不同的终端上进行操作。为此，从统筹、整体、优化、集成的角度出发进行了车站子系统设备的一体化配置，在车站通过通信接口，利用约定的协议实现二者的联系。研究了车站自律及操作表示机的功能实现。