A multi-class model-based control scheme for reducing congestion and emissions in freeway networks by combining ramp metering and route guidance

The paper proposes a multi-class control scheme for freeway traffic networks. This control scheme combines two control strategies, i.e. ramp metering and route guidance, in order to reduce the total time spent and the total emissions in a balanced way. In particular, the ramp metering and route guidance controllers are feedback predictive controllers, i.e. they compute the control actions not only on the basis of the measured system state, but also on the basis of the prediction of the system evolution, in terms of traffic conditions and traffic emissions. Another important feature of the controllers is that they have a multi-class nature: different classes of vehicles are considered and specific control actions are computed for each class. Since the controllers are based on a set of parameters that need to be tuned, the overall control framework also includes a module to properly determine the gains of the controllers. The simulation analysis reported in the paper shows the effectiveness of the proposed control framework and, in particular, the possibility of implementing control policies that are specific for each vehicle type.     

确定模糊控制最少推理规则数量的原则

提出在柴油机控制系统模糊规则的设计中 ,确定最少模糊推理规则的原则 ,指出在论域为正负偏差时 ,最小隶属函数个数是 3时仍可满足控制精度要求 ;并建立了柴油机模糊PID控制器的三维模糊数学模型 ,该模型被用于一个 4输入 3输出 (4I3O)柴油机模糊控制器的设计中。     

高速公路入口匝道多维可调模糊控制器设计

鉴于入口匝道多维模糊控制器的控制规则库会随着人们控制方面经验的增加而变得愈加复杂,从而造成规则之间的冗余性、兼容性问题.因此,给出入口匝道多维模糊控制器的解析描述,不仅有效地解决了多维模糊控制器控制规则之间的冗余性、兼容性问题,而且通过在不同状态下引入不同加权因子实现了控制器的自调整,使所设计的模糊控制器更能适应实际的高速公路交通需求.最后通过MATLAB仿真得到的结果表明,控制效果令人满意.     

Enhancing grey prediction fuzzy controller for active suspension systems

A grey prediction fuzzy controller (GPFC) was proposed to control an active suspension system and evaluate its control performance. The GPFC employed the grey prediction algorithm to predict the position output error of the sprung mass and the error change as input variables of the traditional fuzzy controller (TFC) in controlling the suspension system to suppress the vibration and the acceleration amplitudes of the sprung mass for improving the ride comfort of the TFC used; however, the TFC or GPFC was employed to control the suspension system, resulting in a large tire deflection so that the road-holding ability in the vehicle becomes worse than with the original passive control strategy. To overcome the problem, this work developed an enhancing grey prediction fuzzy controller (EGPFC) that not only had the original GPFC property but also introduced the tire dynamic effect into the controller design, also using the grey prediction algorithm to predict the next tire deflection error and the error change as input variables of another TFC, to control the suspension system for enhancing the road-holding capability of the vehicle. The EGPFC has better control performances in suppressing the vibration and the acceleration amplitudes of the sprung mass to improve the ride quality and in reducing the tire deflection to enhance the road-holding ability of the vehicle, than both TFC and GPFC, as confirmed by experimental results.     

LonworksTM技术在同步器寿命检测试验台远程监控系统中的应用

本文分析控制系统的结构、原理及控制流程，提高未来对汽车零部试验台控制系统的一种发展方向，即通过智能化网络数据采集与过程控制系统，真正做到在办公室内控制现场设备，察看运行情况，记录运行过程并适时进行调整。基于Lonworks^TM技术的系统是一种可以实现从现场设备到用户操作的监控系统。     

混合动力电动汽车控制策略的研究

主要讨论了并联式混合动力电动汽车的控制策略,详细阐述了控制策略的依据以及控制过程,并给出了控制策略的仿真结果。     

基于道路基础设施的车道追踪控制器算法

基于道路基础设施而实现的车道追踪控制技术是当今智能公路领域的核心研究内容之一。2001年6月研制的车道追踪控制器在交通部公路公路交通综合试验场900m的智能公路测试跑道上实现了车道自动追踪的控制任务，并且控制结果达到并超过ISO／TC204WG14标准化草案NP17361LDWS对车道偏离预警系统的要求。分析了该控制器的结构，推导了该控制器的解析表达式，给出了该控制器的参数，并对实验结果进行了分析。     

柴油机水力测功器试验台的机桨配合模拟及控制

从理论上,对在采用柴油机水力测功的试验台上进行机桨配合模拟的建模与控制问题进行了深入研究.提出了水力测功器的神经网络建模,并对基于神经网络模型的PID控制策略进行了仿真,研制了电控装置.试验表明:论文思路方法有效可行,电控装置较好地解决了机桨负载配合模拟试验中的加载控制难题.     

基于PLC实现工频/变频电源的切换

本文指出了传统的继电器．接触器控制电路的缺点,介绍了以计算机为基础的现代工业控制产品PLC和变频器,目的是要替代传统的控制方法,解决工业控制中工频／变频电源之间的切换问题,实现电动机在工频／变频两种模式下运行,在变频器出现故障时自动切换到工频运行方式并报警。实践证明这种控制方法安全可靠。     

某舰载伺服系统位置控制器设计与仿真研究

基于某舰载伺服系统的仿真模型对系统位置控制器设计了模糊自整定PID＋输入前馈控制等四种控制算法,在MATLAB／SIMULINK环境下进行了仿真比较分析。仿真结果表明,模糊自整定PID＋输入前馈控制可获得更优的控制效果。