永磁同步电机无传感器控制在电力推进中的应用综述

在高性能的船舶电力推进系统中,通常依靠机械式传感器为推进电机提供准确的转子位置和速度等信息.但受舱室内恶劣环境的影响,传感器的精度可能会下降甚至将信号完全丢失,此时可将无位置/速度传感器控制算法得到的转子相关信息作为备用,从而提高整个控制系统的可靠性.本文以基于矢量控制的永磁同步电机为研究对象,对各种主流的无传感器控制...     

稀土改性冷补材料在国防公路养护中的应用

通过对国防公路路面养护与修补存在问题分析,研究了稀土改性冷补材料的机理,总结了稀土改性沥青路面低温冷补养护材料具备性能良好、操作简便、无专用设备和气候条件要求等特点,该材料在低温条件下修补,既能达到传统热补沥青的要求,又能弥补热补施工的缺点。为未来公路的养护,特别是对国防公路的建设、维修和战时抢修提供了更为有效的方法。     

某地下洞室群分步开挖支护的非连续变形分析

文章分别从岩体的分步支护以及相应的收敛准则两方面对已有的非连续变形分析程序进行了改进,并应用改进的程序分析了含有随机节理的某大型水电站地下洞室群的围岩稳定问题,着重研究了施工因素的影响,突出了对分步开挖支护过程的模拟计算分析,并且通过与实际工程监测值的比较,验证了该方法的有效性。通过围岩破坏区深度和关键点的位移比较了三大洞室(主厂房,主变室,尾调室)不同的开挖顺序对围岩稳定性的影响和重点支护的关键部位,并对支护方案进行了优化。研究结果表明,此工程中先开挖主厂房与尾调室,再开挖主变室为最优开挖顺序,并且尾水调压室为洞室群支护的关键部位,可以通过在关键位置增加锚索支护的方式改善其围岩的应力状态。     

基于GIS的港口防台应急辅助决策与指挥系统研究

台风防御是我国东南沿海各港口＂三防＂工作的重中之重。分析了目前我国港口防台工作的不足之处,提出了利用地理信息技术解决目前存在的问题,设计并开发了港口防台应急辅助决策与指挥系统。在软件整体架构设计、功能模块设计、数据设计等方面进行了研究,并介绍了＂厦门港防台应急指挥系统＂的应用情况。     

Analysis of the effectiveness of control measures to mitigate road dust emissions in a regional network

The effectiveness of control measures to reduce road dust emissions is analyzed using a year’s data of road dust emissions collected with a mobile sampling platform and a survey of road maintenance practices in the Lake Tahoe Basin of Nevada and California US. Attributes such as sweeping practices, anti-icing, shoulder improvement, pavement condition, trackout, and abrasive material from road segments were analyzed with a feature subset selection algorithm. Street sweeping was found to be an effective means of controlling dust emissions from roads. Road dust from dirty tertiary roads served as a continuous source of suspendable material for adjacent high-speed roads in the winter time. To be most effective, emission control strategies require that not only primary roads, but all roads be swept after snow storms to recover applied abrasive material.     

Fast Ferry Smoothing Motion via Intelligent PD Controller

A novel type of control law was adopted to reduce the vertical acceleration of a fast ferry as well as the motion sickness incidence suffered by the passengers onboard by means of a submerged T-foil. Considering the system changing characteristics under high disturbances, a model-free approach was adopted. In addition, an upgraded proportional-derivative (PD) controller with correction terms resulting from a fast-online estimation of the system dynamics was designed. The overall controller, known as intelligent PD (i-PD) controller, was tested, and the obtained results were compared with those of a classic PD controller. The controllers were also tested in a changing environment and at different operating velocities. The results confirmed the effectiveness of the i-PD controller to smooth the motions with low computational cost control schemes. Furthermore, thanks to ability of the i-PD controller to continually update the estimated dynamics of the system, it showed a better reduction in both vertical motions and the seasickness level of the passengers with the needed robustness under external disturbances and system changing parameters.     

深圳地铁永磁同步牵引系统研究分析

牵引传动系统是轨道交通车辆装备实现机电能量转换的“心脏”单元,其性能在某种程度上决定轨道交通车辆的动力品质、能耗和控制特性,是轨道交通车辆节能升级的关键系统。而永磁同步牵引系统以其高效率、高可靠性和低能耗的优势特点,受到轨道交通行业的密切关注。文章阐述深圳地铁10号线永磁同步牵引系统批量装车概况,重点分析永磁同步牵引系统组成及优势,指出推广应用永磁同步牵引系统的经济和社会效益显著。     

Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network

In order to remotely monitor and maintain large-scale complex equipment in real time, China Telecom plans to create a total solution that integrates remote data collection, transmission, storage, analysis and prediction. This solution can provide manufacturers with proactive, systematic, integrated operation and maintenance service, and the data analysis and health forecasting are the most important part. This paper conducts health management for the turbine blades. Elman neural network, and improved Elman neural network, i.e., outputhidden feedback (OHF) Elman neural network are studied as the main research methods. The results verify the applicability of OHF Elman neural network.     

铑催化剂用水合三氯化铑的制备

水合三氯化铑是制备铑催化剂的关键原材料之一。随着化工及汽车行业的发展,对铑催化剂有了更多的需求,由此对水合三氯化铑的需求量越来越大。本文综述了当前铑催化剂的应用,以及其原材料水合三氯化铑制备技术的研究进展,并且展望了未来水合三氯化铑的制备技术。     

Travel time estimation oriented freeway sensor placement problem considering sensor failure

Optimal sensor placement on freeway corridor is of great interest to transportation authorities. However, current traffic sensors are easily subject to various failures. Therefore, it is necessary to incorporate sensor failure into the optimal sensor placement model. In this article, a two-stage stochastic model is proposed for the purpose of travel time estimation on freeway corridor. To balance the effectiveness and reliability, a stochastic conditional value at risk (CVaR) model is also proposed. Since both models are too complicated, a customized genetic algorithm is developed. Numerical experiments show that considering sensor failure makes a significant performance improvement in the sensor placement pattern. Sensitivity analysis is also applied to investigate the impact of a number of allowable sensors and different traffic sensor failure probability.