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。     

船舶电缆自动化敷设系统设计与实现

在船舶电缆敷设过程中,很难借助有效的工装提高劳动效率,低空间的高强度作业存在严重的安全风险。以船舶电缆自动化敷设系统为分析对象,介绍系统组成和系统接口,采用比例积分微分(Proportion Integration Differentiation,PID)算法计算系统行程,通过PROFINET总线完成数据传输,以人机界面(Human Machine Interface,HMI)实现系统性能要求。在风电安装平台上的实际运用表明,该系统可解决造船行业劳动力成本高和安全风险大的问题。     

基于有限元分析的五相感应电机参数计算

以自行设计的一台五相感应电机为例,分析了多相感应电动机内部的电磁关系,建立了多相感应电机二维静、瞬态电磁场考虑边界条件的偏微分方程,并在此基础上,对五相感应电动机的暂、稳态电磁场和电机性能进行计算;分别应用场算和路算方法计算了励磁电感,并与设计值进行对比,结果表明本文所用的电磁场计算方法准确有效。     

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.     

小直径盾构施工中管片纵向应力监测研究

为了探索小直径盾构法隧道在施工过程中管片纵向应力的变化规律,对北京槐房再生水厂污水隧道管片纵向应力进行了现场监测:将第976环、第1 054环管片分别设为第1和第2监测断面,2监测断面各预埋5个纵向应力计,各监测断面从本监测断面管片安装后即开始监测,当盾构掘进至第1 129环时停止监测。研究表明:1)在管片离开盾尾50环后,其纵向应力波动值小于管片拼装期间应力值的5%。2)在盾构掘进期间,管片距离盾构越远,其纵向压应力值越小。3)在管片拼装期间,管片距离盾构越远,其纵向压应力经历了先增大后减小的过程。4)管片距离盾构108环后,该管片纵向压应力趋近于0.2~0.3 MPa。5)随着盾构推进,管片纵向应力经历了4个阶段的变化过程,即周期性剧烈波动阶段—动态稳定阶段—逐渐衰减阶段—趋于稳定阶段。     

混凝土箱梁温度作用的参数分析

根据非稳态导热偏微分方程,施加合适的边界条件,用有限元法进行了混凝土箱梁温度场的参数分析,并确定了影响混凝土箱梁温度场的主要因素。研究表明,混凝土箱梁的截面尺寸、所用混凝土的热物理性质以及气温对混凝土箱梁的竖向最大温度的影响均不大,对混凝土箱梁竖向温度梯度影响最大的是太阳辐射强度。