基于线性自适应神经网络的摆式列车横向加速度预测研究

阐述了用线性自适应神经网络对即将输入的控制参考信号进行多步在线自适应预测并编程实现的方法。对实测信号的仿真分析表明,线性自适应网络可以以满意的精度对摆式列车横向加速度进行多步预测,有效解决由于各种因素造成的滞后补偿问题。     

直线感应电机模型分析与转差频率控制研究

介绍了考虑端部效应后直线感应电机在两相同步旋转坐标系下的数学模型,并对速度与反应板对端部效应的影响进行了分析。在此基础上讨论了直线感应电机转差频率控制方案的可行性,并给出了控制方案。采用Matlab／Simulink构建了直线感应电机数学模型并对其转差频率控制进行了仿真。仿真结果验证了控制方案的可行性。     

拖曳线列阵声呐及其左右舷分辨方法概述

概述了拖曳线列阵声呐的发展概况,重点总结了国内外拖曳线列阵声呐左右舷分辨方法的发展情况,包括传统单根线列阵左右舷分辨方法、三元水听器组左右舷分辨方法、双线阵左右舷分辨方法和矢量水听器线列阵左右舷分辨方法等。本文对于拖曳线列阵声呐的相关研究具有一定的参考价值。     

一种基于系统保形解耦的力源识别方法

基于模态分析法的力源时域识别方法中涉及利用模态矩阵将系统方程转化为非耦合形式,这仅对比例阻尼或经典阻尼系统才能实现。文章基于二阶系统保结构解耦方法建立了新的力源识别数学模型。首先利用Lancaster结构建立系统的解耦模型,并求得解耦变换;其次,利用解耦变换推导建立系统非耦合响应模型,并在微小时段内力源为线性变化的假设下,推导出具体的力源识别公式。最后,采用精细逐步积分方法,对模型进行解算,由结构动态响应反求力源的时间历程。数值实验不仅验证了所提方法可以提高识别精度,而且也验证了所提方法对非比例阻尼系统也是有效的,这也是文中方法的重点。     

The multi-objective railway timetable rescheduling problem

Unexpected disruptions occur for many reasons in railway networks and cause delays, cancelations, and, eventually, passenger inconvenience. This research focuses on the railway timetable rescheduling problem from a macroscopic point of view in case of large disruptions. The originality of our approach is to integrate three objectives to generate a disposition timetable: the passenger satisfaction, the operational costs and the deviation from the undisrupted timetable. We formulate the problem as an Integer Linear Program that optimizes the first objective and includes $\epsilon$-constraints for the two other ones. By solving the problem for different values of $\epsilon$, the three-dimensional Pareto frontier can be explored to understand the trade-offs among the three objectives. The model includes measures such as canceling, delaying or rerouting the trains of the undisrupted timetable, as well as scheduling emergency trains. Furthermore, passenger flows are adapted dynamically to the new timetable. Computational experiments are performed on a realistic case study based on a heavily used part of the Dutch railway network. The model is able to find optimal solutions in reasonable computational times. The results provide evidence that adopting a demand-oriented approach for the management of disruptions not only is possible, but may lead to significant improvement in passenger satisfaction, associated with a low operational cost of the disposition timetable.     

Timetable optimization models and methods for minimizing passenger waiting time at public transit terminals

This paper focuses on developing mathematical optimization models for the train timetabling problem with respect to dynamic travel demand and capacity constraints. The train scheduling models presented in this paper aim to minimize passenger waiting times at public transit terminals. Linear and non-linear formulations of the problem are presented. The non-linear formulation is then improved through introducing service frequency variables. Heuristic rules are suggested and embedded in the improved non-linear formulation to reduce the computational time effort needed to find the upper bound. The effectiveness of the proposed train timetabling models is illustrated through the application to an underground urban rail line in the city of Tehran. The results demonstrate the effectiveness of the proposed demand-oriented train timetabling models, in terms of decreasing passenger waiting times. Compared to the baseline and regular timetables, total waiting time is reduced by 6.36% and 10.55% respectively, through the proposed mathematical optimization models.     

埋地管道外覆盖层绝缘电阻率计算及应用

外覆盖层是埋地钢质管道免遭外界腐蚀的第一道防线,其保护效果直接影响着管道整体的运行效率,而管道外覆盖层电阻率是评价外覆盖层状况好坏的最主要因素.运用线传输理论,通过将管地系统简化为一个集中参数等效电路,建立了埋地钢质管道外覆盖层绝缘电阻率的计算模型,并给出了管地系统参数的具体确定方法,开发了外覆盖层绝缘电阻率的计算软件.利用PCM检测数据,基于建立的Rg计算方法,能够实现对Rg值的计算.实践表明:计算结果能够很好地反映实际情况,具有一定的工程应用价值.     

一种考虑港城互动发展的线性回归模型

如果自变量确定,直接建立自变量x和因变量y的关系y=f（x）,则可以很好地预测y。而在自变量与因变量都不确定的情况下,建立x与y的关系y=f（x）,或者x=g（y）都不合理。本研究提出一种新的预测方法,即建立综合推导公式来预测x与y。通过实例证明,此公式能使x与y相互推导的总误差最小,是可行的。     

HTS磁体的失超判别

高温超导磁体的失超过程比较缓慢,失超判别很困难。本文提出定性的失超判别方法：在电流恒定的前提下,若磁体电压持续上升,则认为磁体失超。对试验数据进行线性拟合,提出失超判别的数学表示形式：磁体电压的变化率dV／dt〉0。