基于受扰动的PMSM系统动力学研究及模拟

借助Lyapunov函数稳定性理论和最优化理论研究了永磁同步电动机系统解的界,得到了它的界估计。通过计算机模拟,数值模拟验证了计算理论的可行性。     

河工模型量测控制系统设计与应用——以赣江下游尾闾整治工程为例

赣江下游尾闾综合整治工程物理模型建于室外,且模拟河流多级分叉,对整个模型测控系统运行的可靠性以及室外的防雷性能提出了更高的要求。在分析现场情况的基础上,提出了一套较为先进的模型量测控制系统总体设计方案,控制系统由平水塔供水系统、流量控制系统、水位与流速测量系统、尾门控制系统、防雷接地系统、地形测量系统等量测子系统组成。简要介绍了各测量子系统工作原理,设计方案及实际应用情况,系统应用现代网络技术及高性能自动化测量仪器,可实现模型试验中各种参数的实时采集、控制和数据处理。试验结果表明,该测控系统可满足模型试验的测控需求。     

不确定视角下改进TOPSIS法的工程评标模型研究

评标质量决定中标者与招标项目的契合程度,但受经验知识和主观判断等影响,定性指标的量化过程易带有主观模糊性,从而影响结果准确度。为减少模糊因素对评标结果的负作用,引入Z-number模糊数识别定性指标的不确定性,依据熵值原理客观确定评标指标及评标专家权重,TOPSIS法集成指标值,构建基于Z-number理论的改进TOPSIS法评标模型。结果表明,提议方法不仅能明晰度量定性指标值本身的模糊程度,还实现了指标值不确定性的针对化削减。同时,在有效避免主观赋权带来的不确定性基础上,该方法也克服了指标间的不可公度性。通过示例分析与敏感性分析验证了模型的实效性与稳定性。     

严寒地区大型倒虹吸工程管道应力及水力安全控制

新疆北疆供水工程跨越吉拉沟大洼槽的三个泉倒虹吸,跨度11 km,内径2.8 m,工作水头160m,是国内外同类工程中综合难度较高的大型倒虹吸工程,在结构强度、材料工艺、安装敷设、工程质量方面都有极高的要求,特别是高水头管道运行、充水、放空、水锤防护等各种工况下的水力安全控制问题,高温差与严寒条件下管道的应力应变问题尤为突出。对该工程设计、科研、施工及运行管理方面的经验进行介绍,对其在新技术、新材料、新工艺等方面取得的理论研究和技术创新成果进行总结,研究认为:工程总体布置合理,工程运行后监测资料及工程安全评价表明各项性状指标良好,通过模型试验研究确定的闸门开度、关闭速率、充水排气、放空排水等水力安全控制关键技术科学合理,为严寒地区大型倒虹吸工程的技术发展提供借鉴。     

向家坝右岸电站水轮机低水位运行性能预测分析

以向家坝右岸电站水轮发电机组模型试验数据为基础,对其在初期低水位状态下运行的水力特性进行了初步预测,并通过低水位下水轮机实际运行试验数据与模型试验预测结果的对比分析,验证了模型试验预测的准确性,可以作为向家坝右岸水轮发电机组在蓄水初期低水位下运行情况的初步参考依据。     

阿尔塔什水利枢纽工程深厚砂砾石覆盖层混凝土防渗墙施工技术研究

阿尔塔什水利枢纽工程是我国在建面板堆石坝工程之一,其深厚的砂砾石覆盖层和庞大的坝体,在施工和运行过程中均会对防渗墙的应力应变产生较大的影响,处理不好直接会影响到大坝整体防渗效果和工程安全。如何在保证施工质量的前提下,优化施工方案,改善防渗墙应力状况,是施工技术研究重点。通过对防渗墙的受力特性、深厚覆盖层的工程特性分析和研究,从防渗墙成墙槽段划分、墙段连接技术、强漏失地层成槽技术和固壁泥浆配比等关键技术上进行优化和改进,有效的消减了防渗墙在坝体填筑和蓄水过程中的应力应变集中,保证防渗墙的成墙质量和运行效果。     

泄水建筑物下游冲刷坑二维数值模拟

对巨亭水电站泄水建筑物下游局部冲刷过程进行了二维数值模拟。采用RNG k-ε湍流模型封闭N-S方程、有限体积法在计算网格上离散求解、VOF方法追踪自由水面;采用C语言编写用户自定义函数,以泥沙起动切应力作为床面泥沙起动判别标准,通过分析比较水流剪切力与泥沙起动切应力大小,用以控制冲刷坑底部边界变化;采用局部重构模型和弹簧光顺模型更新计算区域和网格质量,藉以模拟和追踪局部冲刷坑边界变化。研究表明,模拟结果与实测资料符合良好。在冲刷坑的冲刷过程中,床面剪切应力随着冲刷的进程急剧减小,湍动能随着冲刷的进程减小缓慢;床面剪切应力和湍动能沿程变化均较为剧烈,床面剪切应力沿程先增大后减小,床面湍动能则沿程减小。冲刷坑的纵向平衡形态或床面泥沙起动主要决定于床面剪切应力,床面湍动能对泥沙起动也具有重要影响。     

A comprehensive approach to evaluating watershed models for predicting river flow regimes critical to downstream ecosystem services

Selection of strategies that help reduce riverine inputs requires numerical models that accurately quantify hydrologic processes. While numerous models exist, information on how to evaluate and select the most robust models is limited. Toward this end, we developed a comprehensive approach that helps evaluate watershed models in their ability to simulate flow regimes critical to downstream ecosystem services. We demonstrated the method using the Soil and Water Assessment Tool (SWAT), the Hydrological Simulation Program–FORTRAN (HSPF) model, and Distributed Large Basin Runoff Model (DLBRM) applied to the Maumee River Basin (USA). The approach helped in identifying that each model simulated flows within acceptable ranges. However, each was limited in its ability to simulate flows triggered by extreme weather events, owing to algorithms not being optimized for such events and mismatched physiographic watershed conditions. Ultimately, we found HSPF to best predict river flow, whereas SWAT offered the most flexibility for evaluating agricultural management practices.     

FAULT DIAGNOSIS OF HYDRAULIC SERVO SYSTEM USING THE UNSCENTED KALMAN FILTER

Fault occurrence can be embodied by the physical parameter variations of the hydraulic servo system. Faults can, therefore, be diagnosed according to the model coefficient variations of the hydraulic servo system. This paper proposes an approach for fault diagnosis based on the unscented Kalman filter (UKF) with a mathematical model of the hydraulic servo system. The mathematical model is established using the dynamic equations of the hydraulic servo system. Based on the fault mechanism analysis results, several important system model parameters that can separately represent different faults in different components of the hydraulic servo system are chosen. Discrete state space equations are derived from the dynamic equations. The UKF algorithm is used to estimate the important system model parameters of the hydraulic servo system by utilizing the discretized state space model. According to the variations of these model parameters, the fault modes and locations of the hydraulic servo system can be diagnosed and isolated. Two types of faults, namely, abrupt fault in servovalve gain and slow wear fault in hydraulic cylinder piston, which cannot be directly detected from the system output, are introduced individually to the hydraulic servo system in this work. By comparing with the extended Kalman Filter, three different experimental cases are used to validate the effectiveness of the UKF for hydraulic servo system fault diagnosis.     

基于DSP交流永磁同步电机伺服系统的设计

以当前最先进的数字信号处理芯片TMS320F2812为核心控制单元,尝试设计永磁同步电机伺服系统,包括系统硬件电路设计、系统控制策略与软件设计．