振荡中故障选相元件的研究

目前实用的选相元件在系统振荡时可能会误选相,有必要研究能适用于振荡时的选相方案。分析了振荡中再故障时故障回路测量阻抗不变的特征,并在此基础上提出了一种适用于振荡的新型选相元件。该元件结合常规的零、负序故障分量分区和阻抗值比较方法,采用阻抗变化率的判别从可能的故障类型中识别出真正的故障回路,解决了系统振荡时选择性和速动性之间的矛盾。理论分析和EMTP数字仿真计算表明,新的选相方案在性能上较常规选相方案有明显的改善,可以完全克服阻抗法故障识别在振荡中选相的失配问题,并且该方案原理简单,动作可靠,具有很高的工程应用价值。     

一起发电机定子接地故障的分析与处理

文章介绍了海外某大型火力发电厂发生的一起发电机定子接地故障的分析和处理过程,对发电厂类似故障的处理和海外发电厂的运行和维护提供了参考.     

悬停状态下旋翼飞行机器人自适应鲁棒控制

针对加装二自由度绳驱动机械臂的旋翼飞行机器人在悬停条件下的抗干扰控制,提出了一种自适应终端滑模控制策略.将系统分成四旋翼飞行器和机械臂两个子系统,分别采用拉格朗日法与牛顿-欧拉法获得各自的动力学模型.在Lyapunov稳定性框架下设计了旋翼飞行器人的抗干扰轨迹跟踪控制器,并引人自适应策略来估计扰动上界.通过3个仿真算例...     

无色透明聚酰亚胺薄膜低CTE化用关键单体的制备与表征

针对无色透明聚酰亚胺(CPI)薄膜低热膨胀(low-CTE)化研究的应用需求,开展了甲基取代型主链含刚性酰胺键芳香族二胺单体,包括2-甲基-4,4′-二氨基苯酰替苯胺(MeDABA)与2,3′-二甲基-4,4′-二氨基苯酰替苯胺(MMDABA)的结构设计与合成研究.采用甲基取代对硝基苯甲酸或甲基取代对硝基苯胺为原材料,通过酰胺化反应制得了二硝基化合物,然后在Pd/C催化下采用水合肼还原得到了一系列新型二胺基化合物.采用差示扫描量热分析(DSC)、傅里叶红外光谱(FT-IR)、核磁(NMR)、质谱(MS)以及元素分析(EA)等手段表征了制备的二胺单体的化学结构.结果表明成功制得了预期结构的芳香族二胺单体.     

风冷冰箱实际工况及该工况下压缩机效率提升的研究与应用

压缩机是冰箱的核心零部件,压缩机性能是影响冰箱能耗的重要因素.按照规定的试验和数据处理方法研究风冷冰箱实际运行情况下的制冷系统工况,研究发现实际工况较标准工况压缩机负载减少.按实际工况指导压缩机性能设计,并测试优化后的压缩机性能:在标况条件下单机性能下降,但在规定的冰箱实际工况条件下单机性能提升0.5％～4％,选定的整机样品能耗可降低2.2％.     

风冷冰箱实际工况及该工况下压缩机效率提升的研究与应用

压缩机是冰箱的核心零部件,压缩机性能是影响冰箱能耗的重要因素.按照规定的试验和数据处理方法研究风冷冰箱实际运行情况下的制冷系统工况,研究发现实际工况较标准工况压缩机负载减少.按实际工况指导压缩机性能设计,并测试优化后的压缩机性能:在标况条件下单机性能下降,但在规定的冰箱实际工况条件下单机性能提升0.5％～4％,选定的整机样品能耗可降低2.2％.     

布带缠绕机张力PID控制器参数自整定研究

详细介绍了对未知数学模型的布带缠绕机张力PID控制系统进行参数自整定的方法。首先利用过程辨识将控制系统的数学模型近似为一阶惯性加纯延迟形式,得到传递函数表达式,然后利用遗传算法进行PID参数的整定,在整定结果的基础上只需进行微调便可满足控制精度要求。和人工整定相比,该方法极大地提高了整定精确度和效率,有较高的工程应用价值。     

电磁相关法测量传感器励磁线圈轴向长度优化设计

小管径电磁相关法流量测量传感器在石油生产测井领域有着广泛的应用前景,其中,励磁线圈的参数设计是实现该传感器关键技术问题之一。通过对传感器内部测量空间磁场进行理论与传感器测量原理分析,提出了新的磁场评价指标,并在不同流速、不同励磁线圈轴向长度的情况下进行数值仿真,应用新的磁场评价指标与传统的磁场评价指标对比分析,获得了电磁相关法流量测量传感器的励磁线圈轴向长度设计参数,并搭建实验平台进行初步实验验证,为该类传感器励磁线圈的优化设计提供了方案,加快该类测量仪器的开发进程。     

A novel chemical composition estimation model for cement raw material blending process

Raw material blending process is an essential part of the cement production process. The main purpose of the process is to guarantee a certain oxide composition for the raw meal at the outlet of the mill by regulating the four raw materials. But the chemical compositions of raw materials vary from time to time, resulting in difficulties to control the oxide compositions to a predefined value. Therefore, a novel algorithm to estimate the chemical compositions of the raw materials is developed. The paper mainly consists of two parts. In model construction part, a novel constrained least square model is proposed to overcome the deviation introduced by long-term drift of the material components, and the model parameters are estimated with an online strategy. And in validation part, the approach is implemented to two examples including datasets from simulation model and the actual industrial process. The final results show the effectiveness of the proposed method.     

2.7 μm Emission properties of Er3+ doped fluorozirconate glass

Fluorozirconate glass, considered as the most stable heavy metal fluoride glass and excellent host for rare earth ions, has been extensively used for 2.7 μm laser materials due to its low intrinsic loss, wide transparency window, and small phonon energy. In this paper, a novel erbium ion doped fluorozirconate glass was prepared, 2.7 μm emission properties, thermal stability and Raman spectra were investigated and the spontaneous transition probability and branching ratio were calculated and analyzed. It was found that the thermal stability was greatly improved due to the ΔT increased from 59 to 89°C after introducing YF₃ on the basis of ZBLA(ZrF₄-BaF₂-LaF₃-AlF₃). In addition, intensive 2.7 μm emission was observed and the present sample with the addition of Y³⁺ possessed larger 2.7 μm emission cross section (1.12 × 10^?20 cm²) which indicated that this kind of fluoride glasses could potentially be used as an efficient gain media in the 2.7 μm fiber laser system.