智能超声气体流量计的研制

本文主要介绍新型智能超声气体流量计的工作原理、仪器结构，并给出内径１２５ｍｍ管道中脉动气流流量检测的初步实验结果和内径７００ｍｍ管道内，流速在３～１３ｍ／ｓ范围内的校准结果。     

Windows下微机与数字化仪信息交换的研究

本文探讨了美国Ｂｏｒｌａｎｄ公司９５年最新推出的面向对象编程软件Ｄｅｌｐｈｉ，实现计算机ｗｉｎｄｏｗｓ环境下与单片机控制的数字化仪信息交换，并在出口德国的超声浓度计及南昌公安交通地图查询系统上调试成功，对智能化电子仪表，ＣＡＤ，ＣＡＭ，计算机控制系统等领域有一定的意义。     

中介公理集合论系统与经典公理集合论系统的关系——形式证明部分

在中介公理集合论系统（ＭＳ）中重新定义了良集的概念，讨论了它的性质。证明良集完全满足经典公理集合论系统（ＺＦＣ－：ＺＦＣ系统中去掉正则公理）的全部公理，且其配套的逻辑系统恰为中介逻辑的二值子系统ＦＩ＊ＭＬ，说明整个经典数学也能奠基于ＭＳ之上，从而最终回答了中介数学与经典数学的包含关系问题。     

虚拟仪器在频率参数计量测试中的应用

介绍了虚拟仪器及其驱动程序，在ＬａｂＶＩＥＷ图形编程环境下所编制的检定分数频率的虚拟仪器驱动软件。     

Ku波段波导扫频双六端口网络分析仪

介绍研制的一种实用Ku波段扫频双六端口网络分析仪。该仪器能同时测量双口网络的4个散射参数及单口网络的复反射系数。     

磁选态单束铯束管束光学参数的模拟计算和设计

为提高铯束管跃迁信号强度,在束光学参数设计中,用蒙特卡罗方法模拟计算铯原子通过率和未跃迁比例。通过改变模拟计算中的束光学参数,分析铯原子通过率、未跃迁比例和倍增器首极电流的变化趋势,得到了主要束光学参数的合理取值范围。在铯束管实际装配和试验中使用束光学参数设计结果,有效地增加了倍增器首极电流。     

Fault Estimation and Accommodation for a Class of Nonlinear System Based on Neural Network Observer

The problem of fault estimation and accommodation of nonlinear systems with disturbances is studied using adaptive observer and neural network techniques.A robust adaptive learning algorithm based on switchingβsmodification is developed to realize the accurate and fast estimation of unknown actuator faults or component faults.Then a fault tolerant controller is designed to restore system performance.Dynamic error convergence and system stability can be guaranteed by Lyapunov stability theory.Finally,simulation results of quadrotor helicopter attitude systems are presented to illustrate the efficiency of the proposed techniques.     

A surface parametric control and global optimization method for axial flow compressor blades

An aerodynamic optimization method for axial flow compressor blades available for engineering is developed in this paper. Bezier surface is adopted as parameterization method to control the suction surface of the blades, which brings the following advantages:(A) significantly reducing design variables;(B) easy to ensure the mechanical strength of rotating blades;(C) better physical understanding;(D) easy to achieve smooth surface. The Improved Artificial Bee Colony(IABC) algorithm, which significantly increases the convergence speed and global optimization ability, is adopted to find the optimal result. A new engineering optimization tool is constructed by combining the surface parametric control method, the IABC algorithm, with a verified Computational Fluid Dynamics(CFD) simulation method, and it has been successfully applied in the aerodynamic optimization for a single-row transonic rotor(Rotor 37) and a single-stage transonic axialflow compressor(Stage 35). With the constraint that the relative change in the flow rate is less than0.5% and the total pressure ratio does not decrease, within the acceptable time in engineering, the adiabatic efficiency of Rotor 37 at design point increases by 1.02%, while its surge margin 0.84%,and the adiabatic efficiency of Stage 35 0.54%, while its surge margin 1.11% after optimization, to verify the effectiveness and potential in engineering of this new tool for optimization of axial compressor blade.     

任务型教学法的任务设计

任务型教学法是新兴的一种强调“在做中学”(learning by doing)的语言教学方法，是我国外语课程教学改革的一个走向，吸收了以往多种教学法的优点而形成。任务是任务型教学法中一个重要概念。要使任务型教学法更好地发挥作用，任务的设计就显得尤为重要。在任务设计中，要注意任务与人本主义、任务与文化性、任务与教师角色之...     

Particle swarm optimization applied to hypersonic reentry trajectories

This paper presents the novel use of the particle swarm optimization(PSO)to generate the end-to-end trajectory for hypersonic reentry vehicles in a quite simple formulation.The velocitydependent bank angle profile is developed to reduce the search space of unknown parameters based on the constrained PSO algorithm.The path constraints are enforced by setting the fitness function to be infinite on condition that the particles violate the maximum allowable values.The PSO algorithm also provides a much easier means to satisfy the terminal conditions by adding penalty terms to the fitness function.Furthermore,the approximate reentry landing footprint is fast constructed by incorporating an interpolation model into the standardized bank angle profiles.Numerical simulations demonstrate that the PSO method is a feasible and flexible tool to generate the end-to-end trajectory and landing footprint for hypersonic reentry vehicles.