DSP的数学原理及在实时系统的应用

制造系统里所用的微处理器中，单片机只能做逻辑处理和简单数学计算，而数字信号处理器（DSP）可进行相当复杂的数学处理。本文概述DSP的数学原理及其技术特点，介绍了基于DSP智能控制器在制造业中实时测控系统的应用实例。     

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。     

Ada软件的动态测试技术研究

为改善软件质量，对Ａｄａ软件的动态测试技术进行了研究，并且就以下内容着重进行了讨论；Ａｄａ软件的分析与理解；Ａｄａ软件的动态测试原则与方法；Ａｄａ软件的动态测试工具ＡＳＤＴ。     

基于对象关系模型的C＋＋程序静态分析器

面向对象程序设计技术给软件的测试和维护来了新困难。针对这些困难，提出了用于描述程序中对象类之间三种依赖的对象关系图模型，并研究了这一模型在软件测试和维护中的两个具体应用及其相应算法，为了从特定的面向对象程度设计语言Ｃ＋＋编写的程序中提取ＯＲＤ较信息，构造了一个逆向工程工具－Ｃ＋＋程序静态分析器，并对其实现上的一些关键技术进行了介绍。     

CNC数控系统控制软件

本文分析了数控机床控制系统,由硬件NC(Numerical Contro1)向CNC(ComputerNumerical Control)转变时进给速度下降的问题,阐述了解决此问题的一种方法——二次插补方法。指出CNC数控系统是个多重中断系统,论述了将数控的工作按其重要的程度、实时性的高低,安排在不同的优先级,使整个系统协调工作的思想。     

Multi-mode optimal fuzzy active vibration control of composite beams laminated with photostrictive actuators

Firstly, a multi-field coupling finite element formulation of composited beam laminated with the photostrictive actuators is developed in this paper. Moreover, an optimal fuzzy active control algorithm is also proposed on the basis of the combination of optimal control and fuzzy one.This method opens a new avenue to resolve the contradiction between the linear system control method and nonlinear actuating characteristics of photostrictive actuators. The desired control for suppressing multi-modal vibration of photoelectric laminated beam is firstly obtained through optimal control and then the fuzzy control is used to approach the desired mechanical strain induced by photostrictive actuators. Thus, the multi-mode vibration control of beam is realized.In the design process of optimal fuzzy controller, the design of fuzzy control is independent of optimal control. The simulation results demonstrate that the proposed control method can effectively realize multi-modal vibration control of photoelectric laminated beams, and the control effect of optimal fuzzy control is better than that of optimal state feedback control.     

A simple control law for reducing the effective characteristic acceleration of a solar sail

The direction and magnitude of a solar sail acceleration are strongly related. For this reason, once the characteristic acceleration has been fixed, it is not possible to modulate the acceleration in a particular direction. In this work, a semi-analytical switching control law is derived, enabling a solar sail to emulate a smaller effective characteristic acceleration (without changes in geometry or optical properties); by periodically changing the pitch (cone) angle of the sail, in average over time, the acceleration produced by the sail matches exactly (in both direction and magnitude) that of a “smaller” sail. The range in which this is possible is determined, and the limitations on this range due to the size difference is computed. The method is validated on optimal Earth-Mars trajectories.     

Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system

Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gas-path components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms. Because GTE components are mostly inaccessible for direct measurements and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes. In this work, a data-driven fault detection and degradation estimation scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under (a) diverse ambient conditions and control settings, (b) every possible combination of degradation symptoms, and (c) a broad range of signal to noise ratios. The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms.     

RTK model and positioning performance analysis using Galileo four-frequency observations

This paper proposes a real-time kinematic (RTK) model that uses one common reference satellite for the Galileo system with four frequency observations. In the proposed model, the double-differenced (DD) pseudorange and carrier phase biases among the different frequencies are estimated as unknown parameters to recover the integer features of the DD ambiguities among the different frequencies for ambiguity resolution and precise positioning. Analysis results show that the E5a, E5b, and E5 frequencies have virtually the same performance in terms of the positioning accuracy, observation residuals, and ratio values of ambiguity resolution. However, the E1 frequency performs worse than the E5a, E5b, and E5 frequencies. The RTK results for the combination of multiple frequencies are much better than those for a single-frequency observation, the coordinates’ standard deviation is improved about 20–30%, and the ambiguity fix time is improved about 10%.     

基于一致性融合和神经网络的航空发动机气路系统故障诊断方法

以信息融合为基础,运用GRNN神经网络对航空发动机气路系统进行故障诊断,提出了一种基于一致性融合和神经网络相结合的故障诊断方法。试验结果表明,该方法能快速识别航空发动机气路系统故障,并且对其他机械设备的故障诊断具有一定的参考价值。