基于嵌入式技术的某自动装填系统诊断仪的研究

发布时间：2018-05-01 13:37

本文选题：自动装填 + 嵌入式　；参考：《中北大学》2012年硕士论文

【摘要】：自动装填机电系统已经成为发射类武器系统的关重部件，是一种结构和功能复杂且工作环境特殊的机电系统。为了适应立体式战场在时、频、空域复杂且恶劣的作战条件，必须提高其工作的可靠性，为此对其在故障诊断方面的研究显然是十分有意义的。本课题是嵌入式系统与故障诊断技术的交叉选题，主要针对某型坦克自动装填机电系统的故障诊断的软硬件技术展开研究。本文在总结了国内外故障诊断技术发展概况及嵌入式技术及其在故障诊断设备应用情况的基础上，针对自动装填机构的工作特点，，提出了自动装填系统故障诊断仪的总体设计方案。在硬件设计部分，首先介绍了基于ARM9嵌入式处理器S3C2440A的开发平台的构建方法，主要包括核心电路以及外围扩展电路和接口的设计。而后，在软件设计部分，详细说明了软件开发环境的创建过程，包括虚拟机和交叉编译工具的使用，Linux操作系统内核、yaffs文件系统的移植及GUI图形用户界面开发平台Qtopia的构建，并在此基础上设计了LCD触摸屏的显示操作界面。本文最后针对自动装填系统的故障特点，研究了基于BP神经网络的故障诊断算法，并在此基础上用遗传算法对其实施改进，最后利用Matlab工具实现诊断过程并对优化前后的结果作了比较。
[Abstract]:Automatic loading mechanical and electrical system (AMSM) has become an important part of launch weapon system. It is a kind of mechanical and electrical system with complex structure and function and special working environment. In order to adapt to the complex and bad operational conditions of three-dimensional battlefield in time, frequency and airspace, the reliability of its work must be improved. Therefore, it is of great significance to study its fault diagnosis. This topic is the cross topic of embedded system and fault diagnosis technology. It mainly focuses on the software and hardware technology of fault diagnosis for a tank automatic loading electromechanical system. On the basis of summarizing the development of fault diagnosis technology at home and abroad and the application of embedded technology in fault diagnosis equipment, this paper aims at the working characteristics of automatic loading mechanism. The overall design scheme of fault diagnosis instrument for automatic filling system is presented. In the part of hardware design, firstly, the method of constructing the development platform based on ARM9 embedded processor S3C2440A is introduced, which mainly includes the design of core circuit, peripheral expansion circuit and interface. Then, in the part of software design, the creation process of software development environment is explained in detail, including the use of virtual machine and cross-compiling tools, the porting of Linux operating system kernel / yaffs file system and the construction of GUI graphical user interface development platform (Qtopia). On this basis, the display interface of LCD touch screen is designed. Finally, according to the fault characteristics of the automatic filling system, the fault diagnosis algorithm based on BP neural network is studied, and the genetic algorithm is used to improve the fault diagnosis algorithm. Finally, the diagnosis process is realized by using Matlab tool and the results before and after optimization are compared.
【学位授予单位】：中北大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TJ811;TP368.1

【参考文献】