Research On Auto Loading System’s Diagnostic Equipment Based On Embedded System

Auto Loading electromechanical system, with complex structure andfunctions, is one of the critical parts of launch weapon systems applied in specialenvironment. Its reliability must be enhanced to adapt to the severe environmentof multi-dimensional battlefield in time, space and frequency domains. For thatpurpose, the research on fault diagnosis would obviously be a very importantand meaningful job.This study is a cross subject of embedded system and fault diagnosistechnology. Our tasks of this study are mainly carried on hardware and softwareof the fault diagnosis system. After describing the fault diagnosis technology’sdevelopment situation at home and abroad and summarizing the characteristicsof the embedded technology and its application in fault diagnosis equipments,based on automatic loading organization structure and the work characteristics,this paper puts forward the overall design scheme of the diagnostic equipmentaccording to the Auto Loading system’s performance characteristics.In the hardware design part, a establishing method of the hardwaredevelopment platform based on ARM9 embedded processor S3C2440A is putforward, including a core board and its peripheral expansion circuits andinterface circuits. In the software design part, the building procedure of softwaredevelopment’s environment is detailed, including the using of virtual machineand cross-compilation tools, the transplantation of Linux operating systemkernel and yaffs file system，the constructions of GUI (Graphical User Interface)development platform Qtopia and the design of the interface of LCD touchscreen. Finally，according to the Auto Loading system’s faults’characteristics, a fault diagnostic algorithm of BP neural network which is optimized by geneticalgorithm is studied to be implemented with Matlab tools and the comparedresults between before and after this optimization is analyzed.