在对空空导弹自动驾驶仪各功能模块需求和能力分析的基础上,以组件的重用和可扩展为目标,运用HLA技术划分各联邦成员,成功组建神经网络自动驾驶仪分布式仿真系统。设计过程中的关键技术如对FOM/SOM设计和Simulink模型代码转换分别做了研究,给出了基于Matlab/Simulink所建立的空空导弹自动驾驶仪神经网络控制算法与HLA集成的一个工程样例。

Based on the analysis of autopilot of air-to-air missile function modules demand and ability, aiming at improving components reusability and system extensibility, using HLA distributed technology to carry function partition Distributed simulation system about autopilot based on neural network was established successfully. The key techniques during designing this system, such as FOM/SOM design and code conversion of Simulink models were studied and presented a sample of autopilot of air to air-missile control system from Matlab/Simulink to HLA federation. Simulation result shows that the simulation system meets user s needs perfectly, and each component can be customized due to individual needs.