基于神经网络技术的数字信号处理飞控系统设计

A flight control system using DSP based on neural networks technology

针对无人机性能指标和体积限制,设计一种基于TMS320C5402型数字信号处理器的新型飞控系统。详细阐述系统的设计思想以及软、硬件结构和控制策略,给出相应的飞控流程图与神经网络动态逆控制原理图。通过在环回路仿真验证,所设计的系统具有计算速度快、可靠性好等优点,能够赋予无人机更大的机动性和更广泛的适用性。

A new type of flight control system based on TMS320C5402 is designed, which aims at the performance of Unmanned Aerial Vehicle （UAV） and the limitation of volume. The design scheme, hardware and software structure and control strategy are expatiated. The corresponding flight control flow chart and the schematic diagram of neural network dynamic inverse control are proposed. The design is noted for its calculation speed and high reliability by in-the-loop simulation and it can give the UAV greater mobility and more extensive applicability.