基于神经元PID控制的无人机DSP飞控系统设计  

A UAV Flight Control System Using DSP Based on Neuron PID

作　　者：何清华[1] 黄斌[1] 贺继林[1] 刘银春[1] 杨敏[1] 

机构地区：[1]中南大学机电工程学院

出　　处：《空军工程大学学报（自然科学版）》2008年第2期1-5,共5页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：湖南省科技计划重点项目(2007FJ1006)

摘　　要：航空科学技术的进步和应用领域的扩展不断推进着无人机飞控系统向着高精度、低功耗和小型化方向发展。针对小型无人机飞控系统在功耗、成本、可靠性以及集成度等方面的较高要求,设计了一种基于Freescale M56F807型DSP和神经元PID控制策略的飞控系统,详细阐述了系统的设计思想以及硬件、软件基本结构和控制策略。采用了时域信号的取样积累平均方法,减少了算法的实现难度,提高了采样精度。对硬件设计中的关键技术进行了研究和探讨,所设计的系统具有设计精炼,可靠性高,开放性好等优点,取得了较好的实验效果。基于DSP的现代高速数字处理飞控系统,能够赋予无人机更大的机动性、更高的灵活性和更广泛的适用性。The progress of the science and technology of aviation and expansion of application are advancing the development of the flight control system of UAV in the direction of high precision, low consumption and miniaturization. A flight control system using Free Scale M56FS07 DSP as processor based on neuron PID is designed, which is aimed at the demands of power, cost, reliability and integration from small UAV. The design scheme, hardware and software structure and control strategy are expatiated based on the model of certain type UAV. The difficulty of the algorithm is reduced, and the precision of sampling is improved by using the method of taking a sample and accumulating the average value of the time domain signal. The key techniques related to hardware design are investigated. The system designed has the advantage of simple structure, high reliability and opening. Better experiment results have been made. The digital processing flight control system based on DSP can give the UAV greater mobility, higher flexibility and more extensive applicability.

关 键 词：神经元 PID 无人机 DSP 飞控系统 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]