摘要
采用机理分析和系统辨识相结合的方法,以直升机机体和伺服小翼的力矩平衡方程为基础,根据滞空状态的特性,建立含有未知参数的超小型旋翼无人机姿态模型,由飞行数据采用预测误差法(PEM)对上述姿态模型进行了辨识,从而得到了完整的滞空状态下超小型旋翼机系统的姿态模型,最后验证了辨识模型的正确性。
By reasonably predigesting the characteristics of the under actuated sub-mini rotorcraft, the equation of the moment equations of helicopter body and the flybar was established. Then through dealing with above equations, the attitude model of under actuated sub-mini unmanned rotorcrafl, which contained input variable, output variable and some unknown parameters, was set up. Then the prediction error method used the real flying data to identify above the attitude model. At last, the valid of the identified attitude model was testified.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第1期7-10,32,共5页
Journal of System Simulation
基金
国家自然科学基金(50405046
60605028)
上海市优秀青年教师培养计划(04Y0HB094)
上海教委基金(2006AZ021)
教育部高等学校重点学科建设项目(Y0102)
上海市重点学科建设项目(BB67)资助。
关键词
超小型旋翼无人机
系统辨识
滞空状态
姿态模型
sub-mini unmanned rotorcraft
system identification
hovering
attitude mode