Online Identification of Morphing Aircraft Model Parameters Based on Recursive Least Square Method
LIU Haodong1，ZHANG Qingzhen1，GUO Yunhe2，MAO Jiawen1
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;
2. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
Abstract：Due to the characteristics of hypersonic morphing aircrafts, such as fast flight speed and wide range of flight altitude, the dynamic model parameters of hypersonic aircrafts are highly uncertain. Therefore, it is necessary to study the online identification method of unknown parameters in the dynamic model of hypersonic morphing aircrafts. In this paper, based on the analysis of the characteristics of flying hypersonic morphing vehicles, the longitudinal small disturbance linear motion equation is selected as the identification model. The recursive least square method is used to identify the parameters of the linear subsystem in the linear motion model of multiple input multiple output (MIMO) systems. The simulation results show that the recursive least square method has high efficiency, fast convergence and high identification accuracy.
刘昊东, 张庆振, 郭云鹤, 茅佳雯. 基于递推最小二乘法的变体飞行器模型参数在线辨识[J]. 空天防御, 2020, 3(3): 103-110.
LIU Haodong, ZHANG Qingzhen, GUO Yunhe, MAO Jiawen. Online Identification of Morphing Aircraft Model Parameters Based on Recursive Least Square Method. Air & Space Defense, 2020, 3(3): 103-110.
