一种飞行器弹性新型控制方法研究

Research on a New Control Method for Air-vehicle Elasticity

关键词:  弹性频率；预示精度；稳定裕度；机动能力  扩维Kalman滤波

Key words:  Elastic frequency  Prediction precision  Stability margin  Maneuver ability  Extended Karman filtering

摘要:

针对新一代飞行器长细比增加和结构复杂等特征带来弹性频率变低、预示精度差的现象，提出了一种新型弹性控制方法，解决了传统弹性滤波方法带来的控制系统稳定裕度严重不足、机动能力弱的难题。该方法基于扩维Kalman滤波算法建立了系统方程和输出方程，并进行了仿真。仿真结果表明，能够实现刚体信息的快速提取，而且系统滞后小，能大幅提升飞行器作战边界和控制精度。

Abstract:

Based on the phenomenon of low elastic frequency and low frequency prediction precision caused by the characteristics such as the big slenderness ratio and complex structure of new air vehicles, a new control method for air-vehicle elasticity is put forward, which effectively solves the difficult problems of short stability margin and weak maneuver ability of the control system with traditional elasticity filtering algorithm. The system formula and output formula are established by the method based on extended Kalman filtering algorithm and the simulation is carried out. The result shows rapid acquisition of rigid body information and low system lags, which can greatly broaden the fight borders and improve the control precision for air vehicle.