析构时间相关模型的面对称飞行器机动估计

针对现代战机大机动规避时机动加速度估计困难的问题,提出一种基于动力学析构时间相关运动模型(DTDM)的面对称飞行器目标机动估计算法。首先考虑面对称飞行器的大机动过载主要由主升力面升力产生,将飞行器动力学方程析构简化为主升力面过载和主升力面滚转角耦合的时间相关模型。然后,基于分段定常系统(PWCS)可观测性理论和奇异值分解(SVD)法对模型的可观测性进行分析,结果表明其可观性优于改进"当前"统计模型(MCSM)和Jerk模型。最后使用容积卡尔曼滤波(CKF)算法对战机大机动规避的典型场景进行数学仿真,仿真结果表明本文所提模型对面对称飞行器目标的大机动过载估计精度优于MCSM和Jerk模型。

Maneuvering Estimation for PlanesymmetricAircraft Based onDestructive Timedependent Model

To solve the difficulty of estimating maneuveringacceleration during large maneuvering of a plane symmetricaircraft, a target maneuvering estimation algorithm based on dynamicdestructive time dependent motion model (DTDM) isproposed in this paper. Firstly, the dynamic model of the plane symmetric aircraft is decomposed and simplified. Considering thatthe maneuvering acceleration of the plane symmetricaircraft is mainly generated by the main lift from wing surface, the dynamicequation is simplified to a time dependent model of themagnitude and direction of the main lift. Then, the observability of theproposed model is analyzed according to the observability theory of piece wise constant systems(PWCS) and singular value decomposition (SVD),and it is validated that the observability of the model is better than that ofthe modified “current” statistical (MCSM) motion model and Jerk model. Finally, the mathematicalsimulations using the Cubature Kalman filter (CKF) algorithm are performed onthe typical scenario of modern fighter escaping with large maneuvering. Theresults show that the estimation accuracy of large maneuver of plane symmetric aircraft based on DTDM is better than the accuracy of MCSMand Jerk.