卡尔曼预测及姿态补偿算法研究及在机载天线稳定跟踪系统扰动隔离应用

Study of Algorithm Based on Kalman filter and Attitude Compensation and Its Application in Insulating Carrier Turbulence of Airborne Antenna Tracking System[JZ)][HS)]

摘要:

在机载天线稳定跟踪系统进行目标卫星捕获跟踪的过程中,载体飞机本身所具有的位置变化和姿态变化的动态性能能增强天线跟踪系统工作的灵活性和机动性,但也容易发生由于载体扰动造成的目标跟踪失效;针对目前广泛应用的捷联式稳定跟踪平台,提出了一种隔离载体扰动的融合算法,利用卡尔曼滤波对天线载体的位置进行预测,提前补偿了飞机线运动对稳定跟踪精度的扰动,并给出了方位、俯仰速率陀螺仪构成反馈速度环的姿态补偿算法,建立了以算法为基础的仿真模型;仿真结果表明,该算法模型下的跟踪值更接近于目标卫星的真实值,载体飞机的位置和姿态扰动被有效隔离。

Abstract:

In the process of Airborne Antenna Tracking System capturing and tracking the target satellite,the dynamic performance of the carrier itself which can change the position and attitude would help enhance the flexibility of antenna tracking system,but also it may cause tracking fail due to the carrier turbulence. It brings forward a fusion algorithm to isolate the carrier turbulence of commonly used strapdown stabilized tracking platform,estimating the carrier location of next time using Kalman filter to pre-compensate the disturbance for tracking accuracy caused by line movement of carrier,advancing the attitude compensation algorithm using speed feedback loop of azimuth rate gyroscope and pitch rate gyroscope,establishing the simulation model based on the fusion algorithm. The simulation result confirmed the tracking value of this algorithm accurately approaching the true value of target satellite without disturbed by the position and attitude movement of the carrier.