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Real-time estimation of dynamic lever arm effect of transfer alignment for wing's elastic deformation

机译:机翼弹性变形传递准直动态杠杆臂效应的实时估计

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When the carrier does angular motion, the different installation position between master strapdown inertial navigation system (M-SINS) and the wing-mounted slave strapdown inertial navigation system (S-SINS) will lead to lever arm effect, which seriously affects the accuracy of transfer alignment of S-SINS. In practical flight, wing's elastic deformation will change the length of lever arm and lead to dynamic lever arm effect. This paper presents a real-time dynamic lever arm estimation method. The proposed method estimates the length of the dynamic lever arm in real time by adding the length into state variables of transfer alignment. Firstly, the relationships of the length of lever arm with lever-arm velocity error and lever-arm acceleration error are established, and both of them are added into the error equations of S-SINS system as parameters to establish the complete error equations of S-SINS system with lever arm effect error. Then, the filter model of S-SINS system is designed. On the one hand, the state matrix is derived according to the error equations of S-SINS, which contains the length of lever arm as state variable. On the other hand, the measurement equation is inferred from the relation between the output of M-SINS and S-SINS with velocity plus angular velocity matching method. Finally, the length of dynamic lever arm is estimated by unscented Kalman Filter (UKF) as one of state variables. The estimated length of dynamic lever arm can be used to calculate lever-arm velocity error and lever-arm acceleration error. To validate the proposed method, a simulation experiment is conducted in MATLAB. The simulation experiment uses second-order Markov process to simulate the elastic deformation of wing. The simulation results indicate that the proposed method is able to estimate the change of the dynamic lever arm caused by the elastic deformation of wing in real-time, and achieves the high accuracy estimation of misalignment angle after compensating the lever arm effect error.
机译:当托架进行角运动时,主捷联惯性导航系统(M-SINS)与机翼安装从副捷联惯性导航系统(S-SINS)之间的安装位置不同将导致杠杆效应,严重影响操纵臂的精度。 S-SINS的转移对准。在实际飞行中,机翼的弹性变形会改变杠杆臂的长度,并导致动态杠杆臂效应。本文提出了一种实时动态杠杆臂估计方法。所提出的方法通过将长度添加到传递对准的状态变量中来实时估计动态杠杆臂的长度。首先建立杠杆臂长度与杠杆臂速度误差和杠杆臂加速度误差的关系,并将二者作为参数加入到S-SINS系统的误差方程中,建立S的完整误差方程。 -SINS系统,杠杆臂效应错误。然后,设计了S-SINS系统的滤波器模型。一方面,根据S-SINS的误差方程导出状态矩阵,其中包含杠杆臂的长度作为状态变量。另一方面,用速度加角速度匹配法从M-SINS和S-SINS的输出之间的关系推导测量方程。最后,动态杆臂的长度由无味卡尔曼滤波器(UKF)估计为状态变量之一。动态杠杆臂的估计长度可用于计算杠杆臂速度误差和杠杆臂加速度误差。为了验证所提出的方法,在MATLAB中进行了仿真实验。仿真实验采用二阶马尔可夫过程来模拟机翼的弹性变形。仿真结果表明,该方法能够实时估计机翼弹性变形引起的动态杠杆臂变化,在补偿杠杆臂效应误差后,可以实现高精度的偏心角估计。

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