Flight Stability Control of Unmanned Aerial Vehicle Based on Micro Inertia Attitude Adjustment

Xinghua Lu
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Abstract

In the UAV flight, due to the influence of attitude jitter and sensor gyro error, the flight stability is not good. In order to improve the flight stability of the UAV, a new control method of flight is proposed based on micro inertial attitude adjustment, gyroscope, and other sensitive elements are used for information acquisition of attitude data of unmanned aerial vehicle (UAV). Error compensation and filtering is taken based on sensor data of micro AHRS reading, the deflection correction and control of attitude angle are carried out by using high-precision sensor gyroscope, Euler angle method is used to calculate attitude angle, and the collected original data of acceleration and magnetometer is processed by Kalman filtering, multi sensor information fusion method is used for UAV micro inertial attitude adjustment. According to the updated information fusion parameter output, Kalman equation update is taken and flight stability control of unmanned aerial vehicle is obtained. The simulation results show that, the control method has good stability in flight attitude adjustment of UAV, which can realize accurate attitude positioning of UAV, and improve the accuracy and reliability of flight attitude positioning control.
基于微惯性姿态调整的无人机飞行稳定控制
在无人机飞行中,由于姿态抖动和传感器陀螺仪误差的影响,导致其飞行稳定性不佳。为了提高无人机的飞行稳定性,提出了一种基于微惯性姿态调整的新型飞行控制方法,利用陀螺仪等敏感元件对无人机的姿态数据进行信息采集。基于微AHRS读数传感器数据进行误差补偿和滤波,利用高精度传感器陀螺仪进行偏转校正和姿态角控制,采用欧拉角法计算姿态角,对采集的加速度和磁力计原始数据进行卡尔曼滤波处理,采用多传感器信息融合方法进行无人机微惯性姿态调整。根据更新后的信息融合参数输出,对卡尔曼方程进行更新,得到无人机的飞行稳定控制。仿真结果表明,该控制方法在无人机飞行姿态调整中具有良好的稳定性,可以实现无人机的精确姿态定位,提高飞行姿态定位控制的精度和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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