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

机译:基于微惯性姿态调整的无人空中车辆飞行稳定性控制

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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.
机译:在UAV飞行中,由于姿态抖动和传感器陀螺误差的影响,飞行稳定性不好。为了改善无人机的飞行稳定性,基于微型惯性姿态调节,陀螺和其他敏感元件来提出一种新的飞行方法,用于信息获取无人驾驶飞行器(UAV)的态度数据。基于Micro AHRS读数的传感器数据采取误差补偿和滤波,通过使用高精度传感器陀螺,欧拉角法计算姿态角度的偏转校正和控制来计算姿态角度,以及收集的原始数据通过卡尔曼滤波处理加速度和磁力仪,多传感器信息融合方法用于UAV Micro惯性姿态调整。根据更新的信息融合参数输出,采用卡尔曼方程更新,获得无人驾驶飞行器的飞行稳定性控制。仿真结果表明,控制方法在无人机的飞行姿态调整方面具有良好的稳定性,可以实现无人机的准确姿态定位,提高飞行姿态定位控制的准确性和可靠性。

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