基于自适应传感器融合和螺旋桨推力方程的无人机数字控制系统

Tanmay Chakraborty, Akash Kumar
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引用次数: 1

摘要

人工控制无人机是一项艰巨的任务,涉及到无人机的高度、位置、速度等众多控制参数。这项工作揭示了一种新的控制体系结构,利用GSM网络,利用DTMF信号、螺旋桨推力方程和传感器融合与传感器读取补偿技术,更容易和更广泛地控制无人机。我们将低成本的加速度计和陀螺仪传感器与气压计传感器融合在一起,使用自适应卡尔曼滤波从传感器读数计算无人机的垂直速度和高度。整个系统集成在所提出的飞行控制器体系结构中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Sensor Fusion and Propeller Thrust Equation Based Digital Control System for UAV
Manually controlling an UAV can be a tough task with so many control parameters involved like altitude of the UAV, position of the UAV, velocity of the UAV. This work sheds light on a novel control architecture for easier and broader range control of an UAV using the GSM network with help of DTMF signals, Propeller Thrust equation, and Sensor Fusion with sensor reading compensation technique. We have fused a low cost accelerometer and gyroscope sensor with barometer sensor for calculating vertical velocity and altitude of the UAV from the sensor readings using an adaptive Kalman Filter. The whole system is integrated in the proposed flight controller architecture.
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