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Utilization of neural network and the discrepancy between it and modeling in quadcopter attitude

机译:四轴飞行器姿态中神经网络的利用及其与建模的差异

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Multi-copter or Multi-rotor is a new field and most of the modeling and control research points are interested to improve the performance of the multi-rotors to do its work with no effort and in best way. Here Quadcopter system was proposed due its wide usage. Quadcopters as it is known as quadrotor has been involved in many applications due to its facilitations and speed. They have been used in Search and rescue, Building Inspection after Earth Quicks, Precision Agriculture, Remote farming, Mapping of building, Transportation, Motivation and mine detection. Modeling of the Quadcopter is the most important part of designing as it is describing all the characteristics of the system and depend on this observations the controller which sustain all the requirements was determined. Here it was proposed the investigation between two different methods for modeling first one is modeling which depend on the system of equations describing the system motion and performance, the second method using the neural network using NARX model proposed here[5]. The results will show the difference between those two methods.
机译:多旋翼或多旋翼是一个新兴领域,大多数建模和控制研究点都希望提高多旋翼的性能,以不费吹灰之力地以最佳方式完成其工作。由于其广泛的用途,在这里提出了Quadcopter系统。四旋翼飞行器因其便利性和速度而被称为四旋翼飞行器。它们已用于搜索和救援,大地之灾后的建筑物检查,精密农业,偏远农业,建筑物地图,运输,动力和探雷。 Quadcopter的建模是设计中最重要的部分,因为它描述了系统的所有特征,并根据此观察结果确定了满足所有要求的控制器。这里提出了两种不同的建模方法之间的研究,第一种方法是建模,该建模依赖于描述系统运动和性能的方程组,第二种方法是使用本文提出的使用NARX模型的神经网络[5]。结果将显示这两种方法之间的差异。

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