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

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.