Predicting the motion of quadrotor using neural network

Accurate control of quadrotors movement is a challenging task. One must have a reliable controller that will manipulate the speed of each motors. It is also important to study the effect of voltage to the motor speed. This paper will use neural network to predict the rolling and pitching motion of the quadrotor based on the voltage inputs of each motor. It will also determine the net force along z-axis acting at the center of mass of the quadrotor. The neural network is a computer algorithm that mimics the biological structure of neurons (nerve cell) and a powerful tool commonly used in fitting a function, pattern recognition, face recognition, clustering and optimization.