Article

Cover

Title

Neural network based control system of 2-axis integrated mems gyroscope of A quadrotor

Authors

A.G. Bulgakow, T.N. Kruglova, D. Sayfeddine

Organization

Platov South-Russian State Polytechnic University (NPI)
Novocherkassk, Russia

Abstract

Paper is oriented toward studying the two axis vibratory microelectromechanical system, built-in on the electrical board controlling a miniature unmanned aerial vehicle. Knowing that noises has the greatest impact on the functionality of the MEMS gyroscope, it is very important, to keep their vibration frequency away from the resonant value of the gyroscope by decreasing the resultant output error of the controller of the gyroscope.

Keywords

gyroscope, microelectromechanical systems (MEMS), quadrotor, neural network controller

For citing this article

Bulgakow A.G., Kruglova T.N., Sayfeddine D. Neural network based control system of 2-axis integrated mems gyroscope of A quadrotor // The Research of the Science City, 2014, no. 3, pp. 31-35.

This Article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).