Design balance autonomous quadcopter for aerial photography with kalman

Abstract

The purpose of this research is to develop a cheap, accurate and autonomous quadcopter. This quadcopter contains microcontroller, gyroscope, accelerometer, barometer, electronic governor and brushless motor. At present, the noise removal filter of the quadcopter sold on the market is a complementary filter, and its disadvantage is that it will produce distortion when the attitude changes at a large angle. Therefore, in order to improve the shortcomings of the complementary filter in the quadcopter, we use the Kalman filter to replace complementary filters to achieve goal. At the same time, through the bluetooth remote connection, the flight situation can be immediately known, and the remote unmanned and stable flight of the quadcopter aerial camera can be achieved, so that the disaster areas or places that are difficult for exploration personnel to quickly obtain stable and clear images for convenient arrangement of rescue operations.