Flight control of an unmanned aircraft by adapti̇ve neuro-fuzzy inference system (ANFIS)

In this study, the stability derivatives of Telemaster unmanned aircraft are found by DATCOM software. Using this data, the mathematical model of the aircraft is created in the MATLAB Simulink environment. According to some predetermined performance constraints, speed, altitude and yaw angle PID controllers are designed. The parameters of ANFIS controllers are determined by trained neural networks with the designed PID controllers. The performances of ANFIS and PID controllers are tested in some scenarios which consists of windy conditions.