Attitude Control of Model Helicopter using PID Neural Natworks Controller

PID 신경망 제어기를 이용한 모형 헬리콥터의 자세 제어

The helicopter system is non-linear and complex. Futhermore, because of absence of accurate mathematical model, it is difficult accurately to control its attitude. therefore, we propose a PID Neural Networks control technique to control efficiently its elevation angle and azimuth one. The coefficients of PID controller are automatically adjusted by the back-propagation algorithm of a neural network. The simulation results using MATLAB are introduced.