Real Time System based on a Neural Network and PID Flight Control
The modern flight control systems are complex since they have a non linear nature. Also, modern aerospace vehicles are expected to have non conventional flight envelopes and, in o rder to operate in uncertain environments, they must guaran tee a high level of robustness and adaptability. A Neural Networks controll e can be used in applications with manned or unmanned aerial v hicles. The paper shows the mathematical model for hexacopter dynam ics and a comparison between two different technique for sta biliz tion and trajectory control: proportional,integral, derivati e controller and real rime system controller based on Neura l Networks. Numerical simulations are performed in order to validate both mathema tical model and control approaches.