Optimized Neural Networks-PID Controller with Wind Rejection Strategy for a Quad-Rotor

In this paper a full approach of modeling and intelligent control four rotor unmanned air vehicle (UAV) known as quad-rotor aircraft is presented. fact, PID on-line optimized Neural Networks Approach (PID-NN) developed to be applied angular trajectories quad-rotor. Whereas, classical controllers are dedicated for the positions, altitude speed control. The goal work concept smart Self-Tuning controller, attitude angles control, based on neural networks able supervise an behavior while tracking desired trajectory. Many challenges could arise if navigating in hostile environments presenting irregular disturbances form wind modeled overall system. has quickly perform tasks ensuring stability accuracy must behave rapidly with regards decision making facing disturbances. This technique o?ers some advantages over conventional methods such controller. Simulation results founded comparative study between PID-NN These later several degrees strength test stability. simulation satisfactory have demonstrated effectiveness proposed PD-NN approach. controller relatively smaller errors than PD better capability reject addition, it proven highly robust efficient face turbulences