Attitude Stability of tilt-rotor UAV during Obstacle Avoidance and Transition mode

This paper presents a comprehensive study focused on the optimization and enhancement of the control system for tilt-rotor Unmanned Aerial Vehicles (UAVs) during the critical transition phase. We have developed a two-dimensional system dynamics model of the tilt-rotor UAV and utilized Simulink simulations to analyze and refine the control strategies. Specifically, we have implemented Proportional-Integral-Derivative (PID) controllers to stabilize the UAV, while employing Genetic Algorithm (GA) techniques to optimize the trajectory of the UAV.