Control of the Rotor Nacelle System Based on Genetic Algorithm

The rotor nacelle is a crucial component of a tilt-rotor UAV, and control stability during its tilting process directly impacts the UAV’s flight quality. Traditional PID controller design often relies on manual parameter adjustment based on human experience, which is time-consuming and lacks precision. This study focuses on the rotor nacelle system of the T500 tilt-rotor UAV and establishes a two-inertia dynamics model based on its structural composition. To address the cumbersome PID parameter adjustment, this paper proposes an autotuning method using a genetic algorithm, incorporating comprehensive dynamic performance indexes, and introducing a target optimization fitness function. Simulation results demonstrate that the genetic algorithm can quickly and effectively adjust the PID controller parameters, achieving the desired control effect and providing robust technical support for the safe and stable flight of the tilt-rotor UAV.