Simulation-Based Modeling and PID control optimization for quadcopter UAV using genetic algorithm
An efficient simulation-based control framework was developed, in which a nonlinear model was derived using the Newton–Euler method and subsequently linearized via feedback linearization, thereby enhancing the quadcopter stability and trajectory tracking and contributing to more reliable real-world flight performance.