We present a framework enabling unmanned aerial vehicles (UAVs) to autonomously land onto a moving target, utilizing real-time positional data of the target obtained from either a motion-capture system or GPS. Our approach uses onboard sensors, including GPS and IMU, to accurately estimate the state of both the UAV and the moving platform. A robust control architecture utilizing PID and linear quadratic regulator (LQR) techniques is implemented to ensure precise tracking of the moving target during the landing process. We validate the effectiveness and reliability of our methodology by conducting simulations. Through the simulation results, we confirm its capability to achieve autonomous landings on moving platforms.