High-Fidelity Dataset for the F-16 Fighter Flight Control System Based on Fully Actuated System Theory

This dataset contains time-series data of 12 state variables (Earth-fixed position and velocity, flight path angle, flight path azimuth angle, angle of attack, sideslip angle, flight path roll angle, and three-axis angular rates) and corresponding control variables (control surface deflections and thrust) of a high-fidelity F-16 fighter jet during the control process. It systematically records the real-time dynamic response data of the aircraft operating under a control law designed based on Fully Actuated System (FAS) control theory.This dataset can be utilized for research in data-driven and intelligent control. It provides training and testing samples for constructing control strategies based on large models, deep neural networks (DNNs), and reinforcement learning (RL), as well as for system identification, thereby supporting the design and verification of intelligent control laws in complex flight scenarios. Furthermore, based on the mapping relationship between the flight states and control variables within the dataset, a precise dynamic model of the F-16 fighter can be established. This can be applied to fields such as flight control system fault diagnosis and virtual flight simulation.