Design of Flight Control System Based on Data Drive

UAVs not only have the advantages of taking off and landing at any time and flying at low speeds, but they are not subject to the normal restrictions of the driver during design. They can fly over the horizon with high intensity and perform high-risk missions. Therefore, they have a wide range of military and civilian applications. However, the UAV is a control object with complex and nonlinear mechanical structure. It is difficult to create an accurate mathematical model for this, and there is a strong connection between the various UAV channels, which has given birth to many modern control theories. These methods are difficult to apply to the UAV flight control system. The flight environment such as temperature and temperature is very sensitive, and it is easy to cause safety problems during the flight test. Therefore, it is very important to design an ideal flight control system. This paper studies the flight control system based on data drive, optimizes the flight control system based on data drive for the above problems, proposes an off-line tuning algorithm for data-driven fractional controller parameters, and performs simulation experiments on the return system. The experimental results are, the controller optimized by data-driven has better learning ability. Compared with the traditional controller, the maximum parameter is 0.2 times of them.