Author(s)

Chu Letian, Zhao Siyu

Corresponding Author

Chu Letian

ABSTRACT

UAV flight control is a hot and difficult point in today's world. Although the development of quadrotor UAVs has nearl-y ten years of development, its dynamics modeling and mechanical design have become mature, but there are still many problems to be solved in the design of machine control and its optimization algorithm. For example, the optimization of adaptive control and balance control of UAV in different environments is still a problem that many research institutes and commercial companies focus on. Under different environmental conditions, how to reasonably maintain the stability of the UAV's own balance under the circumstances of heavy wind or rain, and the same balance corresponding time and corresponding state under the loads of different weights and shapes of UAV loads. The project attempts to introduce PID control algorithm to solve this problem, with the use of matlab simulation test, compared with the existing commercial UAV.The project team mathematically modeled the quadrotor UAV to get the aerodynamic model of the quadrotor UAV, PID controller building, simulink simulation model of the construction, and the function of the Particle Swarm Optimization algorithm optimization parameters.The main purpose of the project is to explore the unmanned aircraft flight control adaptability to different environments. It is difficult to achieve a unified problem and try to solve this problem. The development of today's drones and the further integration of control and mechanics by our mechanical major have far-reaching implications. At the same time, it also provides a new perspective and thinking direction for the combination of current control theory and computer science.

KEYWORDS

Uav, Pid Control, Particle Swarm Optimization