Research On Image Definition Based On Flight Control System

At present,aerial photography is the most widely used and popular field of quad-rotor UAV.The aerial photography technology is that the quad-rotor UAV carries cameras to achieve low-altitude photography tasks.The main application scenarios of aerial photography are image acquisition,film,television shooting and so on.In the process of aerial photography,there are many factors that affect the quality of aerial images.On the one hand,because the four-axis vehicle is a multi-variable,strong coupling and non-linear system,this paper studies the flight control algorithm of the aircraft,designs the corresponding controller for the aircraft,and proves the effectiveness of the control algorithm through simulation analysis.On the other hand,because the aerial photography system will be affected by the relativity of motion,attitude transformation and atmosphere,resulting in motion blurring of the image,this paper proposes an optimized image restoration algorithm,which effectively suppresses the noise in the image.The research content of the article mainly includes the following aspects:1.Based on the working principle and dynamic characteristics of the quad-rotor UAV,the mathematical model of the quad-rotor UAV is established according to the geographic coordinate system and the body coordinate system.And the mathematical model is simplified reasonably according to the actual flight conditions.2.Based on the mathematical model of quad-rotor UAV,the flight control algorithm of quad-rotor UAV is studied.Firstly,the advantages and disadvantages of traditional PID control algorithm are analyzed,and then the ADRC algorithm is discussed in this paper.Because ADRC algorithm is difficult to tune parameters,this paper combines the theory of fuzzy mathematics with ADRC algorithm to design a Fuzzy-ADRC controller for the quad-rotor UAV,and verifies its effectiveness through simulation experiments.3.Firstly,the degradation model of blurred image is established based on the causes of motion blurred image,and then the method of image quality evaluation is introduced.In this paper,several classical motion blurred image restoration algorithms are analyzed,and an improved Lucy-Richardson(L-R)algorithm is proposed.Finally,the above restoration algorithms are compared and verified by simulation.4.In this chapter,the hardware platform and software program of the quad-rotor UAV with aerial photography function are designed,and relevant experiments are carried out to verify the proposed fuzzy ADRC algorithm and image restoration algorithm.The experimental results show that the Fuzzy-ADRC controller designed for the quad-rotor UAV can effectively reduce the tracking error of the aircraft and meet the stability requirements of the system.Besides,the improved L-R algorithm effectively protects the edge details of the image and improves the clarity of aerial images.