Research On The Aircraft Attitude Control

The precise control of aircraft attitude has always been a bottleneck of aircraft's development. A study of aircraft attitude control is of great significance.In the aspect of algorithm research and application of aircraft, traditional PID has simple structure, strong adaptability and a wide range of application . Neural network PID control combines PID control and neural network technology into integration. It not only has the characteristics of PID controller, but also has the neural network's features of self-learning and adaptation. Neural network PID controller gives a reasonable calculation and optimization to the traditional parameters and achieves a good control effect.This paper dememstrates the aircraft flying conversion methods in the environment of the different reference coordinate system and the different reference coordinate system, gives the dynamic model of aircraft and the research on aircraft attitude control principles and algorithms, software and hardware design and implementation, control strategy with steering engine as the executing agency and aircraft flight test , uses GPS / GPRS technology aircraft to return the real-time attitude data to control center and analysises the data.The aircraft has been tested in a military basement and shows that the controller hardware and algorithms have feasibility and reliability. This is an attempt to combine the neural network and the PID control algorithms and apply the principles to the aircraft attitude control, the summarization of this thesis and the view on future research are proposed.