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Unmanned Powered Paraglider Flight Path Control Based on PID Neutral Network

The unmanned powered paraglider (UPP) is a nonlinear time-varying dynamic system with high coupling degree. In view of how to make the UPP flying along arbitrary predetermined trajectory, the conventional control method is difficult to obtain the control trajectory with a better fitting degree of the presupposition trajectory. To solve this problem, the six degree of freedom (SDOF)dynamic model of the UPP is built and the control characteristics of the UPP is studied. In view of the control characteristics of the UPP, the controller suitable for the UPP is designed and compiled with the PID neural network method (PIDNN), and the simulation system for the flight process is built, which is used to simulate the flight path control. And the results show that the controller realizes the effective flight path control of the UPP.