| This thesis focused on the pressure control problem of Apron-Hydrant-System in modern airport. Implied with expert theory, intelligent PID was used to solve pressure control problem, and statistics method was innovatively used in parameter optimizing process. With the practice in realization, the expert PID control policy and parameter optimizing method introduced in this thesis turned out successful.At the beginning of this thesis, system structure of airport Apron-Hydrant-Sys. and its constant pressure request was introduced. For the uncertain model of system object and the request of high robusticity, PID control method was confirmed as the first selection at the very beginning. In the following practicing, self-adaptive PID control policy implied with expert theory was established to adapt changing conditions.In the implementation process, expert knowledge that easy to imply was concluded based on system distinguishing and maintainer's experience. In ,the following practice in realization, we put forward parameter optimizing method using statistics theory to optimizing PID parameters, and have comparisons visually on different control policies and parameters. |