Optimizing Control Methods of Airport Pipeline Refueling Process

摘要

Due to the non-linearity and long delay of airport pipe line refueling system, it is difficult for classical control methods to ensure stable pumping pressure and refueling flow. To improve the stability of the refueling process, the paper introduces human-simulated intelligent control(HSIC) method to the recognization of refueling status, online self-adjusting and control of refueling parameters. Simulation shows that the stability and accuracy of HSIC control methods were better than that of classical PID and fuzzy PID control. The airport pipeline refueling system is a complex control object with nonlinear feature, variable parameters and uncertainty. the PID (proportional, integral, differential) controller can lead to serious integral saturation, system oscillations for this sort of system, so it is difficult to obtain good control quality. Human-simulated intelligent control(HSIC) is an algorithm based on research in human way of controlling behavior and characteristics. With its features of strong adaptability, on-line Parameter identification and parameter self-tuning, HSIC has better performance in computing time, stability, adjust time, and the steady-state error compared with a PID algorithm. with the exception of the static gain coefficient of the controlled object, it is does not need for HSIC to know the precise mathematical model and other parameters of controlled object. For a process control system, a set of control parameters can be set in advance, HSIC control algorithm can automatically tuning these parameters to their better value to get good control effect after a period of time. In this paper, a HSIC algorithm of airport pipeline refueling control system is design in order to improve the control quality of the system.