基于智能控制算法的试验台入口油温控制  

The Control of the Fuel Temperature at the Inlet of the Test Stand Based on Intelligent Control Algorithm

作　　者：石宏[1] 黄笑飞[1] 刘明明[1] 李昂[1] 

机构地区：[1]沈阳航空航天大学动力与能源工程学院,辽宁沈阳110136

出　　处：《机床与液压》2012年第15期56-59,共4页Machine Tool & Hydraulics

摘　　要：根据航空发动机燃油泵试验台入口油温控制系统非线性、时滞、时变等特点,将神经网络控制、模糊控制与PID控制算法相结合,设计智能控制算法,实现对PID参数的自适应调整。仿真结果表明,智能控制算法的控制效果明显优于常规PID控制算法。其中,模糊自适应PID控制算法更适用于航空发动机燃油泵试验台入口油温控制。The control system of the fuel temperature at the inlet of the aero-engine fuel pump test stand is a nonlinear, time-var- ying and time-delay system. Combining the fuzzy control and neural network control with PID control, intelligent PID control algo- rithms were designed to realize online self-adaptive adjustment of the three PID parameters. Simulation results show that intelligent PID control algorithms have better performances than the conventional PID control algorithms. And the fuzzy self-tuning PID control algorithm is relatively feasible for the control of the fuel temperature at the inlet of the aero-engine fuel pump test stand.

关 键 词：航空发动机 燃油泵试验台 PID控制 模糊控制 神经网络控制 

分 类 号：V233.22[航空宇航科学与技术—航空宇航推进理论与工程] TP273[自动化与计算机技术—检测技术与自动化装置]