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

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.