基于RBF网络的PID控制在温度控制系统中的应用

Application of PID Control Based on RBF Network in Temperature Control System

某涡扇发动机主燃油泵调节器的燃油调节具有随发动机进口总温变化而不断修正的特性,在实验室采用常规PID控制方式不能满足发动机进口总温大范围变化时的控制要求,为此,兼顾神经网络的自适应性,提出了一种基于RBF网络的参数自整定PID控制器。将其应用于发动机进口总温控制系统中,实验结果表明,它具有强的自适应能力和鲁棒性,控制品质优于常规PID控制器。

The fuel adjustment of some turbofan engines＇ fuel-pump adjustor is continuous change following the engine＇s inlet temperature.And the traditional PID method can＇t meet the control demand that the change of the engine＇s inlet temperature is large.So a PID controller based on RBF network is put forward after considering the neural network adaptability.It is applied to the engine＇s inlet temperature control system,the result shows that the PID controller has better self-adaptability, better robust capability and better control quality than the traditional PID control.