PID control of helium pressure in hydrogen liquefaction based on fuzzy neural network
In order to solve the problems such as large overshoot,slow response,long adjust-ment time and non-on-line tuning of control parameters of helium pressure regulation system in hy-drogen liquefaction plant,PID controller based on fuzzy neural network and improved activation function based on hyperbolic tangent function were designed in view of the nonlinear and time-var-ying characteristics of the system.The simulation results show that compared with traditional PID control or fuzzy PID control,the dynamic performance of the system using fuzzy neural network PID control is significantly improved,which makes the helium pressure regulation of the hydrogen liquefaction plant more stable and reliable.
helium pressure regulation systemfuzzy neural networkPID controlpressure control
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