Evaporator outlet water temperature control of maglev frequency-conversion centrifugal chiller based on fuzzy neural network PID algorithm
When the traditional PID algorithm is used to control the evaporator outlet water temperature of maglev frequency-conversion centrifugal chiller,it is prone to occur excessive overshoots,long time-lag and other drawbacks.In order to resolve these prob-lems,a fuzzy neural network PID algorithm is proposed to adjust the evaporator outlet water temperature on the basis of the traditional PID algorithm.The test results show that the fuzzy neural network PID algorithm has better control effect on the evaporator outlet water temperature.It can not only decrease the overshoot,but also make the evaporator outlet water temperature reach the setting temperature in a shorter time,so as to keep the operation of frequency-conversion centrifugal chiller more steady and energy-saving.
maglev frequency-conversion centrifugal chillerevaporator outlet tempera-turecoeffcient of performanceneural networkcontrol
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维普
