The neural network control algorithm research of single crystal furnace temperature system

摘要

Straight pull single crystal furnace's temperature control system has problem of the long time lag and nonlinearity, so the precise mathematic mode that is hard to build. Advanced control strategies show strong advantages for resolving these problems. This paper use artificial neural network modeling approach to establish single crystal furnace temperature's neural network control BP structure model, use adaptive method to control the temperature of the single crystal furnace.