Research on Hybrid Adaptive Fuzzy Control for the Fermentation Process

A multi-variable dynamic model of the glutamic acid fermentation process based on neural network is established. Combining the off-line Optimal control method and the on-line adaptive fuzzy neural network control method, the hybrid fuzzy adaptive fermentation process control model is designed. The off-line optimization track is the main control model, while the adaptive fuzzy neural network based on the genetic algorithm as the assist-control model to modify its output on-line. The simulation results show that application of hybrid fuzzy adaptive controller can effectively overcome all sorts of interference in the fermentation process to ensure a higher rate of acid production.