In the last decades, the development of fermentation industry increased rapidly more and more. Fermentation process is a very complicated process, which needs different environment parameters and has seriously nonlinear and instability. For the need of market the volume of reactor range from several cubic meters to thousands, if the error operation occurs the economic losses could be huge. So the accurate fermentation simulation system is needed for the research.The efficiency model which could accurately describe the process of fermentation is the basic and precondition of the simulation system. By the thorough understanding to the producing process of the monosodium glutamate and the fermentation process of the glutamic acid, based on a great deal of field recording data in monosodium glutamate process. The unstructed kinetics model of glutamic acid fermentation was improved in this paper. The model was considered the interactional affection of different variables and the affection of physical factors to the process of fermentation.A hybrid simulated annealing genetic algorithm is proposed after established the developed model, the hybrid algorithm avoids the disadvantages of the general algorithms and it is used in multi-parameters estimation. The result of simulation proved that the improved model exactly reflects the fermentation process and the hybrid algorithm is efficient.With the study of modeling and parameters estimation of glutamic fermentation process, a set of software for modeling of the fermentation process has been designed by utilizing the strong computational capabilities of Matlab and the interface design of Visual Basic. The development of the software is not only helpful to study the mechanism of the process but also helpful to realize the simulation and optimal control of the process.
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