Decoupling Control of Penicillin Fermentation Processes Based on MLS-SVM Inversion

Specific to typical multi-variable, strong-coupling and nonlinear penicillin fermentation process, by combination of an inverse system method and a support vector machine theory, a nonlinear robust decoupling control method based on MLS-SVM inversion is proposed. Firstly, a dynamic system model is developed based on material balance relation of fed-batch fermentation process, and existence of inverse system is analyzed. Secondly, an inverse model has been developed offline by use of fitting capacity of MLS-SVM; online correction was made by use of differential evolution (DE) algorithm on the basis of deviation information. Finally, to connect the inverse model and original system in serial into a compound pseudo-linear system, and based on characteristics of pseudo-linear system, introduce internal model controller for closed-loop control of the system. Simulation result shows that such control method can realize dynamic decoupling control of penicillin fermentation process; the system boasts very strong parameter robustness and good resistance against interference