Fermentation process is characterized by high non-linearity

time-delay and uncertainty

which directly influence the control performance of the fermentation system.In this paper

a fed-batch fermentation process predictive control method based on non-linear quadratic Gaussian(NLQG)was proposed.The method was composed of an extended Kalman filter(EKF)and non-linear quadratic regulator(NLQR)connected in series.In order to realize the dynamic predictive control of fed-batch fermentation process

the optimal state estimation and the real-time state feedback of the controlled variable were realized by EKF and NLQR respectively.The NLQG controller was designed in the LabVIEW by the strategy using ActiveX to invoke the COM components which were compiled and generated in MATLAB.The controller was applied to the predictive control of the dissolved oxygen concentration in penicillin fed-batch fermentation process.The experiments showed that the proposed fed-batch fermentation process predictive control method had good tracking for the change of set value

high control accuracy and good robustness in different noisy environments.