02244nam a2200265 a 4500 vtls000045089 KUKTEM 20251114204422.0 100205t2009 my a f m 000 0 eng d THE0002154(Local) 201905131702 yusri 201108030929 Fida 201107132306 VLOAD 201002081450 kam 201002051025 kam UMP QD377.P4 C44 2009 rs Bc. Chew, Li Mei Model predictive control on fed-batch penicillin fermentation process / Chew Li Mei Model predictive control on fed-batch penicillin fermentation process [computer file] Kuantan : UMP, 2009 85 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang - 2009 In this research study the development of optimization strategies for a fed-batch penicillin fermentation process using model predictive controller was simulated using MATLAB 7.1 software. To facilitate the study, model predictive control (MPC) based on unstructured model for penicillin production in a fed-batch fermentor has been developed. A mathematical model of the system is derived based on published materials, the data is generated using PENSIM, dynamic response is analyzed, transfer function is developed and finally the MPC is implemented into the fermentation process. MPC offers an adaptive and optimizing control strategy which deals with multiple goals and constraints. The results of a study of the applicability of Model Predictive Control (MPC) in the process were obtainable. In order to obtain best optimization result for the fed-batch penicillin fermentation process, two optimization algorithms were selected. First, dynamic optimization using direct shooting method and second is implementation single step ahead Dynamic Matrix Control (DMC). Comparison of these two different approaches shows that DMC algorithm showed the best result with an optimization procedure. Fermentation Predictive control Penicillin 0 0 0 1 10000 10000 2019-09-04 0 QD377.P4 C44 2009 rs Bc. 0000042973 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 4018 | QD377.P4 C44 2009 rs Bc. 0000042974 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1692 1698 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*6502*9992