ALTERNATIVE ROLLOUT OPTIMIZATION TO NONLINEAR MODEL PREDICTIVE CONTROL IN L-LYSINE PRODUCTION FOR CHOLESTEROL REDUCTION
Tatiana S. Ilkova, Mitko M. Petrov
Pages: 165-190
Published: 1 Jan 2011
Views: 84
Abstract: L-lysine is an essential amino acid, which means that it is essential to human health but cannot be manufactured by the body. For this reason, L-lysine must be obtained from food. Amino acids are the building blocks of protein. Lysine is important for proper growth and it plays an essential role in the production of carnitine, a nutrient responsible for converting fatty acids into energy and helping to lower cholesterol. NMPC is developed for guarantee robustness to process disturbances for a fed-batch fermentation process for the L-lysine. The method is carried out with an aim control of disturbance of the optimal control variable (feeding rate). For local optimization of choice optimization hour, an algorithm is applied in order to find an optimal profile of the control variable. For local optimization consider the approximate solution of discrete optimization problems using procedures that are capable of magnifying the effectiveness of any given heuristic algorithm through sequential application a alternative rollout algorithms, which are related to notions of policy iteration. The developed control algorithm ensures maximal L-lysine at the end of the process and guarantees a feedback on disturbance as well as robustness to process disturbances.
Keywords: alternative rollout optimization, cholesterol reduction, control algorithm, l-lysine, nonlinear model predictive control
Cite this article: Tatiana S. Ilkova, Mitko M. Petrov. ALTERNATIVE ROLLOUT OPTIMIZATION TO NONLINEAR MODEL PREDICTIVE CONTROL IN L-LYSINE PRODUCTION FOR CHOLESTEROL REDUCTION. Journal of International Scientific Publications: Materials, Methods & Technologies 5, 165-190 (2011). https://www.scientific-publications.net/en/article/1003330/
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