Multi-Objective Optimal Control Study of Fed-Batch Bio-Reactor*. Issue 7 (2016)

• Record Type: Journal Article
• Authors: Patel, Narendra; Padhiyar, Nitin
• Is Part Of: IFAC-PapersOnLine. Volume 49:Issue 7(2016)
• Page Start: 97
• Page End: 102
• Publication Date: 2016
• Subjects: Attainable Region -- Multi-objective Optimization -- mesh sort -- fed-batch reactor -- optimal control; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2016.07.223
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Evolutionary Algorithms have been successfully applied for offline optimal control problems of fed-batch bio-reactors. In such problems, productivity-yield maximization is carried out by optimizing the transient feed recipe. However, this is usually done for a fixed fed-batch time. The optimum batch time can be computed by solving single objective optimal control problems multiple times with different fed-batch times. Since this approach is quite computationally expensive, we in this work formulate a multi-objective optimization (MOO) problem to find the minimum fed-batch time along with maximizing productivity-yield. Such an MOO approach will result in saving significant computational effort. A single parameter based fast mesh sorting with multi objective differential evolution is used in this work for solving MOO problems. We have considered a case study of optimal control of fed-batch reactor for secreted protein production with volume constraint in this work.