Evolutionary Algorithms For Optimal Control of PPT Polymerization Reactor
| Authors: | Mitra Kishalay, Tata Consultancy Services, India
Majumdar Saptarshi, Tata Research Development & Design Centre, India
Gopinath Ravi, Tata Consultancy Services, India |
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| Topic: | 2.4 Optimal Control |
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| Session: | Evolutionary Computation in Control Systems Engineering |
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| Keywords: | Polymerization, model validation, poly (propylene terepthalate), multiobjective optimization, optimal control, analysis |
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Abstract
Synthesis of Poly(propylene terepthalate) (PPT) is normally carried out (in batch as well as semi-batch mode) in a combined mixture of TPA (terephthalic acid) and PG (1,3-propanediol) with a suitable catalyst in two steps: esterification and polycondensation. Functional group modeling technique is used here to analyse the semibatch PPT formation system. Objectives of multiobjective optimization are to maximize productivity and the proportionality among desired functional groups at minimum possible processing time. But these conflicting objectives lead to an undesired population of other undesired functional groups. Several constraints are incorporated into the system to tackle this situation. Real-coded NSGA-II (Non-dominated Sorting Genetic Algorithm) has been utilized as an evolutionary optimization technique to solve the problem.
