Description

Optimal operation and control of batch and semi-batch processes has an increasing importance in the chemical process industry. However, the solution of dynamic uncertainties in the process model might lead to a high risk of constraint violations. In order to solve the dynamic optimization problem under parametric uncertainty, four different approaches are investigated in this work. Thereafter, two of them are used in a multi-scenario eNMPC in order to robustly control batch processes under parametric uncertainties.

Robust Dynamic Optimization and Control of SemiBatch Processes under Parametric Uncertainties

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Paperback by Ph.D. Puschke Dr Jennifer

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Optimal operation and control of batch and semi-batch processes has an increasing importance in the chemical process industry. However, the... Read more

    Publisher: Verlag G. Mainz
    Publication Date: 1/18/2019
    ISBN13: 9783958862722, 978-3958862722
    ISBN10: 3958862721

    Non Fiction , Mathematics & Science , Education

    Description

    Optimal operation and control of batch and semi-batch processes has an increasing importance in the chemical process industry. However, the solution of dynamic uncertainties in the process model might lead to a high risk of constraint violations. In order to solve the dynamic optimization problem under parametric uncertainty, four different approaches are investigated in this work. Thereafter, two of them are used in a multi-scenario eNMPC in order to robustly control batch processes under parametric uncertainties.

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