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  4. Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach
 
research article

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Aydin, Erdal
•
Bonvin, Dominique  
•
Sundmacher, Kai
2017
Computers and Chemical Engineering

This work considers the numerical optimization of constrained batch and semi-batch processes, for which direct as well as indirect methods exist. Direct methods are often the methods of choice, but they exhibit certain limitations related to the compromise between feasibility and computational burden. Indirect methods, such as Pontryagin’s Minimum Principle (PMP), reformulate the optimization problem. The main solution technique is the shooting method, which however often leads to convergence problems and instabilities caused by the integration of the co-state equations forward in time. This study presents an alternative indirect solution technique. Instead of integrating the states and co-states simultaneously forward in time, the proposed algorithm parameterizes the inputs, and integrates the state equations forward in time and the co-state equations backward in time, thereby leading to a gradient-based optimization approach. Constraints are handled by indirect adjoining to the Hamiltonian function, which allows meeting the active constraints explicitly at every iteration step. The performance of the solution strategy is compared to direct methods through three different case studies. The results show that the proposed PMP-based quasi-Newton strategy is effective in dealing with complicated constraints and is quite competitive computationally.

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Type
research article
DOI
10.1016/j.compchemeng.2017.01.019
Web of Science ID

WOS:000397351000012

Author(s)
Aydin, Erdal
Bonvin, Dominique  
Sundmacher, Kai
Date Issued

2017

Publisher

Elsevier

Published in
Computers and Chemical Engineering
Volume

99

Start page

135

End page

144

Subjects

Constrained dynamic optimization

•

Pontryagin’s Minimum Principle

•

indirect optimization methods

•

quasi-Newton algorithm

•

semi-batch processes

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/131788
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