Dynamic optimization of a plate reactor start-up supported by Modelica-based code generation software
(2007) 8th International Symposium on Dynamics and Control of Process Systems- Abstract
- In this paper, start-up of a plate reactor is considered. Dynamic
optimization is used to obtain start-up trajectories, and a feedback
control structure for on-line control. The problem is challenging,
since the process model is large and highly non-linear. In
addition, the plant is subject to uncertainty. Special attention is
given to the problem of formulating an optimal control problem based
on physical insight. The robustness properties of the optimal solution
are explored in simulation, by introducing parameter perturbations into
the model. Automatic computer tools which greatly simplifies the task
of formulating complex dynamic optimization problems are... (More) - In this paper, start-up of a plate reactor is considered. Dynamic
optimization is used to obtain start-up trajectories, and a feedback
control structure for on-line control. The problem is challenging,
since the process model is large and highly non-linear. In
addition, the plant is subject to uncertainty. Special attention is
given to the problem of formulating an optimal control problem based
on physical insight. The robustness properties of the optimal solution
are explored in simulation, by introducing parameter perturbations into
the model. Automatic computer tools which greatly simplifies the task
of formulating complex dynamic optimization problems are briefly
discussed. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/961566
- author
- Haugwitz, Staffan LU ; Åkesson, Johan LU and Hagander, Per LU
- organization
- publishing date
- 2007
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- mid-ranging control, start-up, plate reactor, dynamic optimization, process control, uncertainty, Modelica
- conference name
- 8th International Symposium on Dynamics and Control of Process Systems
- conference location
- Cancun, Mexico
- conference dates
- 0001-01-02
- external identifiers
-
- scopus:85014302737
- language
- English
- LU publication?
- yes
- id
- f9cda0d0-0864-4091-b16a-ee44aeb0bdc3 (old id 961566)
- date added to LUP
- 2016-04-04 14:19:11
- date last changed
- 2022-01-30 01:50:15
@misc{f9cda0d0-0864-4091-b16a-ee44aeb0bdc3,
abstract = {{In this paper, start-up of a plate reactor is considered. Dynamic<br/><br>
optimization is used to obtain start-up trajectories, and a feedback<br/><br>
control structure for on-line control. The problem is challenging,<br/><br>
since the process model is large and highly non-linear. In<br/><br>
addition, the plant is subject to uncertainty. Special attention is<br/><br>
given to the problem of formulating an optimal control problem based<br/><br>
on physical insight. The robustness properties of the optimal solution<br/><br>
are explored in simulation, by introducing parameter perturbations into<br/><br>
the model. Automatic computer tools which greatly simplifies the task<br/><br>
of formulating complex dynamic optimization problems are briefly<br/><br>
discussed.}},
author = {{Haugwitz, Staffan and Åkesson, Johan and Hagander, Per}},
keywords = {{mid-ranging control; start-up; plate reactor; dynamic optimization; process control; uncertainty; Modelica}},
language = {{eng}},
title = {{Dynamic optimization of a plate reactor start-up supported by Modelica-based code generation software}},
url = {{https://lup.lub.lu.se/search/files/6332829/8863030.pdf}},
year = {{2007}},
}