Dynamic Matrix Control of a Quadruple-Tank Process
(1999) 14th IFAC World Congress (1999) In IFAC Proceedings Volumes 32(2). p.6902-6907- Abstract
- A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimizer (DMC-LP) is applied to a nonlinear multivariable laboratory process which consists of four interconnected water tanks. Experimental results show that DMC-LP is a powerful constrained model predictive controller. Based upon simple step response model, it can provide improved control performance and strong robustness. More important, it can handle all kinds of input and output constraints explicitly. Finally, it can reconfigure the control structure based on the different operational requirements. Therefore, it can be applied in most complicated industrial processes.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8516752
- author
- Åström, Karl Johan LU and Dai, Liankui
- organization
- publishing date
- 1999
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IFAC Proceedings Volumes
- series title
- IFAC Proceedings Volumes
- volume
- 32
- issue
- 2
- pages
- 6902 - 6907
- publisher
- IFAC
- conference name
- 14th IFAC World Congress (1999)
- conference location
- Beijing, China
- conference dates
- 1999-07-05 - 1999-07-09
- DOI
- 10.1016/S1474-6670(17)57178-5
- language
- English
- LU publication?
- yes
- id
- d537429d-92f7-46ab-947c-6323ae0f59cf (old id 8516752)
- date added to LUP
- 2016-04-04 13:13:30
- date last changed
- 2018-11-21 21:34:57
@inproceedings{d537429d-92f7-46ab-947c-6323ae0f59cf, abstract = {{A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimizer (DMC-LP) is applied to a nonlinear multivariable laboratory process which consists of four interconnected water tanks. Experimental results show that DMC-LP is a powerful constrained model predictive controller. Based upon simple step response model, it can provide improved control performance and strong robustness. More important, it can handle all kinds of input and output constraints explicitly. Finally, it can reconfigure the control structure based on the different operational requirements. Therefore, it can be applied in most complicated industrial processes.}}, author = {{Åström, Karl Johan and Dai, Liankui}}, booktitle = {{IFAC Proceedings Volumes}}, language = {{eng}}, number = {{2}}, pages = {{6902--6907}}, publisher = {{IFAC}}, series = {{IFAC Proceedings Volumes}}, title = {{Dynamic Matrix Control of a Quadruple-Tank Process}}, url = {{http://dx.doi.org/10.1016/S1474-6670(17)57178-5}}, doi = {{10.1016/S1474-6670(17)57178-5}}, volume = {{32}}, year = {{1999}}, }