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Comparison of Two Nonlinear Predictive Control Algorithms for Dissolved Oxygen Tracking Problem at WWTP
Abstract
The wastewater treatment plant is classified as a complex system, due to its nonlinear dynamics, large uncertainty of disturbance inputs, multiple time scales in the internal process dynamics, and multivariable structure. The aeration process, in turn, is an important and expensive part of wastewater treatment plant operation. All operating parameters of the aeration in biological processes are to be precisely controlled to provide adequate biological conditions for microorganisms. Therefore the most important issue of the biological process is to operate it in such a way that a minimal energy is consumed and minimal DO concentration demand is applied. The paper proposes two advanced control systems to track the dissolved oxygen reference trajectory. The decentralized algorithm and the multivariable nonlinear predictive control algorithm are designed and compared. Simulation tests for the wastewater treatment plant case study are presented.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.14313/jamris_1-2016/2
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
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Journal of Automation, Mobile Robotics and Intelligent Systems - JAMRIS
no. 10,
pages 8 - 16,
ISSN: 1897-8649 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Piotrowski R.: Comparison of Two Nonlinear Predictive Control Algorithms for Dissolved Oxygen Tracking Problem at WWTP// Journal of Automation, Mobile Robotics & Intelligent Systems - JAMRIS. -Vol. 10., nr. 1 (2016), s.8-16
- DOI:
- Digital Object Identifier (open in new tab) 10.14313/jamris_1-2016/2
- Verified by:
- Gdańsk University of Technology
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