Comparison of Two Nonlinear Predictive Control Algorithms for Dissolved Oxygen Tracking Problem at WWTP - Publikacja - MOST Wiedzy

Wyszukiwarka

Comparison of Two Nonlinear Predictive Control Algorithms for Dissolved Oxygen Tracking Problem at WWTP

Abstrakt

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.

Cytowania

  • 2

    CrossRef

  • 0

    Web of Science

  • 6

    Scopus

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Opublikowano w:
Journal of Automation, Mobile Robotics and Intelligent Systems - JAMRIS nr 10, strony 8 - 16,
ISSN: 1897-8649
Język:
angielski
Rok wydania:
2016
Opis bibliograficzny:
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:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.14313/jamris_1-2016/2
Weryfikacja:
Politechnika Gdańska

wyświetlono 97 razy

Publikacje, które mogą cię zainteresować

Meta Tagi