The importance of dissolved oxygen concentration controlinaerationtanksofabioreactoratflow-throughwastewater treatment plant (WWTP) can easily be justified by technological requirements as well as simple economics. Firstly, appropriate levels of dissolved oxygen concentration are essential for the vitality of microorganisms that comprise the bioreactor. Secondly, the costs of dissolved oxygen concentration control related to the blower station operation constitute up to 75% of the plantwide electric bill. This paper addresses a problem of Takagi– Sugeno fuzzy model identification of dissolved oxygen dynamics (aeration process) for control design purposes. In the proposed approach the fuzzy partitions and the corresponding fuzzy sets are identified based on the knowledge of the process. Local (regional) model structure is obtained based on a larger wellestablished cognitive model from which a well-defined parameter set follows. Thereafter, a parameter identification is performed. A case study example of a bioreactor at Kartuzy WWTP illustrates the workflow of the proposed identification algorithm.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/mmar.2017.8046975
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2017
