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.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.14313/jamris_1-2016/2
- Category
- Publikacja w czasopiśmie
- Type
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Language
- angielski
- Publication year
- 2016
