Dissolved oxygen control strategy comparison for an activated sludge process
Dissolved oxygen control strategy comparison for an activated sludge process
- Author(s): V.J. Turmel ; D. Williams ; K.O. Jones
- DOI: 10.1049/cp:19980383
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
UKACC International Conference on Control (CONTROL '98) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): V.J. Turmel ; D. Williams ; K.O. Jones Source: UKACC International Conference on Control (CONTROL '98), 1998 p. 1102 – 1105
- Conference: UKACC International Conference on Control (CONTROL '98)
- DOI: 10.1049/cp:19980383
- ISBN: 0 85296 708 X
- Location: Swansea, UK
- Conference date: 1-4 Sept. 1998
- Format: PDF
There are increasingly important financial incentives and environmental considerations for improving the treatment of wastewater from domestic and industrial users before being released into the environment. Insufficient levels of dissolved oxygen prevent the successful degradation of organic matter present, whereas too high a level causes settling problems, in addition to the waste of energy and hence cost efficiency. Therefore, the need for controlling dissolved oxygen is of great importance. The paper presents simulation results providing comparison of controller performances for three control methods (PID, fuzzy logic and self-tuning control) for a wastewater process with typical influent flow pattern. The set-point to the sludge flow control system is optimised using an objective function including released water quality and financial running cost.
Inspec keywords: flow control; water treatment; biotechnology; three-term control; self-adjusting systems; chemical variables control; fuzzy control; digital simulation
Subjects: Environmental issues; Self-adjusting control systems; Biotechnology industry; Fuzzy control; Level, flow and volume control; Natural resources and environmental control; Chemical variables control; Control engineering computing
Related content
content/conferences/10.1049/cp_19980383
pub_keyword,iet_inspecKeyword,pub_concept
6
6