TY - GEN
T1 - Prototype Aeration System for Dissolved Oxygen Control Using a Paddle Wheel Mechanism
AU - Cahua, Diego
AU - Antezana, Freddy
AU - Palomino, Styven
AU - Alegria, Elvis J.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Control methods of dissolved oxygen (DO) in water may involve nonlinearities, non-Gaussian noise, external disturbances, and unknown dead times, which makes its study particularly compelling. Nevertheless, requirements such as extensive infrastructure and expensive instrumentation represent significant limitations for experimentation within a typical control laboratory. Therefore, this paper presents an easy-toreplicate aeration process for DO control experimentation. The proposed approach employs a cascade strategy that combines Fuzzy Logic Control and Sliding Mode Control to regulate DO levels and paddle wheel speed, respectively. The system features a reconfigurable paddle wheel aerator engineered for experimental evaluation. Moreover, the setup incorporates a DC motor with an encoder, a DO sensor, and a standard computer. For validation purposes, a small water tray was used, in which sodium sulfite was added to reduce the DO level, followed by activation of the paddle wheel to increase it. Finally, simulated and experimental results are presented to validate the proposed system.
AB - Control methods of dissolved oxygen (DO) in water may involve nonlinearities, non-Gaussian noise, external disturbances, and unknown dead times, which makes its study particularly compelling. Nevertheless, requirements such as extensive infrastructure and expensive instrumentation represent significant limitations for experimentation within a typical control laboratory. Therefore, this paper presents an easy-toreplicate aeration process for DO control experimentation. The proposed approach employs a cascade strategy that combines Fuzzy Logic Control and Sliding Mode Control to regulate DO levels and paddle wheel speed, respectively. The system features a reconfigurable paddle wheel aerator engineered for experimental evaluation. Moreover, the setup incorporates a DC motor with an encoder, a DO sensor, and a standard computer. For validation purposes, a small water tray was used, in which sodium sulfite was added to reduce the DO level, followed by activation of the paddle wheel to increase it. Finally, simulated and experimental results are presented to validate the proposed system.
KW - Dissolved oxygen
KW - fuzzy control
KW - paddle wheel aerator
KW - sliding mode control
UR - https://www.scopus.com/pages/publications/105029907515
U2 - 10.1109/INDUSCON66435.2025.11241883
DO - 10.1109/INDUSCON66435.2025.11241883
M3 - Conference contribution
AN - SCOPUS:105029907515
T3 - 2025 16th IEEE International Conference on Industry Applications, INDUSCON 2025 - Proceedings
SP - 16
EP - 21
BT - 2025 16th IEEE International Conference on Industry Applications, INDUSCON 2025 - Proceedings
A2 - Muniz, Jorge
A2 - Botura, Galdenoro
A2 - Leite, Jonatas Boas
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Industry Applications, INDUSCON 2025
Y2 - 14 October 2025 through 17 October 2025
ER -