TY - GEN
T1 - Fuzzy modeling of activated sludge wastewater treatment processes and predictive control of dissolved oxygen
AU - Yang, Ting
AU - Zhang, Lixian
AU - Chadli, Mohammed
PY - 2013
Y1 - 2013
N2 - In this paper, the problems of fuzzy modeling of activated sludge wastewater treatment processes and predictive control of dissolved oxygen are investigated. A structure identification algorithm is proposed, by which the structure of the fuzzy rules can be constructed according to the Activated Sludge Model No.1 (ASM1). Utilizing the fuzzy c-means cluster algorithm, the required fuzzy space of input variables is derived and the consequent parameters are identified using the method of least squares. Based on the obtained fuzzy model, the control signal is formulated by solving a convex optimization problem such that the dissolved oxygen concentration in an aerobic reactor of the wastewater treatment plant can be maintained at the set-point. Compared with the traditional PID control, the proposed fuzzy modelbased predictive control paradigm achieves satisfactory benefits in terms of both transient and steady performance.
AB - In this paper, the problems of fuzzy modeling of activated sludge wastewater treatment processes and predictive control of dissolved oxygen are investigated. A structure identification algorithm is proposed, by which the structure of the fuzzy rules can be constructed according to the Activated Sludge Model No.1 (ASM1). Utilizing the fuzzy c-means cluster algorithm, the required fuzzy space of input variables is derived and the consequent parameters are identified using the method of least squares. Based on the obtained fuzzy model, the control signal is formulated by solving a convex optimization problem such that the dissolved oxygen concentration in an aerobic reactor of the wastewater treatment plant can be maintained at the set-point. Compared with the traditional PID control, the proposed fuzzy modelbased predictive control paradigm achieves satisfactory benefits in terms of both transient and steady performance.
KW - Wastewater treatment plant
KW - dissolved oxygen
KW - fuzzy modeling
KW - model predictive control
UR - https://www.scopus.com/pages/publications/84881624801
U2 - 10.1109/ISIE.2013.6563751
DO - 10.1109/ISIE.2013.6563751
M3 - 会议稿件
AN - SCOPUS:84881624801
SN - 9781467351942
T3 - IEEE International Symposium on Industrial Electronics
BT - 2013 IEEE International Symposium on Industrial Electronics, ISIE 2013
T2 - 2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013
Y2 - 28 May 2013 through 31 May 2013
ER -