Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Data-based modelling and proportional integral plus (PIP) control of nitrate in an activated sludge benchmark
AU - Ghavipanjeh, F.
AU - Taylor, C. James
AU - Young, Peter C.
AU - Chotai, Arun
PY - 2001/1
Y1 - 2001/1
N2 - This paper presents the result of an investigation into the Proportional Integral Plus (PIP) control of nitrate in the second zone of an activated sludge benchmark. A data-based reduced order model is used as the control model and identified using the Simplified Refined Instrumental Variable (SRIV) identification and estimation algorithm. The PIP control design is based on the Non Minimum State Space (NMSS) form and State Variable Feedback (SVF) methodology. The PIP controller is tested against dynamic load disturbances and compared with the response of a well-tuned PI controller.
AB - This paper presents the result of an investigation into the Proportional Integral Plus (PIP) control of nitrate in the second zone of an activated sludge benchmark. A data-based reduced order model is used as the control model and identified using the Simplified Refined Instrumental Variable (SRIV) identification and estimation algorithm. The PIP control design is based on the Non Minimum State Space (NMSS) form and State Variable Feedback (SVF) methodology. The PIP controller is tested against dynamic load disturbances and compared with the response of a well-tuned PI controller.
KW - Activated sludge plant
KW - data-based modelling
KW - nitrogen removal
KW - Proportional Integral Plus control
M3 - Journal article
VL - 44
SP - 87
EP - 94
JO - Water Science and Technology
JF - Water Science and Technology
SN - 0273-1223
IS - 1
ER -