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Data-based modelling and proportional integral plus (PIP) control of nitrate in an activated sludge benchmark

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Data-based modelling and proportional integral plus (PIP) control of nitrate in an activated sludge benchmark. / Ghavipanjeh, F.; Taylor, C. James; Young, Peter C. et al.
In: Water Science and Technology, Vol. 44, No. 1, 01.2001, p. 87-94.

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@article{c73d9ad240e5479c904d42c8debfd140,
title = "Data-based modelling and proportional integral plus (PIP) control of nitrate in an activated sludge benchmark",
abstract = "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.",
keywords = "Activated sludge plant, data-based modelling, nitrogen removal, Proportional Integral Plus control",
author = "F. Ghavipanjeh and Taylor, {C. James} and Young, {Peter C.} and Arun Chotai",
year = "2001",
month = jan,
language = "English",
volume = "44",
pages = "87--94",
journal = "Water Science and Technology",
issn = "0273-1223",
publisher = "IWA Publishing",
number = "1",

}

RIS

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 -