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2015
Journal Article
Titel
A control simulation tool for online demand calibration
Abstract
Developing fast calibration algorithms is an important step towards the online simulation of hydraulic water networks. The objective of this paper is to report a new demand calibration approach by using algorithms from control theory. We propose a multivariable PID control where the control parameters are identified by a system identification approach and the system matrix is decoupled. In this control approach the measured flow variables are regarded as dynamic set-points. The controllers use the demand values as manipulated variables in order to control the flow variables to the measured flow. The concept was applied successfully using a small test-network.