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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.
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Submitted on : Monday, September 28, 2015 - 10:40:34 AM
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M. Braun, T. Bernard, Olivier Piller, I. Montalvo, J. Deuerlein. A Control Simulation Tool for Online Demand Calibration. Procedia Engineering, Elsevier, 2015, 119, pp.828-833. ⟨10.1016.2015.08.946⟩. ⟨hal-01199439⟩



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