Prof.
Fotis Koumboulis
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)Prof.
Nikolaos Kouvakas
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)Prof.
Dimitrios Fragkoulis
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)Prof.
Maria Tzamtzi
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)
Τhe problem of designing chlorine soft sensors, via safe switching observers, for primary water distribution networks (PWDNs) is investigated. The model of a PWDN, describing simultaneously fluid transfer through the pipe network and dispersion/decay of chlorine in the pipes, is described as a distributed parameter system governed by appropriate partial differential equations (PDEs). The model of the network incorporates consumption. The overall model is approximated as a system of nonlinear ordinary differential equation. Based on this nonlinear approximation, linear approximants, around prespecified operating points, are produced. Using series of computational experiments, the accuracy of the linear approximants is investigated through and a set of operating points that satisfy the dense web principle is determined. Based on this set of operating points, a bank of switching linear observers is developed toward estimation of chlorine concentration at specific points of interest. The observer parameters are determined via a metaheuristic algorithm. The design is completed through a data‐driven rule‐based system, performing stepwise switching between the observers of the bank, for the operating points determined previously. The efficiency of the proposed switching scheme is demonstrated through simulation.
Prof.
Fotis Koumboulis
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)
Prof.
Nikolaos Kouvakas
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)
Prof.
Dimitrios Fragkoulis
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)
Prof.
Maria Tzamtzi
(Robotics, Automatic Control and Cyber-Physical Systems Laboratory, Department of Digital Industry Technologies, National & Kapodistrian University of Athens)
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