Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Tuning of PID controllers for water networks—different approaches
Control technology is increasingly being used to improve performance of water distribution systems, although the use of control algorithms is not yet in vogue among water engineers, nor is the study of efficient controllers. It is well known, though, that the performance of controllers is dependent on the tuning of their gains (parameters). This article examines the performance of proportional integral derivative (PID) controllers, comparing three techniques for tuning the controllers— gain parameters: standard tuning by the standard Ziegler‐Nichols rules (ZNPID), offline tuning by genetic algorithms (GAPID), and automatic tuning by a fuzzy (logic) supervisor (FZPID). The article presents the effects of fixed gains and varying gains on the performance of a PID controller for a nonlinear water level‐flow control system. The ZNPID and GAPID controllers are in the fixed‐gain category, and the FZPID controller is in the varying gain category. The study finds that of the three techniques, the fuzzy‐based online tuning approach provides better control for the operation of water networks.
Tuning of PID controllers for water networks—different approaches
Control technology is increasingly being used to improve performance of water distribution systems, although the use of control algorithms is not yet in vogue among water engineers, nor is the study of efficient controllers. It is well known, though, that the performance of controllers is dependent on the tuning of their gains (parameters). This article examines the performance of proportional integral derivative (PID) controllers, comparing three techniques for tuning the controllers— gain parameters: standard tuning by the standard Ziegler‐Nichols rules (ZNPID), offline tuning by genetic algorithms (GAPID), and automatic tuning by a fuzzy (logic) supervisor (FZPID). The article presents the effects of fixed gains and varying gains on the performance of a PID controller for a nonlinear water level‐flow control system. The ZNPID and GAPID controllers are in the fixed‐gain category, and the FZPID controller is in the varying gain category. The study finds that of the three techniques, the fuzzy‐based online tuning approach provides better control for the operation of water networks.
Tuning of PID controllers for water networks—different approaches
Kumar, M. Prasanna (Autor:in) / Kumar, M.S. Mohan (Autor:in)
Journal ‐ American Water Works Association ; 101 ; 95-107
01.07.2009
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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