Modelling and Internal Fuzzy Model Power Control of a Francis Water Turbine

Klemen Nagode and Igor Škrjanc
Additional contact information
Klemen Nagode: Department of Electrical Engineering, Sava Hydroelectric Power Plants Ljubljana d.o.o., Gorenjska Street 46, 1215 Medvode, Slovenia
Igor Škrjanc: Department of System, Control and Cybernetics, Faculty of Electrical Engineering, Tržaška Street 25, SI-1000 Ljubljana, Slovenia

Energies, 2014, vol. 7, issue 2, 1-16

Abstract: This paper presents dynamic modelling of a Francis turbine with a surge tank and the control of a hydro power plant (HPP). Non-linear and linear models include technical parameters and show high similarity to measurement data. Turbine power control with an internal model control (IMC) is proposed, based on a turbine fuzzy model. Considering appropriate control responses in the entire area of turbine power, the model parameters of the process are determined from a fuzzy model, which are further included in the internal model controller. The results are compared to a proportional-integral (PI) controller tuned with an integral absolute error (IAE) objective function, and show an improved response of internal model control.

Keywords: Francis turbine; fuzzy control; fuzzy model; hydro power plant; internal model control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://www.mdpi.com/1996-1073/7/2/874/pdf (application/pdf)
https://www.mdpi.com/1996-1073/7/2/874/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:7:y:2014:i:2:p:874-889:d:33074

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().