Pregled bibliografske jedinice broj: 971555
Application of Model Predictive Control Algorithm on a Hydro Turbine Governor Control
Application of Model Predictive Control Algorithm on a Hydro Turbine Governor Control // Power Systems Computation Conference (PSCC)
Dublin, Irska: Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 1-7 doi:10.23919/PSCC.2018.8442594 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Application of Model Predictive Control Algorithm on a Hydro Turbine Governor Control
Autori
Beus, Mateo ; Pandžić, Hrvoje ;
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
ISBN
978-1-910963-10-4
Skup
Power Systems Computation Conference (PSCC)
Mjesto i datum
Dublin, Irska, 11.06.2018. - 15.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
hydraulic turbine dynamic model , linear model , load frequency control , predictive control , turbine governors
Sažetak
Operation of the most turbine governors currently in use is based on Proportional- Integral-Derivative (PID) controllers. The use of PID controllers is widespread primarily because of their extensive applicability to a variety of single-input-single-output (SISO) applications. However, classical PID controllers have disadvantages, e.g. resiliency to disturbances and uncertainties, as well as integral windup. In this regard, a controller based on the Model Predictive Control (MPC) algorithm, which is known as a Generalized Predictive Control (GPC), is developed and applied to a linearized SISO model of the hydropower plant. The response of the system with constrained GPC is compared to the classical PI controller. The main conclusion is that GPC provides better performance than the classical PI regulator.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb