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Pregled bibliografske jedinice broj: 1071967

Application of an adaptive model predictive control algorithm on the Pelton turbine governor control


Beus, Mateo; Pandžić, Hrvoje;
Application of an adaptive model predictive control algorithm on the Pelton turbine governor control // IET Renewable Power Generation, 14 (2020), 10; 1720-1727 doi:10.1049/iet-rpg.2019.1291 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1071967 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application of an adaptive model predictive control algorithm on the Pelton turbine governor control

Autori
Beus, Mateo ; Pandžić, Hrvoje ;

Izvornik
IET Renewable Power Generation (1752-1416) 14 (2020), 10; 1720-1727

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
linear systems ; quadratic programming ; power generation control ; control system synthesis ; fuzzy control ; nonlinear control systems ; adaptive control ; predictive control ; three-term control ; robust control ; hydraulic turbines

Sažetak
Traditionally, hydro turbine governor applications mainly rely on classical proportional–integral–derivative controllers. A classical controller can perform optimally only at the operating point chosen during the controller design. Since hydro power plants are highly non-linear systems alternative control approaches based on adaptive parameters are needed. Historically, due to the limited computation capabilities of microprocessors and programmable logic controllers (PLCs) used in hydro turbine governors, adaptive control schemes were not frequently applied. However, the latest generation of microprocessors and PLCs facilitate the application of adaptive control scheme based on predictive control algorithm for plants with faster dynamic behaviour. In that regard, this study introduces an adaptive controller based on model predictive control (MPC) algorithm developed and applied to a non-linear simulation model of a laboratory hydro power plant. The applied MPC algorithm is based on a linear prediction model whose parameters are identified offline for different operating points across the plant's operating range. The adaptive control scheme updates the prediction model parameters depending on the current operating point. Furthermore, the predictive control algorithm applied in this study is set up as a quadratic programming (QP) optimisation problem that is solved online using a QP solver in a form of Hildreth's algorithm.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mateo Beus (autor)

Avatar Url Hrvoje Pandžić (autor)

Poveznice na cjeloviti tekst rada:

doi digital-library.theiet.org

Citiraj ovu publikaciju:

Beus, Mateo; Pandžić, Hrvoje;
Application of an adaptive model predictive control algorithm on the Pelton turbine governor control // IET Renewable Power Generation, 14 (2020), 10; 1720-1727 doi:10.1049/iet-rpg.2019.1291 (međunarodna recenzija, članak, znanstveni)
Beus, M., Pandžić, H. & (2020) Application of an adaptive model predictive control algorithm on the Pelton turbine governor control. IET Renewable Power Generation, 14 (10), 1720-1727 doi:10.1049/iet-rpg.2019.1291.
@article{article, author = {Beus, Mateo and Pand\v{z}i\'{c}, Hrvoje}, year = {2020}, pages = {1720-1727}, DOI = {10.1049/iet-rpg.2019.1291}, keywords = {linear systems, quadratic programming, power generation control, control system synthesis, fuzzy control, nonlinear control systems, adaptive control, predictive control, three-term control, robust control, hydraulic turbines}, journal = {IET Renewable Power Generation}, doi = {10.1049/iet-rpg.2019.1291}, volume = {14}, number = {10}, issn = {1752-1416}, title = {Application of an adaptive model predictive control algorithm on the Pelton turbine governor control}, keyword = {linear systems, quadratic programming, power generation control, control system synthesis, fuzzy control, nonlinear control systems, adaptive control, predictive control, three-term control, robust control, hydraulic turbines} }
@article{article, author = {Beus, Mateo and Pand\v{z}i\'{c}, Hrvoje}, year = {2020}, pages = {1720-1727}, DOI = {10.1049/iet-rpg.2019.1291}, keywords = {linear systems, quadratic programming, power generation control, control system synthesis, fuzzy control, nonlinear control systems, adaptive control, predictive control, three-term control, robust control, hydraulic turbines}, journal = {IET Renewable Power Generation}, doi = {10.1049/iet-rpg.2019.1291}, volume = {14}, number = {10}, issn = {1752-1416}, title = {Application of an adaptive model predictive control algorithm on the Pelton turbine governor control}, keyword = {linear systems, quadratic programming, power generation control, control system synthesis, fuzzy control, nonlinear control systems, adaptive control, predictive control, three-term control, robust control, hydraulic turbines} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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