Pregled bibliografske jedinice broj: 1126672
Computationally Efficient Set-based Predictive Control for Grid-tied Inverters
Computationally Efficient Set-based Predictive Control for Grid-tied Inverters // Proceedings of the 2021 22nd IEEE International Conference on Industrial Technology (ICIT) / Ramón Blasco-Gimenez, Spain (ur.).
Valencia: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1283-1288 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Computationally Efficient Set-based Predictive
Control for Grid-tied Inverters
Autori
Babojelić, Renato ; Ileš, Šandor ; Šunde, Viktor ; Matuško, Jadranko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2021 22nd IEEE International Conference on Industrial Technology (ICIT)
/ Ramón Blasco-Gimenez, Spain - Valencia : Institute of Electrical and Electronics Engineers (IEEE), 2021, 1283-1288
ISBN
978-1-7281-5729-0
Skup
IEEE 22nd International Conference on Industrial Technology (ICIT 2021)
Mjesto i datum
Valencia, Španjolska, 10.03.2021. - 12.03.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
power converters, model predictive control, finite control set, robust control, fast gradient projection method
Sažetak
This paper presents a fast gradient projection model predictive control algorithm based on a sequence of 1-step controllable sets for controlling a grid-tied converter with an LCL filter. The proposed method uses a set membership constraint on the first state, which ensures finite time convergence to the terminal set. To use the fast gradient projection method to solve the finite-time optimal control problem with state constraints, we adopted an approach where the set membership constraint is transformed into the corresponding input constraint as a function of the current state. In this way, no significant additional computational load was introduced, allowing the MPC algorithm to be solved efficiently.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
HRZZ-IP-2016-06-2519 - Računalno učinkovito upravljanje učinskim pretvaračima u mikromrežama (PowerCon2) (Matuško, Jadranko, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb