Pregled bibliografske jedinice broj: 1134283
Piece-wise ellipsoidal set-based model predictive control of linear parameter varying systems with application to a tower crane
Piece-wise ellipsoidal set-based model predictive control of linear parameter varying systems with application to a tower crane // Asian journal of control, 23 (2021), 3; 1324-1339 doi:10.1002/asjc.2515 (međunarodna recenzija, članak, znanstveni)
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Naslov
Piece-wise ellipsoidal set-based model
predictive control of linear parameter varying
systems with application to a tower crane
Autori
Ileš, Šandor ; Matuško, Jadranko ; Lazar, Mircea
Izvornik
Asian journal of control (1561-8625) 23
(2021), 3;
1324-1339
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
control of a 3d tower crane, linear parameter varying systems, model predictive control, tensor product model transformation
Sažetak
In this paper, a model predictive control algorithm for polytopic linear parameter varying (LPV) systems is proposed, which is based on an offline calculated sequence of robust one-step controllable sets. At each sampling instant, a finite-time optimal control problem is solved subject to a stabilizing constraint on the first state to ensure stability and recursive feasibility guarantees independent of the length of the prediction horizon and the cost function. An algorithm is proposed to compute a sequence of piece-wise ellipsoidal one-step controllable sets. The systematic application of the developed algorithm is possible via tensor product model transformation to a class of nonlinear systems. The size and shape of each set depend on the vertices of the polytopic LPV system and influences the control performance. By using the tensor product model transformation, different vertex representations can be obtained automatically. Furthermore, a trade- off between model complexity and accuracy can be chosen, and the computational effort of the set calculation can be influenced. The developed method is applied to a tower crane system. The tower crane is modeled in a cascaded form with three separate subsystems. The couplings between the subsystems are treated as varying parameters. Each subsystem of the crane is transformed into a polytopic LPV system using the tensor product model transformation. By discarding the nonzero singular values, the complexity of the polytopic LPV model is reduced in terms of the number of vertices.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
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