Multimodeling Control via System Balancing
Апстракт
A new approach in multimodeling strategy is proposed. Multimodel strategies in which control agents use different simplified models of the same system are being developed using balancing transformation and the corresponding order reduction concepts. Traditionally, the multimodeling concept was studied using the ideas of multitime scales (singular perturbations) and weak subsystem coupling. For all reduced-order models obtained, a Linear Quadratic Gaussian (LQG) control problem was solved. Different order reduction techniques were compared based on the values of the optimized criteria for the closed-loop case where the full-order balanced model utilizes regulators calculated to be the optimal for various reduced-order models. The results obtained were demonstrated on a real-world example: a multiarea power system consisting of two identical areas, that is, two identical power plants.
Извор:
Mathematical Problems in Engineering, 2010, 2010Издавач:
- Hindawi Ltd, London
DOI: 10.1155/2010/841830
ISSN: 1024-123X
WoS: 000281395300001
Scopus: 2-s2.0-77955303030
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Ratković-Kovačević, Nada AU - Škatarić, Dobrila PY - 2010 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1098 AB - A new approach in multimodeling strategy is proposed. Multimodel strategies in which control agents use different simplified models of the same system are being developed using balancing transformation and the corresponding order reduction concepts. Traditionally, the multimodeling concept was studied using the ideas of multitime scales (singular perturbations) and weak subsystem coupling. For all reduced-order models obtained, a Linear Quadratic Gaussian (LQG) control problem was solved. Different order reduction techniques were compared based on the values of the optimized criteria for the closed-loop case where the full-order balanced model utilizes regulators calculated to be the optimal for various reduced-order models. The results obtained were demonstrated on a real-world example: a multiarea power system consisting of two identical areas, that is, two identical power plants. PB - Hindawi Ltd, London T2 - Mathematical Problems in Engineering T1 - Multimodeling Control via System Balancing VL - 2010 DO - 10.1155/2010/841830 ER -
@article{ author = "Ratković-Kovačević, Nada and Škatarić, Dobrila", year = "2010", abstract = "A new approach in multimodeling strategy is proposed. Multimodel strategies in which control agents use different simplified models of the same system are being developed using balancing transformation and the corresponding order reduction concepts. Traditionally, the multimodeling concept was studied using the ideas of multitime scales (singular perturbations) and weak subsystem coupling. For all reduced-order models obtained, a Linear Quadratic Gaussian (LQG) control problem was solved. Different order reduction techniques were compared based on the values of the optimized criteria for the closed-loop case where the full-order balanced model utilizes regulators calculated to be the optimal for various reduced-order models. The results obtained were demonstrated on a real-world example: a multiarea power system consisting of two identical areas, that is, two identical power plants.", publisher = "Hindawi Ltd, London", journal = "Mathematical Problems in Engineering", title = "Multimodeling Control via System Balancing", volume = "2010", doi = "10.1155/2010/841830" }
Ratković-Kovačević, N.,& Škatarić, D.. (2010). Multimodeling Control via System Balancing. in Mathematical Problems in Engineering Hindawi Ltd, London., 2010. https://doi.org/10.1155/2010/841830
Ratković-Kovačević N, Škatarić D. Multimodeling Control via System Balancing. in Mathematical Problems in Engineering. 2010;2010. doi:10.1155/2010/841830 .
Ratković-Kovačević, Nada, Škatarić, Dobrila, "Multimodeling Control via System Balancing" in Mathematical Problems in Engineering, 2010 (2010), https://doi.org/10.1155/2010/841830 . .