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Dealing with suboptimality in multistep model predictive control for transient operations

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Standard

Dealing with suboptimality in multistep model predictive control for transient operations. / Baidya, Roky; Aguilera, Ricardo P.; Karamanakos, Petros; Acuna, Pablo; Rojas, Christian; Geyer, Tobias; Lu, Dylan D.-C.

2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2019. s. 3780-3785 (IEEE Energy Conversion Congress and Exposition).

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Harvard

Baidya, R, Aguilera, RP, Karamanakos, P, Acuna, P, Rojas, C, Geyer, T & Lu, DD-C 2019, Dealing with suboptimality in multistep model predictive control for transient operations. julkaisussa 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Energy Conversion Congress and Exposition, IEEE, Sivut 3780-3785, IEEE Energy Conversion Congress and Exposition, 1/01/00. https://doi.org/10.1109/ECCE.2019.8912815

APA

Baidya, R., Aguilera, R. P., Karamanakos, P., Acuna, P., Rojas, C., Geyer, T., & Lu, D. D-C. (2019). Dealing with suboptimality in multistep model predictive control for transient operations. teoksessa 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (Sivut 3780-3785). (IEEE Energy Conversion Congress and Exposition). IEEE. https://doi.org/10.1109/ECCE.2019.8912815

Vancouver

Baidya R, Aguilera RP, Karamanakos P, Acuna P, Rojas C, Geyer T et al. Dealing with suboptimality in multistep model predictive control for transient operations. julkaisussa 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE. 2019. s. 3780-3785. (IEEE Energy Conversion Congress and Exposition). https://doi.org/10.1109/ECCE.2019.8912815

Author

Baidya, Roky ; Aguilera, Ricardo P. ; Karamanakos, Petros ; Acuna, Pablo ; Rojas, Christian ; Geyer, Tobias ; Lu, Dylan D.-C. / Dealing with suboptimality in multistep model predictive control for transient operations. 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2019. Sivut 3780-3785 (IEEE Energy Conversion Congress and Exposition).

Bibtex - Lataa

@inproceedings{d4b84d6f9fb0441b9533961845424621,
title = "Dealing with suboptimality in multistep model predictive control for transient operations",
abstract = "Recently, a computational issue of sphere decoding algorithm (SDA) during transient operation of multistep model predictive control has been addressed in [1] and achieved its real-time implementation in [2] for a medium-voltage electrical drive system. This is achieved by projecting the unconstrained solution onto the convex-hull of the finite control set during transient operation. Therefore, a new initial sphere that guarantees feasibility and includes a significant smaller number of candidate solutions is obtained. This reduces the computation time required to solve the optimization problem. However, the reduction of the computational burden comes at the expense of (mild) suboptimal results [3]. This paper analyses the possibility to obtain a suboptimal solution by the SDA based optimization during transient operation. To deal with this suboptimality issue, this work explores the possibility to enlarge the convex-hull, whose size is by definition tied to the original finite control set. Therefore, in this work, the convex-hull is treated as a SDA initialization parameter during transient operation. As will be demonstrated, enlarging the convex-hull size reduces the possibility to obtain a suboptimal solution during the transient operation retaining, thus, the optimality during the whole converter operation.",
author = "Roky Baidya and Aguilera, {Ricardo P.} and Petros Karamanakos and Pablo Acuna and Christian Rojas and Tobias Geyer and Lu, {Dylan D.-C.}",
year = "2019",
month = "9",
doi = "10.1109/ECCE.2019.8912815",
language = "English",
isbn = "978-1-7281-0396-9",
series = "IEEE Energy Conversion Congress and Exposition",
publisher = "IEEE",
pages = "3780--3785",
booktitle = "2019 IEEE Energy Conversion Congress and Exposition (ECCE)",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Dealing with suboptimality in multistep model predictive control for transient operations

AU - Baidya, Roky

AU - Aguilera, Ricardo P.

AU - Karamanakos, Petros

AU - Acuna, Pablo

AU - Rojas, Christian

AU - Geyer, Tobias

AU - Lu, Dylan D.-C.

PY - 2019/9

Y1 - 2019/9

N2 - Recently, a computational issue of sphere decoding algorithm (SDA) during transient operation of multistep model predictive control has been addressed in [1] and achieved its real-time implementation in [2] for a medium-voltage electrical drive system. This is achieved by projecting the unconstrained solution onto the convex-hull of the finite control set during transient operation. Therefore, a new initial sphere that guarantees feasibility and includes a significant smaller number of candidate solutions is obtained. This reduces the computation time required to solve the optimization problem. However, the reduction of the computational burden comes at the expense of (mild) suboptimal results [3]. This paper analyses the possibility to obtain a suboptimal solution by the SDA based optimization during transient operation. To deal with this suboptimality issue, this work explores the possibility to enlarge the convex-hull, whose size is by definition tied to the original finite control set. Therefore, in this work, the convex-hull is treated as a SDA initialization parameter during transient operation. As will be demonstrated, enlarging the convex-hull size reduces the possibility to obtain a suboptimal solution during the transient operation retaining, thus, the optimality during the whole converter operation.

AB - Recently, a computational issue of sphere decoding algorithm (SDA) during transient operation of multistep model predictive control has been addressed in [1] and achieved its real-time implementation in [2] for a medium-voltage electrical drive system. This is achieved by projecting the unconstrained solution onto the convex-hull of the finite control set during transient operation. Therefore, a new initial sphere that guarantees feasibility and includes a significant smaller number of candidate solutions is obtained. This reduces the computation time required to solve the optimization problem. However, the reduction of the computational burden comes at the expense of (mild) suboptimal results [3]. This paper analyses the possibility to obtain a suboptimal solution by the SDA based optimization during transient operation. To deal with this suboptimality issue, this work explores the possibility to enlarge the convex-hull, whose size is by definition tied to the original finite control set. Therefore, in this work, the convex-hull is treated as a SDA initialization parameter during transient operation. As will be demonstrated, enlarging the convex-hull size reduces the possibility to obtain a suboptimal solution during the transient operation retaining, thus, the optimality during the whole converter operation.

U2 - 10.1109/ECCE.2019.8912815

DO - 10.1109/ECCE.2019.8912815

M3 - Conference contribution

SN - 978-1-7281-0396-9

T3 - IEEE Energy Conversion Congress and Exposition

SP - 3780

EP - 3785

BT - 2019 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE

ER -