Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Niklas Monzen"'
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 41-53 (2024)
Multiobjective hyperparameter optimization is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to systematically identify P
Externí odkaz:
https://doaj.org/article/d7a1046175e44ea795ffe262337b3597
Publikováno v:
Energies, Vol 15, Iss 5, p 1838 (2022)
A novel Artificial Neural Network (ANN) Based Optimal Feedforward Torque Control (OFTC) strategy is proposed which, after proper ANN design, training and validation, allows to analytically compute the optimal reference currents (minimizing copper and
Externí odkaz:
https://doaj.org/article/cfc2ae665bdc4dc598fa3620bb28fbbc
This paper presents a self-identification approach for reluctance synchronous machines (RSMs) in combination with analytical flux linkage prototype functions. Due to the severe magnetic saturation, good machine knowledge is required for high-performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::751606f13a639af7ade5a9c117139eae
https://doi.org/10.36227/techrxiv.22219609.v1
https://doi.org/10.36227/techrxiv.22219609.v1
Autor:
Christoph Hackl, Niklas Monzen
An Artificial Neural Network (ANN) based Optimal Feedforward Torque Control (OFTC) strategy for electrically excited synchronous machines (EESMs) is proposed. After design, data set creation, training and validation of the ANN, the analytical computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::078e1f0d22b7522efc0496681ebe84de
https://doi.org/10.36227/techrxiv.22060838.v1
https://doi.org/10.36227/techrxiv.22060838.v1
Synchronous machines (SMs) like reluctance synchronous machines (RSMs) or interior permanent magnet synchronous machines (IPMSMs) are characterized by nonlinear stator flux linkages which are crucial for optimal control and operation management. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6137d9136d798172efaf586fc9df86f1
https://doi.org/10.36227/techrxiv.22060877
https://doi.org/10.36227/techrxiv.22060877
Reluctance synchronous machines (RSMs) are characterized by high nonlinearities, cross-coupling effects and high torque ripple. This paper presents a nonlinear machine model of three-phase RSMs based on a nonlinear electromagnetic model including iro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a55a60c6e737dc8b08bb32d073e0d613
https://doi.org/10.36227/techrxiv.22067114
https://doi.org/10.36227/techrxiv.22067114
Publikováno v:
ICIT
The unified theory introduced in [1] allows to solve analytically the optimal feedforward torque control (OFTC) problem of anisotropic synchronous machines (SMs). In this paper, the theory is extended by considering relevant machine nonlinearities an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::156a7293dd77d02b0c6f4e94dfc237ae
https://doi.org/10.36227/techrxiv.13270949.v1
https://doi.org/10.36227/techrxiv.13270949.v1