Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ludovico Ortombina"'
Autor:
Andrea Favato, Paolo Gherardo Carlet, Francesco Toso, Riccardo Torchio, Ludovico Ortombina, Mattia Bruschetta, Ruggero Carli, Piergiorgio Alotto, Silverio Bolognani, Jose Rodriguez
Publikováno v:
IEEE Access, Vol 10, Pp 17430-17440 (2022)
This paper proposes a fast and accurate solver for implicit Continuous Set Model Predictive Control for the current control loop of synchronous motor drives with input constraints, allowing for reaching the maximum voltage feasible set. The related c
Externí odkaz:
https://doaj.org/article/98d0b632b6bf4ac592be999288c81f7a
Publikováno v:
Energies, Vol 15, Iss 5, p 1930 (2022)
This paper deals with motor design aspects and control strategies for the flux-weakening (FW) operation of synchronous motors. The theory of FW is described by taking into account different control schemes. The advantages and drawbacks of each one ar
Externí odkaz:
https://doaj.org/article/5b0a71704f4f4073bc88acf915ad634b
Publikováno v:
IEEE Transactions on Industry Applications. 59:1775-1787
This paper proposes a long-horizon direct model predictive control (MPC) with reference tracking for medium-voltage (MV) drives that achieves favorable steady-state and transient behavior. However, as MPC is a model-based method, it is susceptible to
Publikováno v:
2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD).
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Power Electronics. 10:1925-1934
The work focuses on a new mathematical formulation for the transfer function of a pulsating injection-based position observer, as the key point for its correct design. The proposed analysis exploits the modulation/demodulation control theory to deriv
Publikováno v:
IEEE Transactions on Industry Applications. 56:4945-4954
The article deals with the flux linkages estimation of a synchronous motor during either speed or load transients. The nonlinear magnetic model is obtained by a radial basis function neural network (NN), which yields a differentiable function as link
Publikováno v:
2021 IEEE Energy Conversion Congress and Exposition (ECCE).
Long-horizon direct model predictive control (MPC) has pronounced computational complexity and is susceptible to parameter mismatches. To address these issues, this paper proposes a solution that enhances the robustness of long-horizon direct MPC, wh
Autor:
Francesco Toso, Ludovico Ortombina, Jose Rodriguez, Silverio Bolognani, Paolo Gherardo Carlet, Ruggero Carli, Riccardo Torchio, Mattia Bruschetta, Andrea Favato
This paper proposes an efficient QP solver for electric motors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cb624ec3237d37c77bab9c6e041fa60
https://doi.org/10.36227/techrxiv.15067401
https://doi.org/10.36227/techrxiv.15067401
Autor:
Jose Rodriguez, Silverio Bolognani, Ruggero Carli, Mattia Bruschetta, Ludovico Ortombina, Riccardo Torchio, Francesco Toso, Paolo Gherardo Carlet, Andrea Favato
This paper proposes a fast and accurate solver for implicit Continuous Set Model Predictive Control for the current control loop of synchronous motor drives with input constraints, allowing for reaching the maximum voltage feasible set. The related c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6a7cbf412567299a38a67a5a0439e9d
https://doi.org/10.36227/techrxiv.15067401.v2
https://doi.org/10.36227/techrxiv.15067401.v2