Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Andrea Favato"'
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
Autor:
Paolo Gherardo Carlet, Andrea Favato, Riccardo Torchio, Francesco Toso, Saverio Bolognani, Florian Dorfler
Publikováno v:
IEEE Transactions on Power Electronics, 38 (2)
The data-driven control paradigm allows overcoming conventional troubles in the controller design related to model identifications procedures. Raw data are directly exploited in the control input selection by forcing the future plant dynamics to be c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87523eef64cdd98ddde97739f66b656e
https://hdl.handle.net/20.500.11850/579513
https://hdl.handle.net/20.500.11850/579513
Publikováno v:
IEEE Transactions on Power Electronics, 37 (6)
Optimization-based control strategies are an affirmed research topic in the area of electric motor drives. These methods typically rely on the accurate parametric representation of equations of a motor. In this article, we present the transition from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71bd8060a386dc0eff4952710317ae05
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
Autor:
Silverio Bolognani, Jose Rodriguez, Mattia Bruschetta, Francesco Toso, Andrea Favato, Ruggero Carli, Paolo Gherardo Carlet, Riccardo Torchio
This paper proposes an effective 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 quadrati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75253f43ad533f5f532d72e4e4f4ef36
https://doi.org/10.36227/techrxiv.15067401.v1
https://doi.org/10.36227/techrxiv.15067401.v1
Autor:
Silverio Bolognani, Andrea Favato, Piergiorgio Alotto, Francesco Toso, Paolo Gherardo Carlet, Riccardo Torchio
Publikováno v:
MetroAutomotive
Digital Twins can be defined as virtual representation of physical assets enabled through data and simulators, for real time prediction, optimization, control, and decision making improvements. In this paper, the concept of digital twin is applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::906f6f90ae1b7d55d80d16c1dbdd15fd
http://hdl.handle.net/11577/3400984
http://hdl.handle.net/11577/3400984
Model predictive control (MPC) represents an affirmed optimal control strategy, able to handle multivariable systems and their input–output constraints. However, MPC does not provide an integral control action for reference tracking control problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::361c35a59ed1fe589169ce799cb47bd9
http://hdl.handle.net/11577/3393916
http://hdl.handle.net/11577/3393916
This paper deals with a novel control architecture for pulse width modulation inverters connected to the grid through resonant LCL filters. A continuous-control-set model predictive control scheme is derived for the grid current loop. A state observe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ccfd73d15f813ec45dd5ca671f0ffaa
http://hdl.handle.net/11577/3368117
http://hdl.handle.net/11577/3368117
Publikováno v:
2020 IEEE Energy Conversion Congress and Exposition (ECCE).
Data-driven control techniques have become increasingly popular in recent years due to the availability of massive amounts of data and several advances in data science. These control design methods bypass the system identification step and directly e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85ddf00308b3cf2013bf7b8bf4ae72e9
https://doi.org/10.1109/ecce44975.2020.9235958
https://doi.org/10.1109/ecce44975.2020.9235958