Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sanaz Sabzevari"'
Publikováno v:
Energies, Vol 14, Iss 8, p 2325 (2021)
An accurate definition of a system model significantly affects the performance of model-based control strategies, for example, model predictive control (MPC). In this paper, a model-free predictive control strategy is presented to mitigate all ramifi
Externí odkaz:
https://doaj.org/article/c7249e179eeb40b2a658a30e3ef2976d
Autor:
Rasool Heydari, Hector Young, Freddy Flores-Bahamonde, Sadegh Vaez-Zadeh, Catalina Gonzalez-Castano, Sanaz Sabzevari, Jose Rodriguez
Publikováno v:
IEEE Transactions on Power Electronics. 37:9200-9211
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG).
Autor:
Mohammad Reza Arvan, S. M. Mehdi Dehghan, Ahmad Reza Vali, Sanaz Sabzevari, Mohammad Hossein Ferdowsi
Publikováno v:
ISA Transactions. 102:314-324
This paper addresses designing a nonlinear symmetry observer for nano-satellite attitude determination with only Three-Axis Magnetometer (TAM). Hence, two nested filters are delineated to compensate for the lack of data and to solve the observability
Publikováno v:
Sabzevari, S, Heydari, R, Mohiti, M, Savaghebi, M & Rodriguez, J 2021, ' Model-free neural network-based predictive control for robust operation of power converters ', Energies, vol. 14, no. 8, 2325 . https://doi.org/10.3390/en14082325
Energies; Volume 14; Issue 8; Pages: 2325
Energies, Vol 14, Iss 2325, p 2325 (2021)
Energies; Volume 14; Issue 8; Pages: 2325
Energies, Vol 14, Iss 2325, p 2325 (2021)
An accurate definition of a system model significantly affects the performance of model-based control strategies, for example, model predictive control (MPC). In this paper, a model-free predictive control strategy is presented to mitigate all ramifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1a482a0d7ffc6a32a12ed1fc3226d3f
https://vbn.aau.dk/da/publications/61d23380-a9d2-465a-9dac-7fe1c46b27cf
https://vbn.aau.dk/da/publications/61d23380-a9d2-465a-9dac-7fe1c46b27cf
Autor:
Hector Young, Mahdi Nematshahi, Sanaz Sabzevari, Rasool Heydari, Freddy Flores-Bahamonde, Catalina Gonzalez, Yongchang Zhang, Jose Rodriguez
Publikováno v:
Young, H, Nematshahi, M, Sabzevari, S, Heydari, R, Flores-Bahamonde, F, Gonzalez, C, Zhang, Y & Rodriguez, J 2021, Model-free Predictive Torque Control of an Induction Machine Based on Parameter Estimation . in 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 . IEEE, pp. 725-731, 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021, Jinan, China, 20/11/2021 . https://doi.org/10.1109/PRECEDE51386.2021.9681044
The uncertainty or variation of the electric machine parameters in predictive torque control (PTC) has a noticeable impact on the controller's performance. This paper proposes a model-free PTC strategy based on the estimation of the prediction model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc076e7e3708cd1363fdbdcc212d2967
https://vbn.aau.dk/da/publications/d548b171-11db-4437-a916-52e26c3965e0
https://vbn.aau.dk/da/publications/d548b171-11db-4437-a916-52e26c3965e0
Autor:
Catalina Gonzalez-Castano, Freddy Flores-Bahamonde, Hector Young, Rasool Heydari, Sanaz Sabzevari, Jose Rodriguez
Publikováno v:
Gonzalez-Castano, C, Flores-Bahamonde, F, Young, H, Heydari, R, Sabzevari, S & Rodriguez, J 2021, Comparison between Model-Free Predictive and Adaptive Linear Control of a Voltage Source Inverter . in 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 . IEEE, pp. 813-818, 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021, Jinan, China, 20/11/2021 . https://doi.org/10.1109/PRECEDE51386.2021.9681006
Classical Pulse-width modulation (PWM)-based controllers have been widely studied and applied to different power conversion systems. This is the case of the classical voltage source inverter (VSI), where typical PI-based regulators have been applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b392b95317686323ca74fb49032cff86
https://vbn.aau.dk/da/publications/0e313470-84b6-4326-8fd1-75643e95e014
https://vbn.aau.dk/da/publications/0e313470-84b6-4326-8fd1-75643e95e014
Autor:
Catalina Gonzalez-Castano, Freddy Flores-Bahamonde, Hector Young, Rasool Heydari, Sanaz Sabzevari, Jose Rodriguez
Publikováno v:
Gonzalez-Castano, C, Flores-Bahamonde, F, Young, H, Heydari, R, Sabzevari, S & Rodriguez, J 2021, Model-Free Predictive Control based on ARX Representation : A Comparative Assessment with Proportional-Integral Regulator . in 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 . IEEE, pp. 953-958, 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021, Jinan, China, 20/11/2021 . https://doi.org/10.1109/PRECEDE51386.2021.9680966
This paper presents a performance comparison between the well-known proportional-integral regulator based on pulse-width-modulation (PWM) and the novel model-free predictive control for the current regulation of a three-phase two-level voltage-source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85f11dcb078b1e0fb25df1e20a50bb9c
https://vbn.aau.dk/da/publications/a8a13d5d-4ffd-46c8-8372-1eb1f7fb6111
https://vbn.aau.dk/da/publications/a8a13d5d-4ffd-46c8-8372-1eb1f7fb6111
Publikováno v:
Journal of Renewable and Sustainable Energy. 9:013302
This paper proposes a maximum power point tracking (MPPT) technique based on the tip speed ratio control for small scale wind turbines (WTs). In this paper, artificial neural network based particle swarm optimization has been trained offline to learn