Title: FPGA - based accelerator for model predictive control of induction motor drive
Authors: Košan, Tomáš
Talla, Jakub
Janouš, Štěpán
Blahník, Vojtěch
Citation: KOŠAN, T., TALLA, J., JANOUŠ, Š., BLAHNÍK, V. FPGA - based accelerator for model predictive control of induction motor drive. In Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika (ME). Piscataway: IEEE, 2018. s. 229-234. ISBN 978-80-214-5542-9.
Issue Date: 2018
Publisher: IEEE
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/33713
ISBN: 978-80-214-5542-9
Keywords in different language: model predictive control;induction motor;finite control set;FPGA modeling
Abstract in different language: The model predictive control is a set of algorithms which uses the dynamical model of controlled system to predict the future systems responses. Nowadays, the nonlinear finite control set model predictive control (FCS-MPC) is a popular technique for control of induction motor drives. The FCS-MPC enables accurate and high-dynamic control of the induction motor currents, rotational speed, torque etc. with respect to system constraints (e.g. urrent/voltage limitations). The main drawbacks of FCS-MPC algorithms are their computational requirements which reduce FCS-MPC prediction horizon and its applications. Our paper is focused on the FPGA accelerator of FCS-MPC of induction motor extended by the three phase inverter model with dead-times and voltage drops. These inverter nonlinear effects play important role especially in nonnominal drive conditions (e.g. low speeds).
Rights: Plný text je přístupný v rámci univerzity přihlášeným uživatelům.
Appears in Collections:Konferenční příspěvky / Conference papers (RICE)
Konferenční příspěvky / Conference papers (KEV)

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