@inproceedings{MTMT:34123152,
	title = {Quadratic Regression Model Based Predictive Control of PMSM Drives with Field Weakening Operation Capability Constrained to the Linear Modulation Range},
	url = {https://m2.mtmt.hu/api/publication/34123152},
	author = {Bándy, Kristóf Gábor and Stumpf, Péter Pál},
	booktitle = {2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)},
	doi = {10.1109/ISIE51358.2023.10228069},
	unique-id = {34123152},
	year = {2023},
	pages = {1-6},
	orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X}
}

@article{MTMT:34044691,
	title = {Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art},
	url = {https://m2.mtmt.hu/api/publication/34044691},
	author = {Stumpf, Péter Pál and Tóth-Katona, Tamás},
	doi = {10.3390/en16135103},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {16},
	unique-id = {34044691},
	issn = {1996-1073},
	abstract = {Interior permanent-magnet synchronous machines (IPMSMs) are widely used as traction motors in electric drive-trains because of their high torque-per-ampere characteristics and potential for wide field-weakening operations to expand the constant-power range. This paper offers a categorization and a comprehensive overview of the control techniques applied to IPMSM drivesin addition to presenting the necessary theoretical background. The basic concept, features and limitations, as well as the latest developments of the strategies, are summarized in the paper. This overview helps to lay the theoretical basis as well as to clarify the opportunities, challenges and future trends for controlling IPMSM drives for traction applications.},
	year = {2023},
	eissn = {1996-1073},
	pages = {5103}
}

@CONFERENCE{MTMT:34008302,
	title = {Állandómágneses szinkrongépek paraméteridentifikációs algoritmusainak összehasonlítása},
	url = {https://m2.mtmt.hu/api/publication/34008302},
	author = {Bertók, Zsanett and Budai, Csaba and Stumpf, Péter Pál},
	booktitle = {OGÉT 2023},
	unique-id = {34008302},
	year = {2023},
	pages = {29-34},
	orcid-numbers = {Budai, Csaba/0000-0003-3749-8394}
}

@inproceedings{MTMT:33794709,
	title = {Real-Time Validation of Quadratic Regression Model-Based Predictive Control of Grid-Side Converters},
	url = {https://m2.mtmt.hu/api/publication/33794709},
	author = {Bándy, Kristóf Gábor and Stumpf, Péter Pál and CHOWDHURY, MD MOSHIUR and Sütő, Zoltán},
	booktitle = {PCIM Europe : International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 9-11 May 2023, Nuremberg / Organizer: Mesago Messe Frankfurt GmbH},
	unique-id = {33794709},
	year = {2023},
	pages = {2368-2375},
	orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X}
}

@inproceedings{MTMT:33296782,
	title = {Finite Set Model Predictive Control of PMSM drives with LC filter using dynamic weighting factor assignment},
	url = {https://m2.mtmt.hu/api/publication/33296782},
	author = {Bándy, Kristóf Gábor and Stumpf, Péter Pál},
	booktitle = {2022 20th International Conference on Mechatronics - Mechatronika (ME)},
	doi = {10.1109/ME54704.2022.9982895},
	unique-id = {33296782},
	abstract = {This paper proposes a novel method to assign the weighting factor values online for a PMSM drive outfitted with an LC filter in model predictive control. This aforementioned system has six independent variables that are to be controlled. Therefore the cost function at the core of the predictive controller should optimize for all six variables, such that the resulting control law provides acceptable performance metrics. This can be achieved with weighting factors, that determine the importance of each variable of the cost function. In this paper we propose the dynamic assignment of weighting factors, where the cost of a given variable is calculated based on the set of predictions for the same variable. This technique can be utilized to determine weighting factor values for a given system or even improve the performance metrics compared to methods using constant weighting factors. Simulation results show the method in practice.},
	keywords = {predictive control; electric machines; Weighting factors},
	year = {2022},
	pages = {313-319},
	orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X}
}

@article{MTMT:32871842,
	title = {Quadratic Regression Model Based Indirect Model Predictive Control of AC Drives},
	url = {https://m2.mtmt.hu/api/publication/32871842},
	author = {Bándy, Kristóf Gábor and Stumpf, Péter Pál},
	doi = {10.1109/TPEL.2022.3181749},
	journal-iso = {IEEE T POWER ELECTR},
	journal = {IEEE TRANSACTIONS ON POWER ELECTRONICS},
	volume = {37},
	unique-id = {32871842},
	issn = {0885-8993},
	abstract = {Model predictive control is a promising technique for electric drives as it enables optimization for multiple parameters and offers reliable operation with nonlinear systems. In this article, a novel approach is presented that aims to harness the advantages of both finite and continuous set model predictive methods in converter-fed ac drive control. The proposed method requires the calculation of only seven predicted states. These states are then assigned cost function values. Using a quadratic regression model, the cost function is mapped to the entire modulation region. After solving a constrained optimization problem on this cost function mapping, the optimal voltage vector is obtained, which is then applied via pulsewidth modulation. The presented method can also be applied to multilevel converter structures without the need to calculate predictions for additional voltage vectors. Therefore, the proposed method does not increase in complexity with the utilized converter topology. Furthermore, the method offers a fixed switching frequency operation and an exact noniterative solution to the optimization problem due to the formulation of the regression model. As a case study, simulation and experimental results verify the operation of the predictive torque control for permanent magnet synchronous machines with the proposed method.},
	year = {2022},
	eissn = {1941-0107},
	pages = {13158-13177},
	orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X; Stumpf, Péter Pál/0000-0003-4065-8790}
}

@inproceedings{MTMT:32838351,
	title = {Synchronized MPTC Scheme for High Frequency PMSM Drives Using Dynamic Weighting Factor Calculation},
	url = {https://m2.mtmt.hu/api/publication/32838351},
	author = {Bándy, Kristóf Gábor and Tóth-Katona, Tamás and Stumpf, Péter Pál},
	booktitle = {Proceedings of International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 2022)},
	doi = {10.30420/565822095},
	unique-id = {32838351},
	year = {2022},
	pages = {691-700},
	orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X}
}

@inproceedings{MTMT:32838331,
	title = {Torque Control of Induction Machines Using QRM-MPC Approach},
	url = {https://m2.mtmt.hu/api/publication/32838331},
	author = {Bándy, Kristóf Gábor and Stumpf, Péter Pál},
	booktitle = {Proceedings of International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 2022)},
	doi = {10.30420/565822215},
	unique-id = {32838331},
	year = {2022},
	pages = {1555-1563},
	orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X}
}

@article{MTMT:32070242,
	title = {New Four-Channel Resonant Boost DC/DC Converter},
	url = {https://m2.mtmt.hu/api/publication/32070242},
	author = {Hamar, János and Stumpf, Péter Pál},
	doi = {10.1109/ACCESS.2021.3086911},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {9},
	unique-id = {32070242},
	issn = {2169-3536},
	year = {2021},
	eissn = {2169-3536},
	pages = {82335-82350}
}

@inproceedings{MTMT:32037517,
	title = {Space Vector Based Investigation of Overmodulation Region of Inverter Fed Multiphase AC Drives},
	url = {https://m2.mtmt.hu/api/publication/32037517},
	author = {Stumpf, Péter Pál and Bándy, Kristóf Gábor and Halász, Sándor},
	booktitle = {2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)},
	doi = {10.1109/PEMC48073.2021.9432539},
	unique-id = {32037517},
	abstract = {Space vector investigation of multi-phase inverters in overmodulation region is presented in the paper to study ac motor harmonic losses. It is shown that, in full overmodulation region the optimization of additional switching angles of inverter does not ensure the acceptable decrease of motor harmonic losses. Therefore the motor voltage region above 80-87% of the inverter maximum possible value is virtually restricted at least for a steady state operation. At the same time, the space vector investigation of multi-phase system - in comparison to other methods of investigation and opposite to 3-phase system is more difficult and seems less effective.},
	year = {2021},
	pages = {506-513},
	orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X}
}