TY - CHAP AU - Bándy, Kristóf Gábor AU - Stumpf, Péter Pál TI - Quadratic Regression Model Based Predictive Control of PMSM Drives with Field Weakening Operation Capability Constrained to the Linear Modulation Range T2 - 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE) PB - IEEE CY - Piscataway (NJ) SN - 9798350399714 PY - 2023 SP - 1 EP - 6 PG - 6 DO - 10.1109/ISIE51358.2023.10228069 UR - https://m2.mtmt.hu/api/publication/34123152 ID - 34123152 N1 - Export Date: 6 October 2023 CODEN: 85PTA Correspondence Address: Bándy, K.; Budapest University of Technology and Economics, Megyetem rkp. 3., H-1111, Hungary; email: Bandy.Kristof@aut.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Stumpf, Péter Pál AU - Tóth-Katona, Tamás TI - Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art JF - ENERGIES J2 - ENERGIES VL - 16 PY - 2023 IS - 13 SP - 5103 SN - 1996-1073 DO - 10.3390/en16135103 UR - https://m2.mtmt.hu/api/publication/34044691 ID - 34044691 N1 - Export Date: 27 July 2023 Correspondence Address: Stumpf, P.; Department of Automation and Applied Informatics, Muegyetem Rkp. 3, Hungary; email: stumpf@aut.bme.hu AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Bertók, Zsanett AU - Budai, Csaba AU - Stumpf, Péter Pál ED - Barabás, István TI - Állandómágneses szinkrongépek paraméteridentifikációs algoritmusainak összehasonlítása T2 - OGÉT 2023 PB - Erdélyi Magyar Műszaki Tudományos Társaság Gépészeti Szakosztály C1 - Kolozsvár T3 - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267 ; 31. PY - 2023 SP - 29 EP - 34 PG - 6 UR - https://m2.mtmt.hu/api/publication/34008302 ID - 34008302 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Bándy, Kristóf Gábor AU - Stumpf, Péter Pál AU - CHOWDHURY, MD MOSHIUR AU - Sütő, Zoltán ED - Lorenz, Leo TI - Real-Time Validation of Quadratic Regression Model-Based Predictive Control of Grid-Side Converters T2 - 2023 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2023 PB - Mesago PCIM GmbH CY - Berlin SN - 9783800760916 T3 - PCIM Europe Conference Proceedings, ISSN 2191-3358 PY - 2023 SP - 2368 EP - 2375 PG - 8 DO - 10.30420/566091327 UR - https://m2.mtmt.hu/api/publication/33794709 ID - 33794709 AB - A quadratic regression model-based predictive control method is presented for grid-side converters. The control scheme calculates the cost function for seven voltage vectors of the inverter and extends it to the entire modulation region using regression. Then a constrained optimization problem must be solved to find the most feasible control action in this continuous control space. The found optimal voltage vector can be generated using Pulse-Width Modulation methods. The control method is validated in a custom Hardware-in-the-Loop environment using model-based rapid-prototyping tools of Matlab/Simulink. Measurement results show the viability of the method. © VDE VERLAG GMBH · Berlin · Offenbach. LA - English DB - MTMT ER - TY - CHAP AU - Bándy, Kristóf Gábor AU - Stumpf, Péter Pál ED - Maga, Dusan ED - Hajek, Jiri TI - Finite Set Model Predictive Control of PMSM drives with LC filter using dynamic weighting factor assignment T2 - 2022 20th International Conference on Mechatronics - Mechatronika (ME) PB - Ceské vysoké uceni technické v Praze (ČVUT) CY - Prague SN - 9781665410397 PY - 2022 SP - 313 EP - 319 PG - 7 DO - 10.1109/ME54704.2022.9982895 UR - https://m2.mtmt.hu/api/publication/33296782 ID - 33296782 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Bándy, Kristóf Gábor AU - Stumpf, Péter Pál TI - Quadratic Regression Model Based Indirect Model Predictive Control of AC Drives JF - IEEE TRANSACTIONS ON POWER ELECTRONICS J2 - IEEE T POWER ELECTR VL - 37 PY - 2022 IS - 11 SP - 13158 EP - 13177 PG - 20 SN - 0885-8993 DO - 10.1109/TPEL.2022.3181749 UR - https://m2.mtmt.hu/api/publication/32871842 ID - 32871842 N1 - Export Date: 3 August 2022 CODEN: ITPEE AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Bándy, Kristóf Gábor AU - Tóth-Katona, Tamás AU - Stumpf, Péter Pál TI - Synchronized MPTC Scheme for High Frequency PMSM Drives Using Dynamic Weighting Factor Calculation T2 - Proceedings of International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 2022) PB - VDE Verlag CY - Berlin SN - 9783800758227 PY - 2022 SP - 691 EP - 700 PG - 10 DO - 10.30420/565822095 UR - https://m2.mtmt.hu/api/publication/32838351 ID - 32838351 N1 - Export Date: 22 June 2022 Correspondence Address: Bándy, K.G.; Department of Automation and Applied Informatics, Műegyetem rkp. 3, Hungary; email: bandy.kristof@aut.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Bándy, Kristóf Gábor AU - Stumpf, Péter Pál TI - Torque Control of Induction Machines Using QRM-MPC Approach T2 - Proceedings of International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 2022) PB - VDE Verlag CY - Berlin SN - 9783800758227 PY - 2022 SP - 1555 EP - 1563 PG - 9 DO - 10.30420/565822215 UR - https://m2.mtmt.hu/api/publication/32838331 ID - 32838331 N1 - Export Date: 22 June 2022 Correspondence Address: Bándy, K.G.; Department of Automation and Applied Informatics, Műegyetem rkp. 3, Hungary; email: bandy.kristof@aut.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Hamar, János AU - Stumpf, Péter Pál TI - New Four-Channel Resonant Boost DC/DC Converter JF - IEEE ACCESS J2 - IEEE ACCESS VL - 9 PY - 2021 SP - 82335 EP - 82350 PG - 16 SN - 2169-3536 DO - 10.1109/ACCESS.2021.3086911 UR - https://m2.mtmt.hu/api/publication/32070242 ID - 32070242 N1 - Export Date: 14 July 2022 Correspondence Address: Hamar, J.; Department of Automation and Applied Informatics, Hungary; email: hamar@aut.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Stumpf, Péter Pál AU - Bándy, Kristóf Gábor AU - Halász, Sándor TI - Space Vector Based Investigation of Overmodulation Region of Inverter Fed Multiphase AC Drives T2 - 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) PB - IEEE CY - Piscataway (NJ) SN - 9781728156606 PY - 2021 SP - 506 EP - 513 PG - 8 DO - 10.1109/PEMC48073.2021.9432539 UR - https://m2.mtmt.hu/api/publication/32037517 ID - 32037517 N1 - IEEE Industrial Electronics Society (IES); IEEE Industry Applications Society (IAS); The Institute of Electrical and Electronics Engineers (IEEE) Budapest University of Technology and Economics, Dept. of Automation and Applied Informatics, Hungary Budapest University of Technology and Economics, Dept. of Electric Power Engineering, Hungary Conference code: 169114 Export Date: 16 June 2022 Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, FK 124913 Funding details: National Research, Development and Innovation Office Funding text 1: Research supported by the National Research, Development and Innovation Office (NKFIH) under the grant FK 124913. The research reported in this paper was supported by the BME NC TKP2020 grant of NKf Ih Hungary. AB - 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. LA - English DB - MTMT ER -