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Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control

Author

Listed:
  • Fengxiang Wang

    (Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academic of Science, Quanzhou 362200, China)

  • Zhenbin Zhang

    (Key Lab of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 250061, China
    Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich (TUM), 80333 München, Germany)

  • Xuezhu Mei

    (Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academic of Science, Quanzhou 362200, China
    Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich (TUM), 80333 München, Germany)

  • José Rodríguez

    (Faculty of Engineering, Universidad Andrés Bello, 8370146 Santiago, Chile)

  • Ralph Kennel

    (Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich (TUM), 80333 München, Germany)

Abstract

Field oriented control (FOC), direct torque control (DTC) and finite set model predictive control (FS-MPC) are different strategies for high performance electrical drive systems. FOC uses linear controllers and pulse width modulation (PWM) to control the fundamental components of the load voltages. On the other hand, DTC and FS-MPC are nonlinear strategies that generate directly the voltage vectors in the absence of a modulator. This paper presents all three methods starting from theoretic operating principles, control structures and implementation. Experimental assessment is performed to discuss their advantages and limitations in detail. As main conclusions of this work, it is affirmed that different strategies have their own merits and all meet the requirements of modern high performance drives.

Suggested Citation

  • Fengxiang Wang & Zhenbin Zhang & Xuezhu Mei & José Rodríguez & Ralph Kennel, 2018. "Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control," Energies, MDPI, vol. 11(1), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:120-:d:125333
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    2. Camila Paes Salomon & Wilson Cesar Sant’Ana & Germano Lambert-Torres & Luiz Eduardo Borges da Silva & Erik Leandro Bonaldi & Levy Ely de Lacerda De Oliveira, 2018. "Comparison among Methods for Induction Motor Low-Intrusive Efficiency Evaluation Including a New AGT Approach with a Modified Stator Resistance," Energies, MDPI, vol. 11(4), pages 1-21, March.
    3. Ahmed G. Mahmoud A. Aziz & Almoataz Y. Abdelaziz & Ziad M. Ali & Ahmed A. Zaki Diab, 2023. "A Comprehensive Examination of Vector-Controlled Induction Motor Drive Techniques," Energies, MDPI, vol. 16(6), pages 1-32, March.
    4. Chaymae Fahassa & Yassine Zahraoui & Mohammed Akherraz & Mohammed Kharrich & Ehab E. Elattar & Salah Kamel, 2022. "Induction Motor DTC Performance Improvement by Inserting Fuzzy Logic Controllers and Twelve-Sector Neural Network Switching Table," Mathematics, MDPI, vol. 10(9), pages 1-14, April.
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    8. Karol Wróbel & Piotr Serkies & Krzysztof Szabat, 2020. "Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches," Energies, MDPI, vol. 13(5), pages 1-15, March.
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    11. Zhanqing Zhou & Xin Gu & Zhiqiang Wang & Guozheng Zhang & Qiang Geng, 2019. "An Improved Torque Control Strategy of PMSM Drive Considering On-Line MTPA Operation," Energies, MDPI, vol. 12(15), pages 1-17, July.
    12. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    13. Thyago Estrabis & Gabriel Gentil & Raymundo Cordero, 2021. "Development of a Resolver-to-Digital Converter Based on Second-Order Difference Generalized Predictive Control," Energies, MDPI, vol. 14(2), pages 1-22, January.
    14. Yanis Hamoudi & Hocine Amimeur & Djamal Aouzellag & Maher G. M. Abdolrasol & Taha Selim Ustun, 2023. "Hyperparameter Bayesian Optimization of Gaussian Process Regression Applied in Speed-Sensorless Predictive Torque Control of an Autonomous Wind Energy Conversion System," Energies, MDPI, vol. 16(12), pages 1-19, June.
    15. Ondrej Lipcak & Filip Baum & Jan Bauer, 2021. "Influence of Selected Non-Ideal Aspects on Active and Reactive Power MRAS for Stator and Rotor Resistance Estimation," Energies, MDPI, vol. 14(20), pages 1-19, October.
    16. Alessandro Benevieri & Gianmarco Maragliano & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2021. "Induction Motor Direct Torque Control with Synchronous PWM," Energies, MDPI, vol. 14(16), pages 1-17, August.
    17. Farya Golesorkhie & Fuwen Yang & Ljubo Vlacic & Geoff Tansley, 2020. "Field Oriented Control-Based Reduction of the Vibration and Power Consumption of a Blood Pump," Energies, MDPI, vol. 13(15), pages 1-18, July.
    18. Kodkin Vladimir & Anikin Alexander, 2021. "On the Physical Nature of Frequency Control Problems of Induction Motor Drives," Energies, MDPI, vol. 14(14), pages 1-15, July.
    19. Pedro Gonçalves & Sérgio Cruz & André Mendes, 2019. "Finite Control Set Model Predictive Control of Six-Phase Asymmetrical Machines—An Overview," Energies, MDPI, vol. 12(24), pages 1-42, December.
    20. Tadeusz Białoń & Marian Pasko & Roman Niestrój, 2020. "Developing Induction Motor State Observers with Increased Robustness," Energies, MDPI, vol. 13(20), pages 1-24, October.
    21. Cheng-Kai Lin & Jen-te Yu & Hao-Qun Huang & Jyun-Ting Wang & Hsing-Cheng Yu & Yen-Shin Lai, 2018. "A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems," Energies, MDPI, vol. 11(7), pages 1-29, July.
    22. Pavel Karlovsky & Jiri Lettl, 2018. "Induction Motor Drive Direct Torque Control and Predictive Torque Control Comparison Based on Switching Pattern Analysis," Energies, MDPI, vol. 11(7), pages 1-14, July.
    23. Haixia Li & Jican Lin & Ziguang Lu, 2019. "Three Vectors Model Predictive Torque Control Without Weighting Factor Based on Electromagnetic Torque Feedback Compensation," Energies, MDPI, vol. 12(7), pages 1-19, April.

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