IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i2p459-d481407.html
   My bibliography  Save this article

Development of a Resolver-to-Digital Converter Based on Second-Order Difference Generalized Predictive Control

Author

Listed:
  • Thyago Estrabis

    (Graduation Program in Electrical Engineering, Federal University of Mato Grosso do Sul, Campo Grande, MS 79070-900, Brazil)

  • Gabriel Gentil

    (Graduation Program in Electrical Engineering, Federal University of Mato Grosso do Sul, Campo Grande, MS 79070-900, Brazil)

  • Raymundo Cordero

    (Graduation Program in Electrical Engineering, Federal University of Mato Grosso do Sul, Campo Grande, MS 79070-900, Brazil)

Abstract

High-performance motor drives that operate in harsh conditions require an accurate and robust angular position measurement to correctly estimate the speed and reduce the torque ripple produced by angular estimation error. For that reason, a resolver is used in motor drives as a position sensor due to its robustness. A resolver-to-digital converter (RDC) is an observer used to get the angular position from the resolver signals. Most RDCs are based on angle tracking observers (ATOs). On the other hand, generalized predictive control (GPC) has become a powerful tool in developing controllers and observers for industrial applications. However, no GPC-based RDC with zero steady-state error during constant speed operation has been proposed. This paper proposes an RDC based on the second-order difference GPC (SOD-GPC). In SOD-GPC, the second-order difference operator is applied to design a GPC model with two embedded integrators. Thus, the SOD-GPC is used to design a type-II ATO whose steady-state angle estimation error tends to zero during constant speed operation. Simulation and experimental results prove that the proposed RDC system has better performance than other literature approaches.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:459-:d:481407
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/2/459/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/2/459/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Christina Turley & Margarite Jacoby & Gregory Pavlak & Gregor Henze, 2020. "Development and Evaluation of Occupancy-Aware HVAC Control for Residential Building Energy Efficiency and Occupant Comfort," Energies, MDPI, vol. 13(20), pages 1-30, October.
    3. Nan Jin & Chao Pan & Yanyan Li & Shiyang Hu & Jie Fang, 2020. "Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current," Energies, MDPI, vol. 13(20), pages 1-16, October.
    4. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim & Huy Nguyen-Duc, 2018. "Direct Phase Angle and Voltage Amplitude Model Predictive Control of a Power Converter for Microgrid Applications," Energies, MDPI, vol. 11(9), pages 1-21, August.
    5. Pouria Bahramnia & Seyyed Mohammad Hosseini Rostami & Jin Wang & Gwang-jun Kim, 2019. "Modeling and Controlling of Temperature and Humidity in Building Heating, Ventilating, and Air Conditioning System Using Model Predictive Control," Energies, MDPI, vol. 12(24), pages 1-24, December.
    6. Tian-Hua Liu & Seerin Ahmad & Muhammad Syahril Mubarok & Jia-You Chen, 2020. "Simulation and Implementation of Predictive Speed Controller and Position Observer for Sensorless Synchronous Reluctance Motors," Energies, MDPI, vol. 13(11), pages 1-18, May.
    7. Konrad Prajwowski & Wawrzyniec Golebiewski & Maciej Lisowski & Karol F. Abramek & Dominik Galdynski, 2020. "Modeling of Working Machines Synergy in the Process of the Hybrid Electric Vehicle Acceleration," Energies, MDPI, vol. 13(21), pages 1-20, November.
    8. Daniel Wachowiak, 2020. "Genetic Algorithm Approach for Gains Selection of Induction Machine Extended Speed Observer," Energies, MDPI, vol. 13(18), pages 1-24, September.
    9. 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.
    10. Mohamed Abdelrahem & Christoph M. Hackl & José Rodríguez & Ralph Kennel, 2020. "Model Reference Adaptive System with Finite-Set for Encoderless Control of PMSGs in Micro-Grid Systems," Energies, MDPI, vol. 13(18), pages 1-15, September.
    11. Yubo Liu & Junlong Fang & Kezhu Tan & Boyan Huang & Wenshuai He, 2020. "Sliding Mode Observer with Adaptive Parameter Estimation for Sensorless Control of IPMSM," Energies, MDPI, vol. 13(22), pages 1-18, November.
    12. Myeong-Hwan Hwang & Hae-Sol Lee & Hyun-Rok Cha, 2018. "Analysis of Torque Ripple and Cogging Torque Reduction in Electric Vehicle Traction Platform Applying Rotor Notched Design," Energies, MDPI, vol. 11(11), pages 1-14, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Jaime A. Rohten & David N. Dewar & Pericle Zanchetta & Andrea Formentini & Javier A. Muñoz & Carlos R. Baier & José J. Silva, 2021. "Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency," Energies, MDPI, vol. 14(2), pages 1-16, January.
    3. 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.
    4. Sofiane Bacha & Ramzi Saadi & Mohamed Yacine Ayad & Mohamed Sahraoui & Khaled Laadjal & Antonio J. Marques Cardoso, 2023. "Autonomous Electric-Vehicle Control Using Speed Planning Algorithm and Back-Stepping Approach," Energies, MDPI, vol. 16(5), pages 1-26, March.
    5. Marwa Ben Slimene & Mohamed Arbi Khlifi, 2022. "Investigation on the Effects of Magnetic Saturation in Six-Phase Induction Machines with and without Cross Saturation of the Main Flux Path," Energies, MDPI, vol. 15(24), pages 1-18, December.
    6. Myroslav Kindrachuk & Dmytro Volchenko & Alexander Balitskii & Karol F. Abramek & Mykola Volchenko & Olexiy Balitskii & Vasyl Skrypnyk & Dmytro Zhuravlev & Alina Yurchuk & Valerii Kolesnikov, 2021. "Wear Resistance of Spark Ignition Engine Piston Rings in Hydrogen-Containing Environments," Energies, MDPI, vol. 14(16), pages 1-13, August.
    7. 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.
    8. João Inácio Da Silva Filho & Raphael Adamelk Bispo de Oliveira & Marcos Carneiro Rodrigues & Hyghor Miranda Côrtes & Alexandre Rocco & Mauricio Conceição Mario & Dorotéa Vilanova Garcia & Jair Minoro , 2023. "Predictive Controller Based on Paraconsistent Annotated Logic for Synchronous Generator Excitation Control," Energies, MDPI, vol. 16(4), pages 1-25, February.
    9. Ming-Fa Tsai & Chung-Shi Tseng & Po-Jen Cheng, 2021. "Implementation of an FPGA-Based Current Control and SVPWM ASIC with Asymmetric Five-Segment Switching Scheme for AC Motor Drives," Energies, MDPI, vol. 14(5), pages 1-23, March.
    10. 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.
    11. Claudiu-Ionel Nicola & Marcel Nicola, 2023. "Improved Performance for PMSM Sensorless Control Based on the LADRC Controller, ESO-Type Observer, DO-Type Observer, and RL-TD3 Agent," Mathematics, MDPI, vol. 11(15), pages 1-25, July.
    12. 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.
    13. Hyungkwan Jang & Hyunwoo Kim & Huai-Cong Liu & Ho-Joon Lee & Ju Lee, 2021. "Investigation on the Torque Ripple Reduction Method of a Hybrid Electric Vehicle Motor," Energies, MDPI, vol. 14(5), pages 1-13, March.
    14. Weidong Feng & Jing Bai & Zhiqiang Zhang & Jing Zhang, 2022. "A Composite Variable Structure PI Controller for Sensorless Speed Control Systems of IPMSM," Energies, MDPI, vol. 15(21), pages 1-18, November.
    15. Michał Michna & Filip Kutt & Łukasz Sienkiewicz & Roland Ryndzionek & Grzegorz Kostro & Dariusz Karkosiński & Bartłomiej Grochowski, 2020. "Mechanical-Level Hardware-In-The-Loop and Simulation in Validation Testing of Prototype Tower Crane Drives," Energies, MDPI, vol. 13(21), pages 1-25, November.
    16. Mohamed Abdelrahem & Christoph Hackl & Ralph Kennel & Jose Rodriguez, 2021. "Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    17. Tadeusz Białoń & Roman Niestrój & Jarosław Michalak & Marian Pasko, 2021. "Induction Motor PI Observer with Reduced-Order Integrating Unit," Energies, MDPI, vol. 14(16), pages 1-12, August.
    18. Mark B. Luther & Igor Martek & Mehdi Amirkhani & Gerhard Zucker, 2022. "Special Issue “Environmental Technology Applications in the Retrofitting of Residential Buildings”," Energies, MDPI, vol. 15(16), pages 1-4, August.
    19. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:459-:d:481407. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.