IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i10p1571-d114563.html
   My bibliography  Save this article

Position and Speed Estimation of Permanent Magnet Machine Sensorless Drive at High Speed Using an Improved Phase-Locked Loop

Author

Listed:
  • Guan-Ren Chen

    (Department of Mechanical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • Shih-Chin Yang

    (Department of Mechanical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • Yu-Liang Hsu

    (Department of Automatic Control Engineering, Feng Chia University, No. 100 Wenhwa Road, Taichung 40724, Taiwan)

  • Kang Li

    (Department of Mechanical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

Abstract

In conventional position sensorless permanent magnet (PM) machine drives, the rotor position is obtained from the phase-locked loop (PLL) with the regulation of spatial signal in estimated back electromotive force (EMF) voltages. Due to the sinusoidal distribution of back-EMF voltages, a small-signal approximation is assumed in the PLL in order to estimate the position. That is, the estimated position is almost equal to the actual position per sample instant. However, at high speed when the ratio of sampling frequency, f sample , over the rotor operating frequency, f e , is low, this approximation might not be valid during the speed and load transient. To overcome this limitation, a position estimation is proposed specifically for the high-speed operation of a PM machine drive. A discrete-time EMF voltage estimator is developed to obtain the machine spatial signal. In addition, an arctangent calculation is cascaded to the PLL in order to remove this small-signal approximation for better sensorless drive performance. By using the discrete-time EMF estimation and modified PLL, the drive is able to maintain the speed closed-loop at 36 krpm with only 4.2 sampling points per electrical cycle on a PM machine, according to experimental results.

Suggested Citation

  • Guan-Ren Chen & Shih-Chin Yang & Yu-Liang Hsu & Kang Li, 2017. "Position and Speed Estimation of Permanent Magnet Machine Sensorless Drive at High Speed Using an Improved Phase-Locked Loop," Energies, MDPI, vol. 10(10), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1571-:d:114563
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/10/1571/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/10/1571/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dooyoung Yang & Hyungsoo Mok & Jusuk Lee & Soohee Han, 2017. "Adaptive Torque Estimation for an IPMSM with Cross-Coupling and Parameter Variations," Energies, MDPI, vol. 10(2), pages 1-13, January.
    2. Xuan Wu & Hui Wang & Shoudao Huang & Keyuan Huang & Li Wang, 2015. "Sensorless Speed Control with Initial Rotor Position Estimation for Surface Mounted Permanent Magnet Synchronous Motor Drive in Electric Vehicles," Energies, MDPI, vol. 8(10), pages 1-17, October.
    3. Hao Yan & Yongxiang Xu & Jibin Zou, 2016. "A Phase Current Reconstruction Approach for Three-Phase Permanent-Magnet Synchronous Motor Drive," Energies, MDPI, vol. 9(10), pages 1-16, October.
    4. Lisi Tian & Jin Zhao & Jiajiang Sun, 2016. "Sensorless Control of Interior Permanent Magnet Synchronous Motor in Low-Speed Region Using Novel Adaptive Filter," Energies, MDPI, vol. 9(12), pages 1-18, December.
    5. Tae-Uk Jung & Jung-Hoon Jang & Chang-Seok Park, 2017. "A Back-EMF Estimation Error Compensation Method for Accurate Rotor Position Estimation of Surface Mounted Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 10(8), pages 1-16, August.
    6. Younghoon Cho, 2016. "Improved Sensorless Control of Interior Permanent Magnet Sensorless Motors Using an Active Damping Control Strategy," Energies, MDPI, vol. 9(3), pages 1-15, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jongwon Choi & Kwanghee Nam, 2018. "Wound Synchronous Machine Sensorless Control Based on Signal Injection into the Rotor Winding," Energies, MDPI, vol. 11(12), pages 1-20, November.
    2. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    3. Qingsong Wang & Shuangxia Niu, 2018. "A Novel DC-Coil-Free Hybrid-Excited Machine with Consequent-Pole PM Rotor," Energies, MDPI, vol. 11(4), pages 1-16, March.
    4. Alessandro Benevieri & Lorenzo Carbone & Simone Cosso & Krishneel Kumar & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2022. "Surface Permanent Magnet Synchronous Motors’ Passive Sensorless Control: A Review," Energies, MDPI, vol. 15(20), pages 1-26, October.

    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. Shuo Chen & Xiao Zhang & Xiang Wu & Guojun Tan & Xianchao Chen, 2019. "Sensorless Control for IPMSM Based on Adaptive Super-Twisting Sliding-Mode Observer and Improved Phase-Locked Loop," Energies, MDPI, vol. 12(7), pages 1-19, March.
    2. Alessandro Benevieri & Lorenzo Carbone & Simone Cosso & Krishneel Kumar & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2022. "Surface Permanent Magnet Synchronous Motors’ Passive Sensorless Control: A Review," Energies, MDPI, vol. 15(20), pages 1-26, October.
    3. Jongwon Choi & Kwanghee Nam, 2018. "Wound Synchronous Machine Sensorless Control Based on Signal Injection into the Rotor Winding," Energies, MDPI, vol. 11(12), pages 1-20, November.
    4. Hao Yan & Yongxiang Xu & Jibin Zou, 2016. "A Phase Current Reconstruction Approach for Three-Phase Permanent-Magnet Synchronous Motor Drive," Energies, MDPI, vol. 9(10), pages 1-16, October.
    5. Yan Xu & Tingna Shi & Yan Yan & Xin Gu, 2019. "Dual-Vector Predictive Torque Control of Permanent Magnet Synchronous Motors Based on a Candidate Vector Table," Energies, MDPI, vol. 12(1), pages 1-15, January.
    6. Huynh Le Minh Thien & Nguyen Xuan Tien & Tran Thanh Vu & Ho Van Cuu, 2019. "Improved The Adaptation For Three Phase Active Filter Under Non-IdealLoad Using Sample Current Control," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(3), pages 76-80, April.
    7. Yiguang Chen & Bo Zhang, 2017. "Minimization of the Electromagnetic Torque Ripple Caused by the Coils Inter-Turn Short Circuit Fault in Dual-Redundancy Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 10(11), pages 1-23, November.
    8. Borzou Yousefi & Soodabeh Soleymani & Babak Mozafari & Seid Asghar Gholamian, 2017. "Speed Control of Matrix Converter-Fed Five-Phase Permanent Magnet Synchronous Motors under Unbalanced Voltages," Energies, MDPI, vol. 10(10), pages 1-21, September.
    9. Qinyue Zhu & Zhaoyang Li & Xitang Tan & Dabo Xie & Wei Dai, 2019. "Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer," Energies, MDPI, vol. 12(9), pages 1-20, May.
    10. Wei Chen & Jiaojiao Liang & Tingna Shi, 2018. "Speed Synchronous Control of Multiple Permanent Magnet Synchronous Motors Based on an Improved Cross-Coupling Structure," Energies, MDPI, vol. 11(2), pages 1-16, January.
    11. Zhen Tian & Chengning Zhang & Shuo Zhang, 2017. "Analytical Calculation of Magnetic Field Distribution and Stator Iron Losses for Surface-Mounted Permanent Magnet Synchronous Machines," Energies, MDPI, vol. 10(3), pages 1-12, March.
    12. Fulai Guo & Chengning Zhang, 2019. "Oil-Cooling Method of the Permanent Magnet Synchronous Motor for Electric Vehicle," Energies, MDPI, vol. 12(15), pages 1-11, August.
    13. Peixin Liang & Yulong Pei & Feng Chai & Kui Zhao, 2016. "Analytical Calculation of D - and Q -axis Inductance for Interior Permanent Magnet Motors Based on Winding Function Theory," Energies, MDPI, vol. 9(8), pages 1-11, July.
    14. Seok-Kyoon Kim, 2017. "Proportional-Type Performance Recovery DC-Link Voltage Tracking Algorithm for Permanent Magnet Synchronous Generators," Energies, MDPI, vol. 10(9), pages 1-17, September.
    15. Jyun-You Chen & Shih-Chin Yang & Kai-Hsiang Tu, 2018. "Comparative Evaluation of a Permanent Magnet Machine Saliency-Based Drive with Sine-Wave and Square-Wave Voltage Injection," Energies, MDPI, vol. 11(9), pages 1-15, August.
    16. Yiguang Chen & Xuemin Chen & Yonghuan Shen, 2018. "On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 11(3), pages 1-31, March.
    17. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    18. Faa-Jeng Lin & Yi-Hung Liao & Jyun-Ru Lin & Wei-Ting Lin, 2021. "Interior Permanent Magnet Synchronous Motor Drive System with Machine Learning-Based Maximum Torque per Ampere and Flux-Weakening Control," Energies, MDPI, vol. 14(2), pages 1-24, January.
    19. Ying Zhu & Ming Cheng & Haixiang Zang, 2017. "Sensorless Control for the EVT-Based New Dual Power Flow Wind Energy Conversion System," Energies, MDPI, vol. 10(7), pages 1-16, June.
    20. Chang-Hwan Park & Dong-Youn Kim & Han-Beom Yeom & Yung-Deug Son & Jang-Mok Kim, 2019. "A Current Reconstruction Strategy Following the Operation Area in a 1-Shunt Inverter System," Energies, MDPI, vol. 12(8), pages 1-16, April.

    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:10:y:2017:i:10:p:1571-:d:114563. 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.