IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i10p2554-d171961.html
   My bibliography  Save this article

Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems

Author

Listed:
  • Shun Li

    (College of Instrumentation Science and Optoelectronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)

  • Xinxiu Zhou

    (College of Instrumentation Science and Optoelectronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)

Abstract

A large number of permanent magnet synchronous motors (PMSMs) are used to drive coal conveyer belts in coal enterprises. Sensorless energy conservation control has important economic value for these enterprises. The key problem of sensorless energy conservation control for PMSMs is how to decompose the stator current through estimating the rotor position and speed accurately. Then a double closed loop control for stator current and speed is formed to make the stator current drive the motor as an entire torque current. In this paper, the proposed startup estimation algorithm can utilize the current model of PMSM as reference model to estimate the rotor speed and position in the startup stages. It is not dependent on the back electromotive force (EMF) which is used by the general estimation algorithm. However, the resistance will change with the temperature shift of stator windings, and these changes will cause the reference current model to be inaccurate and influence the rotor speed and position estimation precision. Thus, startup estimation algorithm switches to the proposed operation estimation algorithm which is based on the robust sliding mode theory and is not dependent on the motor parameters. The advantages of startup estimation algorithm and operation estimation algorithm are combined to form a hybrid observer. This hybrid observer realizes the accurate estimation of the rotor speed and position from start-up to operation. The stator current is precisely decomposed. The excitation current is controlled to 0. Meanwhile, the double closed-loop control of current and speed is achieved. The stator current is as entire torque current to drive motor. The closed-loop control, which is based on the proposed rotor position and speed estimation algorithm, achieve the most efficient conversion of electrical energy.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2554-:d:171961
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/10/2554/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/10/2554/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ming-Shyan Wang & Tse-Ming Tsai, 2017. "Sliding Mode and Neural Network Control of Sensorless PMSM Controlled System for Power Consumption and Performance Improvement," Energies, MDPI, vol. 10(11), pages 1-15, November.
    2. Chengming Zhang & Qingbo Guo & Liyi Li & Mingyi Wang & Tiecheng Wang, 2017. "System Efficiency Improvement for Electric Vehicles Adopting a Permanent Magnet Synchronous Motor Direct Drive System," Energies, MDPI, vol. 10(12), pages 1-27, December.
    3. Bum-Su Jun & Joon Sung Park & Jun-Hyuk Choi & Ki-Doek Lee & Chung-Yuen Won, 2018. "Temperature Estimation of Stator Winding in Permanent Magnet Synchronous Motors Using d -Axis Current Injection," Energies, MDPI, vol. 11(8), pages 1-14, August.
    4. Xing Liu & Jinhua Du & Deliang Liang, 2016. "Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 9(11), pages 1-15, November.
    5. Xin Qiu & Weiye Wang & Jianfei Yang & Jie Jiang & Jiquan Yang, 2017. "Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 10(12), pages 1-14, December.
    6. 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.
    7. Lei Yu & Youtong Zhang & Wenqing Huang, 2017. "Accurate and Efficient Torque Control of an Interior Permanent Magnet Synchronous Motor in Electric Vehicles Based on Hall-Effect Sensors," Energies, MDPI, vol. 10(3), pages 1-15, March.
    8. Zhaobin Cao & Weili Li & Xiaochen Zhang & Yu Fan & Jianjun Zeng, 2018. "Influence of Single/Dual Ventilation Path on Fluid Field and Temperature Field of HVLSSR-PMSM with Air-Cooled Hybrid Ventilation Systems," Energies, MDPI, vol. 11(6), pages 1-15, May.
    9. Jing Zhao & Zhongxin Gu & Bin Li & Xiangdong Liu & Xiaobei Li & Zhen Chen, 2015. "Research on the Torque and Back EMF Performance of a High Speed PMSM Used for Flywheel Energy Storage," Energies, MDPI, vol. 8(4), pages 1-22, April.
    10. Qiang Song & Yiting Li & Chao Jia, 2018. "A Novel Direct Torque Control Method Based on Asymmetric Boundary Layer Sliding Mode Control for PMSM," Energies, MDPI, vol. 11(3), pages 1-15, March.
    11. Yonghun Kim & Hyung-Tae Seo & Seok-Kyoon Kim & Kyung-Soo Kim, 2018. "A Robust Current Controller for Uncertain Permanent Magnet Synchronous Motors with a Performance Recovery Property for Electric Power Steering Applications," Energies, MDPI, vol. 11(5), pages 1-17, May.
    12. Jae-Hwan Song & Kyeong-Hwa Kim, 2018. "A Practical Approach to Localize Simultaneous Triple Open-Switches for a PWM Inverter-Fed Permanent Magnet Synchronous Machine Drive System," Energies, MDPI, vol. 11(1), pages 1-23, January.
    13. Jae Suk Lee, 2018. "Stability Analysis of Deadbeat-Direct Torque and Flux Control for Permanent Magnet Synchronous Motor Drives with Respect to Parameter Variations," Energies, MDPI, vol. 11(8), pages 1-18, August.
    14. Marcel Torrent & José Ignacio Perat & José Antonio Jiménez, 2018. "Permanent Magnet Synchronous Motor with Different Rotor Structures for Traction Motor in High Speed Trains," Energies, MDPI, vol. 11(6), pages 1-17, June.
    15. 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.
    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. 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. Peng Gao & Guangming Zhang & Xiaodong Lv, 2021. "Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives," Energies, MDPI, vol. 14(4), pages 1-15, February.
    3. Nuria Novas & Alfredo Alcayde & Isabel Robalo & Francisco Manzano-Agugliaro & Francisco G. Montoya, 2020. "Energies and Its Worldwide Research," Energies, MDPI, vol. 13(24), pages 1-41, December.

    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. Nikola Lopac & Neven Bulic & Niksa Vrkic, 2019. "Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators," Energies, MDPI, vol. 12(9), pages 1-22, April.
    2. 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.
    3. 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.
    4. Klemen Drobnič & Lovrenc Gašparin & Rastko Fišer, 2019. "Fast and Accurate Model of Interior Permanent-Magnet Machine for Dynamic Characterization," Energies, MDPI, vol. 12(5), pages 1-20, February.
    5. Andrzej Łebkowski, 2018. "Design, Analysis of the Location and Materials of Neodymium Magnets on the Torque and Power of In-Wheel External Rotor PMSM for Electric Vehicles," Energies, MDPI, vol. 11(9), pages 1-23, August.
    6. 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.
    7. 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.
    8. Minghan Ma & Yonggang Li & Yucai Wu & Chenchen Dong, 2018. "Multifield Calculation and Analysis of Excitation Winding Interturn Short Circuit Fault in Turbo-Generator," Energies, MDPI, vol. 11(10), pages 1-16, October.
    9. Jianfei Zhao & Minqi Hua & Tingzhang Liu, 2018. "Research on a Sliding Mode Vector Control System Based on Collaborative Optimization of an Axial Flux Permanent Magnet Synchronous Motor for an Electric Vehicle," Energies, MDPI, vol. 11(11), pages 1-16, November.
    10. Omar Sandre Hernandez & Jorge S. Cervantes-Rojas & Jesus P. Ordaz Oliver & Carlos Cuvas Castillo, 2021. "Stator Fixed Deadbeat Predictive Torque and Flux Control of a PMSM Drive with Modulated Duty Cycle," Energies, MDPI, vol. 14(10), pages 1-15, May.
    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. Zhenjie Gong & Xin Ba & Chengning Zhang & Youguang Guo, 2022. "Robust Sliding Mode Control of the Permanent Magnet Synchronous Motor with an Improved Power Reaching Law," Energies, MDPI, vol. 15(5), pages 1-13, March.
    13. In Hyuk Kim & Young Ik Son, 2020. "Design of a Low-Order Harmonic Disturbance Observer with Application to a DC Motor Position Control," Energies, MDPI, vol. 13(5), pages 1-17, February.
    14. Sandra Eriksson, 2019. "Permanent Magnet Synchronous Machines," Energies, MDPI, vol. 12(14), pages 1-5, July.
    15. Željko Plantić & Tine Marčič & Miloš Beković & Gorazd Štumberger, 2019. "Sensorless PMSM Drive Implementation by Introduction of Maximum Efficiency Characteristics in Reference Current Generation," Energies, MDPI, vol. 12(18), pages 1-14, September.
    16. Jemma J. Makrygiorgou & Antonio T. Alexandridis, 2019. "Power Electronic Control Design for Stable EV Motor and Battery Operation during a Route," Energies, MDPI, vol. 12(10), pages 1-21, May.
    17. Kang Wang & Ruituo Huai & Zhihao Yu & Xiaoyang Zhang & Fengjuan Li & Luwei Zhang, 2019. "Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives," Energies, MDPI, vol. 12(3), pages 1-13, February.
    18. Rui Xiong & Suleiman M. Sharkh & Xi Zhang, 2018. "Research Progress on Electric and Intelligent Vehicles," Energies, MDPI, vol. 11(7), pages 1-5, July.
    19. 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.
    20. Xiaofei Zhang & Hongbin Ma, 2019. "Data-Driven Model-Free Adaptive Control Based on Error Minimized Regularized Online Sequential Extreme Learning Machine," Energies, MDPI, vol. 12(17), pages 1-17, August.

    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:11:y:2018:i:10:p:2554-:d:171961. 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.