High Frequency Injection Based Rotor Position Self-Sensing for Synchronous Electrostatic Machines

被引:0
|
作者
Ghule, Aditya N. [1 ]
Killeen, Peter [1 ]
Ludois, Daniel C. [1 ]
机构
[1] Univ Wisconsin Madison, Dept Elect & Comp Engn, WEMPEC, Madison, WI 53706 USA
关键词
Electrostatic machines; self-sensing; high frequency injection; current source inverter; servos; SIGNAL-INJECTION; SENSORLESS; DRIVE;
D O I
10.1109/ecce.2019.8912520
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The low loss during high torque, low speed operation demonstrated by synchronous electrostatic machines make them an attractive choice for low speed servo applications. The high pole count (p >50) of these machines necessitates the use of high resolution position sensors. This work proposes methods of rotor position self-sensing for separately excited synchronous electrostatic machines to reduce cost and complexity associated with using an external encoder. A high-frequency injection based self-sensing method, which takes advantage of the separate excitation of the machine is proposed for estimating rotor position at zero and low speeds. The performance of the proposed estimation method is experimentally verified using a current source inverter driving the electrostatic machine. Closed loop speed control without encoder feedback is demonstrated. A compensation technique to mitigate the effect of filter delays is implemented to improve estimation accuracy at higher fundamental frequencies.
引用
收藏
页码:804 / 811
页数:8
相关论文
共 50 条
  • [1] Measurement of the Self-Sensing Capability of Synchronous Machines for High Frequency Signal Injection Sensorless Drives
    Berto, Matteo
    Alberti, Luigi
    Bolognani, Silverio
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2023, 59 (03) : 3381 - 3389
  • [2] Rotor position self-sensing of a sensorless permanent synchronous motor based on fluctuating high-frequency voltage signal injection and Kalman filter
    School of Mechanical and Engineering, University of Science and Technology Beijing, Beijing 100083, China
    Beijing Keji Daxue Xuebao, 2008, 7 (815-819):
  • [3] Computation of Self-Sensing Capabilities of Synchronous Machines for Rotating High Frequency Voltage Injection Sensorless Control
    Berto, Matteo
    Alberti, Luigi
    Manzolini, Virginia
    Bolognani, Silverio
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (04) : 3324 - 3333
  • [4] The Rotor Position Self-sensing of Permanent Magnet Synchronous Motor
    Zhou, Xiaomin
    Wang, Changsong
    Qi, Xin
    PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS, VOLS 1 AND 2, 2009, : 619 - 624
  • [5] On the Rotor Position Self-Sensing Capability of Reluctance and IPM Synchronous Motors
    Manzolini, Virginia
    Bolognani, Silverio
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (04) : 3755 - 3766
  • [6] On the Rotor Position Self-sensing Capability of IPM and Reluctance Synchronous Motors
    Manzolini, Virginia
    Bolognani, Silverio
    2018 IEEE 9TH INTERNATIONAL SYMPOSIUM ON SENSORLESS CONTROL FOR ELECTRICAL DRIVES (SLED 2018), 2018, : 108 - 113
  • [7] Saliency-Based Rotor Spatial Position Displacement Self-Sensing for Self-Bearing Machines
    Kang, Ye Gu
    Fernandez, Daniel
    Reigosa, David Diaz
    SENSORS, 2022, 22 (24)
  • [8] Secondary Resistive Losses With High-Frequency Injection-Based Self-Sensing in IPM Machines
    Limsuwan, Natee
    Kato, Takashi
    Yu, Chen-Yen
    Tamura, Jun
    Diaz Reigosa, David
    Akatsu, Kan
    Lorenz, Robert D.
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2013, 49 (04) : 1499 - 1507
  • [9] Secondary Resistive Losses with High-frequency Injection-based Self-sensing in IPM Machines
    Limsuwan, Natee
    Kato, Takashi
    Yu, Chen-Yen
    Tamura, Jun
    Reigosa, David
    Akatsu, Kan
    Lorenz, Robert D.
    2011 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2011, : 622 - 629
  • [10] Position Self-Sensing Evaluation of a FI-IPMSM based on High Frequency Signal Injection Methods
    Yu, Chen-Yen
    Tamura, Jun
    Reigosa, David
    Lorenz, Robert D.
    2011 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2011, : 3029 - 3036