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Sensorless Control Based on Fuzzy Variable Coefficient Super Twisting Sliding Mode Observer
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Xueliang SUN  Student Member, CPSS1, Li ZHOU1, Yingao TIAN1, Mengya XUE2
Journal of Power Supply | 2026, 24(7) : 315 - 325
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Journal of Power Supply | 2026, 24(7): 315-325
• Motor Drives and Control •
Sensorless Control Based on Fuzzy Variable Coefficient Super Twisting Sliding Mode Observer
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Xueliang SUN  Student Member, CPSS1, Li ZHOU1, Yingao TIAN1, Mengya XUE2
Affiliations
  • 1.School of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China
  • 2.School of Intelligent Science and Engineering, Yantai Nanshan University, Yantai 265713, China
Published: 2026-07-30 doi: 10.13234/j.issn.2095-2805.2026.7.315
Outline
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Aiming at the problems of high-frequency jitter and phase delay caused by the use of constant sliding mode coefficients, sign functions, and low-pass filters in traditional super twisting sliding mode observer (STSMO), an improved STSMO based on fuzzy control is proposed. Firstly, fuzzy control is used to optimize the constant sliding mode coefficient. Secondly, a new type of continuous function T(s) is used instead of the sign function to reduce jitter, and an Kalman filter is introduced for secondary filtering to further improve the jitter reduction effect. Finally, an enhanced quadrature phase-locked loop (eQPLL) is used to replace the arctangent function to further improve the system and enhance observation accuracy. For time-varying nonlinear permanent magnet synchronous motor (PMSM) control systems, fractional order proportional integral derivative (FOPID) controller can more finely adjust the dynamic response of the system than traditional proportional integral derivative (PID) controller. Therefore, FOPID controller is used to replace the traditional motor speed loop proportional integral (PI) controller. Simulation and experimental results verify that the proposed improved control strategy effectively reduces overshoot, significantly improves the dynamic tracking performance of rotor position and speed, and the improved control system has stronger robustness.

Permanent magnet synchronous motor (PMSM)  /  sliding mode control  /  fuzzy control  /  Kalman filter  /  phase-locked loop
孙学良中国电源学会学生会员, 周立, 田迎澳, 薛孟娅. 基于模糊变系数超螺旋滑模观测器的无传感器控制. 电源学报, 2026 , 24 (7) : 315 -325 . DOI: 10.13234/j.issn.2095-2805.2026.7.315
Xueliang SUN, Li ZHOU, Yingao TIAN, Mengya XUE. Sensorless Control Based on Fuzzy Variable Coefficient Super Twisting Sliding Mode Observer[J]. Journal of Power Supply, 2026 , 24 (7) : 315 -325 . DOI: 10.13234/j.issn.2095-2805.2026.7.315
  • National Natural Science Foundation of China(51177067)
Year 2026 volume 24 Issue 7
40
8
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.7.315
  • Receive Date:2024-06-03
  • Online Date:2026-10-29
  • Published:2026-07-30
Article Data
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History
  • Received:2024-06-03
  • Revised:2024-09-02
  • Accepted:2024-09-20
Funding
National Natural Science Foundation of China(51177067)
Affiliations
    1.School of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China
    2.School of Intelligent Science and Engineering, Yantai Nanshan University, Yantai 265713, China
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表12种不同金属材料的力学参数
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Family
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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