Fractional order super-twisting sliding mode observer for sensorless control of induction motor

被引:23
|
作者
Ilten, Erdem [1 ]
Demirtas, Metin [1 ]
机构
[1] Balikesir Univ, Dept Elect & Elect Engn, Balikesir, Turkey
关键词
Fractional calculus; Sliding mode control; Observers; Induction motors; SPEED; DRIVE; OPTIMIZATION; POSITION; DESIGN; IMPLEMENTATION; STATOR;
D O I
10.1108/COMPEL-08-2018-0306
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose To meet the need of reducing the cost of industrial systems, sensorless control applications on electrical machines are increasing day by day. This paper aims to improve the performance of the sensorless induction motor control system. To do this, the speed observer is designed based on the combination of the sliding mode and the fractional order integral. Design/methodology/approach Super-twisting sliding mode (STSM) and Grunwald-Letnikov approach are used on the proposed observer. The stability of the proposed observer is verified by using Lyapunov method. Then, the observer coefficients are optimized for minimizing the steady-state error and chattering amplitude. The optimum coefficients (c(1), c(2), k(i) and ) are obtained by using response surface method. To verify the effectiveness of proposed observer, a large number of experiments are performed for different operation conditions, such as different speeds (500, 1,000 and 1,500 rpm) and loads (100 and 50 per cent loads). Parameter uncertainties (rotor inertia J and friction factor F) are tested to prove the robustness of the proposed method. All these operation conditions are applied for both proportional integral (PI) and fractional order STSM (FOSTSM) observers and their performances are compared. Findings The observer model is tested with optimum coefficients to validate the proposed observer effectiveness. At the beginning, the motor is started without load. When it reaches reference speed, the motor is loaded. Estimated speed and actual speed trends are compared. The results are presented in tables and figures. As a result, the FOSTSM observer has less steady-state error than the PI observer for all operation conditions. However, chattering amplitudes are lower in some operation conditions. In addition, the proposed observer shows more robustness against the parameter changes than the PI observer. Practical implications The proposed FOSTSM observer can be applied easily for industrial variable speed drive systems which are using induction motor to improve the performance and stability. Originality/value The robustness of the STSM and the memory-intensive structure of the fractional order integral are combined to form a robust and flexible observer. This paper grants the lower steady-state error and chattering amplitude for sensorless speed control of the induction motor in different speed and load operation conditions. In addition, the proposed observer shows high robustness against the parameter uncertainties.
引用
收藏
页码:878 / 892
页数:15
相关论文
共 50 条
  • [11] Induction motor sensorless vector control based on fractional order integral sliding mode observer
    Miao Z.-C.
    Dang J.-W.
    Ju M.
    Han T.-L.
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2018, 22 (05): : 84 - 93
  • [12] Sensorless control of induction motor based on proportional-integral linear super twisting sliding mode observer
    Zheng Z.
    Mao S.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (08): : 316 - 322
  • [13] MRAS-Super Twisting sliding Mode Observer for Speed Sensorless Vector Control of Induction Motor drive
    Kouriche, Lalia
    Messlem, Youcef
    PRZEGLAD ELEKTROTECHNICZNY, 2021, 97 (04): : 121 - 127
  • [14] Accelerated Adaptive Second Order Super-Twisting Sliding Mode Observer
    Lin, Cheng
    Sun, Shengxiong
    Walker, Paul
    Zhang, Nong
    IEEE ACCESS, 2019, 7 : 25232 - 25238
  • [15] Adaptive super-twisting sliding mode observer based robust backstepping sensorless speed control for IPMSM
    Wu, Shaofang
    Zhang, Jianwu
    Chai, Benben
    ISA TRANSACTIONS, 2019, 92 : 155 - 165
  • [16] Sensorless Control of IPMSM Based on Super-Twisting Sliding Mode Observer With CVGI Considering Flying Start
    Wang, Chenchen
    Gou, Lifeng
    Dong, Shifan
    Zhou, Minglei
    You, Xiaojie
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (02) : 2106 - 2117
  • [17] Super-twisting Sliding Mode Observer based Sensorless Control for TPFSI-Fed IPMSM Drives
    Sun, Jiajiang
    Zhao, Jin
    Song, Yujin
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 2861 - 2866
  • [18] Fuzzy adaptive super-twisting algorithm based sliding-mode observer for sensorless control of permanent magnet synchronous motor
    Wang, Yongwei
    Wu, Jingbo
    Guo, Zhijun
    Xie, Chengwei
    Liu, Junjie
    Jin, Xin
    Wang, Zhifu
    JOURNAL OF ENGINEERING-JOE, 2021, 2021 (12): : 788 - 799
  • [19] Active-Flux-Based Super-Twisting Sliding Mode Observer for Sensorless Vector Control of Synchronous Reluctance Motor Drives
    Liu, Yong-Chao
    Laghrouche, Salah
    N'Diaye, Abdoul
    Cirrincione, Maurizio
    2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2018, : 402 - 406
  • [20] Sensorless Control of PMSM With Improved Adaptive Super-Twisting Sliding Mode Observer and IST-QSG
    Wang, Deqiang
    Liu, Xudong
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2025, 11 (01): : 721 - 731