Improvement of the induction motor sensorless control based on the type-2 fuzzy logic

被引:4
|
作者
Benlaloui, Idriss [1 ,2 ]
Chrifi-Alaoui, Larbi [3 ]
Ouriagli, Mohammed [4 ]
Khemis, Abderrahmane [2 ,5 ]
Khamari, Dalila [2 ]
Drid, Said [2 ]
机构
[1] Univ 8 Mai 1945, Guelma, Algeria
[2] Univ Batna2, Elect Engn Dept, LSPIE Lab, Fesdis, Algeria
[3] Univ Picardie Jules Verne, LTI, EA 3899, 13 Av F Mitterrand, F-02880 Cuffies, France
[4] Univ Sidi Mohamed Benabdellah, Lab Engn Sci LSI, Fes, Morocco
[5] Univ Khenchela, Ei Hamma, Algeria
关键词
Induction machines (IM); Model Reference Adaptive System (MRAS); Field-oriented control; Lyapunov Theory; Type-2 Fuzzy Logic Controller (T2FLC); FLUX ESTIMATION; VECTOR CONTROL; MRAS; TORQUE; RESISTANCE; ESTIMATOR;
D O I
10.1007/s00202-020-01178-1
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents MRAS speed sensorless control of induction motor using type-2 fuzzy logic controller (T2FLC). These controllers replace the PI ones, in the new MRAS strategy proposed in Benlaloui et al. (IEEE Trans Energy Convers 30(2):588-595, 2015), in order to improve the induction motor performances and robustness at low speed region. Indeed, the choice of these controllers is made because of their adaptation-based schemes which permit to handle nonlinear uncertain systems without the need of precise mathematical model required when using PI controllers. Comparative study had shown a better rejection of disturbance and high insensitivity to stator resistance compared to the PI and the T1FLC controllers. The effectiveness of the proposed speed-based T2FLC estimation method and its good robustness are validated by simulation and by experimental results.
引用
收藏
页码:1473 / 1482
页数:10
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