Design of a robust hybrid fuzzy super-twisting speed controller for induction motor vector control systems
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Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer London Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper deals with a new design of a hybrid fuzzy super-twisting sliding mode controller (HFSTSMC) for a three-phase induction motor (IM) controlled by the rotor flux orientation technique. Super-twisting sliding mode control is employed as a potential solution to limit the inherent chattering effect in the conventional sliding mode control without affecting the tracking accuracy and robustness. The super-twisting sliding mode control (STSMC) scheme is a modified second-order sliding mode control (SOSMC) scheme that does not need the information of any derivative of the sliding surface, but the experimental control coefficients found in the control law have an obvious effect on limiting chattering and the system response speed. Therefore, a robust hybrid controller was proposed based on the fuzzy logic control (FLC) approach to optimally tuning these coefficients. Whereas, the fuzzy logic controller is used as a supervisory controller to adjust the value of the gains according to the state of the system. Thus, providing high dynamic performance and achieving the highest rates of robustness in transient and uncertain conditions. On the other hand, increasing tracking accuracy and chattering phenomena reduction in steady states. The validation of the suggested scheme is verified by experimental approximating of simulations using MATLAB/SIMULINK and also compared with conventional and advanced controllers. The obtained results confirm the reduction of the chattering phenomenon and thus reduction of the total harmonic distortion (THD) in the motor current, and the effectiveness of the proposed scheme in various operating conditions.
Açıklama
Anahtar Kelimeler
Hybrid fuzzy super-twisting sliding mode controller (HFSTSMC); Second-order sliding mode control (SOSMC); Sliding mode control; Fuzzy logic control (FLC); Indirect Field-Oriented Control (IFOC); Induction motor
Kaynak
Neural Computing & Applications
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
34
Sayı
22
