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Dynamic Performance Improvement of Doubly Fed Induction Motor Based on Hybrid Computational Technique and Variable Structure Control
Author(s) -
Mohamed Yazid Zidani
Publication year - 2021
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v6i3.123
Subject(s) - control theory (sociology) , decoupling (probability) , variable structure control , sliding mode control , robustness (evolution) , induction motor , nonlinear system , torque , robust control , fuzzy logic , control engineering , fuzzy control system , computer science , control system , engineering , control (management) , physics , voltage , biochemistry , chemistry , electrical engineering , artificial intelligence , quantum mechanics , gene , thermodynamics
The sliding mode control (SMC) methodology based on the theory of variable structure systems has been widely used for robust control of nonlinear systems. Nevertheless, this type of control has an essential inconvenience, which is the chattering phenomenon caused by the discontinuous control part. In order to reduce the effects of the chattering phenomenon, second order sliding mode (SOSM) seems to be a very attractive solution. To eliminate the remains of chattering phenomenon, a new control scheme based on fuzzy second order sliding mode control (FSOSMC) is proposed in this paper. This fuzzy second order sliding mode controller is destined to the speed control of doubly fed induction motor (DFIM) which is based on the decoupling control to enhance robustness under different operating conditions such as load torque and in the presence of parameters variation. The simulation results for various scenarios show the performances of the proposed control in terms of, precision, rapidity and stability for the high powers DFIM operating at variable speeds.

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