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Research Article Open Access
The research paper involves based on Function Torque Adapted Gain Fuzzy Inference System (FTAGFIS) adaptive speed controller for the Permanent Magnet Synchronous Motor (PMSM). The proposed research area controller was developed using Adaptive Neuro Fuzzy Inference System (ANFIS). The expanded version of the FIS not only suggests the effectiveness of using the ANFIS to develop an adaptive speed controller for drives but also the effectiveness of the methodology that was employed to train the FIS. The results are under development using Adaptive control algorithm. Previous paper presents tracking and recovery performance from motor parameter variations, load torque and speed disturbances, which indicates the ability of the PMSM to self- adapt itself to different operating conditions here our paper involves the efficiency and reduced mechanical parameters and disturbances. .
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Author(s): S.Sathish Kumar, Dr.R.Meenakumari, P.Ravikumar, A.Anicks Salamon, L.Anbarasu
PMSM, Adaptive Speed Controller, Fuzzy Logic Control, Aerospace Engineering,Applied Electronics,Applied Sciences,Biochemistry,Biogenetic Engineering,Biomedical Engineering,Botany.