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All Journal International Journal of Applied Power Engineering (IJAPE)
Bindu, Abbaraju Hima
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Electrical & Electronics Engineering

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ANFIS-based optimisation for achieving the maximum torque per ampere in induction motor drive with conventional PI Rao, Gurrala Madhusudhana; Karthik, Mamidala Vijay; Kumar, Annavarapu Ananda; Kumar, Chava Sunil; Parameshwar, Tummeti; Bindu, Abbaraju Hima
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i2.pp320-327

Abstract

This research presents an innovative approach to controlling the speed of an induction motor drive by utilizing a combination of neural networks and fuzzy inference systems (ANFIS). The study focuses on computing the rotor's magnetic flux while considering different overshoot and settling criteria for torque and motor speed. The goal is to optimize torque per ampere and generate the necessary torque. The proposed ANFIS-based torque-per-ampere control technique offers a distinctive method applicable to a static induction motor model. This method allows for an increase in stator current while maintaining flexibility and individuality in motor control strategies. It compares various motor vector control methods, specifically focusing on strategies to reduce torque ripple. These strategies include adaptive ANFIS, fuzzy logic control (FLC), and proportional-integral (PI) control. The research highlights the effectiveness of an adaptive ANFIS controller in achieving the most significant reduction in torque ripple within the induction motor system. This proposed problem identification sets the stage for exploring and developing solutions to enhance the performance and efficiency of induction motor drives.
Co-Authors Karthik, Mamidala Vijay Kumar, Annavarapu Ananda Kumar, Chava Sunil Parameshwar, Tummeti Rao, Gurrala Madhusudhana