Adaptive Neuro-Fuzzy Inference System ( ANFIS ) Based Direct Torque Control of PMSM driven centrifugal pump

V.K. Arun Shankar, S. Umashankar, Sanjeevikumar Padmanaban, S. Paramasivam


This article presents Adaptive Neuro-Fuzzy Inference System based Direct Torque Control (ANFIS-DTC) for permanent magnet synchronous motor coupled to centrifugal pump. Direct Torque Control (DTC) is an inherent closed loop control with very less complexity, dynamic torque and speed response in comparison with the other vector control techniques. In variable torque applications like pumps when speed of motor varies, the load torque also varies correspondingly. To reduce the torque ripple and to improve the control further a new control algorithm named Adaptive Neuro-Fuzzy Inference System (ANFIS) is implemented along with DTC. In contrast with the conventional DTC and the Fuzzy logic based DTC, the proposed ANFIS based DTC has significantly reduced ripples in flux, torque and stator current. The results of the proposed ANFIS-DTC are validated through the Matlab simulations. The performance of the system is found satisfactory when it is tested with different speeds.

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Adaptive Neuro-Fuzzy Inference System (ANFIS); Centrifugal pump; Direct Torque Control (DTC); Permanent Magnet Synchronous Motor (PMSM); Variable Frequency Drives (VFD)

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