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<p>In this paper, a new Adaptive-Neuro-Fuzzy Inference System (ANFIS)-Finite Control Set Model Predictive Current Control (FCS-MPCC) hybrid technique is proposed for a three-level T-type inverter (3L-TI) fed-permanent Magnet Synchronous Motor (PMSM) drive. In the proposed system along with the improved hybrid ANFIS-MPCC technique, a 3L-TI is utilized to enhance the quality of power provided to the motor to upgrade the motor response and to eliminate the possibilities of deterioration of the motor due to high torque ripples, high noise vibration harshness (NVH), and less efficient control techniques. The proposed control technique is compared with the Proportional Integral (PI) controller-based vector control and conventional model predictive-current control (C-MPCC) techniques. The comparison is based on motor speed, torque performance, and the quality of the stator current of the motor. The proposed technique resulted in a notable reduction, including a 66% drop in torque oscillations, a 50% reduction in speed overshoots, and a 33% minimization of current harmonic distortion, in comparison to the conventional MPCC methodology. Simulation of the proposed system is done in MATLAB/SIMULINK environment and MATLAB results are validated experimentally by using dSPACE-1104 platform.</p>

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A New Hybrid ANFIS-MPCC Technique for Three-Level T-Type Inverter Driven PMSM Drive

  • 期刊论文

  • 发表日期：

    2025年7月22日

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  • Anchal Raghuwanshi,
  • Amit Ojha

摘要

In this paper, a new Adaptive-Neuro-Fuzzy Inference System (ANFIS)-Finite Control Set Model Predictive Current Control (FCS-MPCC) hybrid technique is proposed for a three-level T-type inverter (3L-TI) fed-permanent Magnet Synchronous Motor (PMSM) drive. In the proposed system along with the improved hybrid ANFIS-MPCC technique, a 3L-TI is utilized to enhance the quality of power provided to the motor to upgrade the motor response and to eliminate the possibilities of deterioration of the motor due to high torque ripples, high noise vibration harshness (NVH), and less efficient control techniques. The proposed control technique is compared with the Proportional Integral (PI) controller-based vector control and conventional model predictive-current control (C-MPCC) techniques. The comparison is based on motor speed, torque performance, and the quality of the stator current of the motor. The proposed technique resulted in a notable reduction, including a 66% drop in torque oscillations, a 50% reduction in speed overshoots, and a 33% minimization of current harmonic distortion, in comparison to the conventional MPCC methodology. Simulation of the proposed system is done in MATLAB/SIMULINK environment and MATLAB results are validated experimentally by using dSPACE-1104 platform.