Enhanced direct torque control based on intelligent approach for doubly-fed induction machine fed by three-level inverter

  • 0Department of Electrical Engineering, LAAS Laboratory, National Polytechnic School of Oran- Maurice Audin, BP 1523 Oran El M'naouer, Algeria.

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Summary

This summary is machine-generated.

This study introduces an adaptive neuro-fuzzy inference system (ANFIS) for direct torque control (DTC) in doubly-fed induction machines. The ANFIS-based DTC significantly reduces torque and flux fluctuations and stator current harmonics.

Area Of Science

  • Electrical Engineering
  • Control Systems
  • Artificial Intelligence

Background

  • Doubly-fed induction machines (DFIMs) are crucial in variable-speed applications.
  • Traditional direct torque control (DTC) methods often suffer from torque and flux ripple, and harmonic distortion.
  • Improving the performance of DFIM drives requires advanced control strategies to mitigate these issues.

Purpose Of The Study

  • To develop and evaluate an adaptive neuro-fuzzy inference system (ANFIS) based 24-sector direct torque control (DTC) for DFIMs.
  • To minimize torque and flux fluctuations and stator current total harmonic distortion (THD) in DFIM drives.
  • To compare the performance of the proposed ANFIS-DTC approach against conventional DTC methods.

Main Methods

  • Implemented a 24-sector DTC strategy for a DFIM using a 3-level neutral point clamped inverter.
  • Replaced traditional hysteresis controllers for flux and torque with an ANFIS controller.
  • Utilized MATLAB simulations to test the proposed ANFIS-DTC and conventional DTC under various operating conditions.

Main Results

  • The ANFIS-based DTC significantly reduced stator current THD by up to 81.43%.
  • Torque undulation was decreased by up to 59.31% compared to conventional DTC.
  • Speed overshoot was minimized by up to 98.83%, demonstrating superior dynamic performance.

Conclusions

  • The proposed 24-sector DTC-ANFIS offers superior performance in minimizing torque and flux ripple and stator current THD for DFIM drives.
  • The ANFIS-based control strategy proves highly effective and efficient in enhancing DFIM drive characteristics.
  • This advanced control approach presents a promising solution for electrical applications requiring high-performance motor control.

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