This paper proposes the finest design for controlling the speed of fuzzy PI-based 3-Φ induction drives interconnected with a multilevel space vector pulse-width modulated (PWM) controlled inverter in a doubly fed induction generator (DFIG) via a grid. Multilevel inverters are effective in reducing the harmonic content, with more levels resulting in an output that approaches a sine wave. Additionally, these inverters can reduce the voltage stress. Improved robust operation of the induction motor is achieved by simulation results using a fuzzy logic controller. Fuzzy logic is utilised to determine the best controller settings for 3-Φ induction motor speed regulation, which are fed by a multilevel space vector PWM controlled DFIG. The performance of the proposed closed-loop method is assessed and compared under various load scenarios and speeds. This integration employed the benefits of fuzzy logic and multilevel inverter configurations to enhance speed control performance.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Fuzzy-Based Speed Control of 3-Φ Induction Drive Fed from Multilevel Space Vector PWM Controlled DFIG

  • Vineet Kumar Tiwari,
  • Awadhesh Kumar,
  • Shekhar Yadav

摘要

This paper proposes the finest design for controlling the speed of fuzzy PI-based 3-Φ induction drives interconnected with a multilevel space vector pulse-width modulated (PWM) controlled inverter in a doubly fed induction generator (DFIG) via a grid. Multilevel inverters are effective in reducing the harmonic content, with more levels resulting in an output that approaches a sine wave. Additionally, these inverters can reduce the voltage stress. Improved robust operation of the induction motor is achieved by simulation results using a fuzzy logic controller. Fuzzy logic is utilised to determine the best controller settings for 3-Φ induction motor speed regulation, which are fed by a multilevel space vector PWM controlled DFIG. The performance of the proposed closed-loop method is assessed and compared under various load scenarios and speeds. This integration employed the benefits of fuzzy logic and multilevel inverter configurations to enhance speed control performance.