Development of Sliding Mode Control-Adaptive Neuro-Fuzzy Inference Strategy Algorithm for Three-Phase 15-Level MLI-Reference-Cited by-同舟云学术

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Development of Sliding Mode Control-Adaptive Neuro-Fuzzy Inference Strategy Algorithm for Three-Phase 15-Level MLI

Published:2024-02-23 Issue: Volume: Page:1-18
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Deepika Vinothini T.¹,Karthigaivel R.²,Barsana banu J.³

Affiliation:

1. Department of Electrical and Electronics Engineering, Velammal College of Engineering and Technology, NH85, Viraganur, Madurai, Tamil Nadu 625009, India

2. Department of Electrical and Electronics Engineering, PSNA College of Engineering and Technology, Kothandaraman Nagar, Dindigul, Tamil Nadu 624622, India

3. Department of Electrical and Electronics Engineering, SBM College of Engineering and Technology, Trichy Road -5, SBM Nagar, ThamaraiPadi, Dindigul, Tamil Nadu 624005, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2315203

Reference37 articles.

1. An efficient hybrid digital architecture for space vector PWM method for multilevel VSI

2. A Novel PWM Control Method for Hybrid-Clamped Multilevel Inverters

3. Comparison of Neutral-Point-Clamped, Symmetrical, and Hybrid Asymmetrical Multilevel Inverters

4. Harmonic analysis and FPGA implementation of SHE controlled three phase CHB 11-level inverter in MV drives using deterministic and stochastic optimization techniques

5. An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems

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