Abstract

The stability of the system may be impacted by the significant problem of the rise of nonlinear load. Deep neuro Fuzzy logic control is used to solve the difficult problem of controller parameter tuning and to demonstrate the system's stability using Clarke's stability function, and for optimizing sensing harmonic source this study use FFT lag-1 to reduce harmonics source. The research study will concentrate on an enhanced current technique that uses a fuzzy interface in conjunction with an HAPF (Hybrid Active Power Filter) and is applied to combination linear load with non-linear load. Finally, a comparison of two more methods is made the latter approach outperforms the standard active power filter. These other methods include a hybrid filter with Deep Neuro Fuzzy Logic. The same model was simulated in IEEE std-519-1992 under both perfect and distorted supply conditions, and it was found that the latter configuration yielded better results than the former.

Original languageEnglish
Title of host publication2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages220-224
Number of pages5
ISBN (Electronic)9798350309225
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Lombok, Indonesia
Duration: 14 Nov 202315 Nov 2023

Publication series

Name2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

Conference

Conference2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Country/TerritoryIndonesia
CityLombok
Period14/11/2315/11/23

Keywords

  • Deep Neuro Fuzzy Logic
  • FFT lag-1
  • HAPF
  • Harmonic source
  • Stability

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