An Experimental and Simulation Study of Load Matching in Class-E Inverters using Adaptive Neuro-Fuzzy Controller

Issi F., KAPLAN O.

Electric Power Components and Systems, cilt.51, sa.11, ss.1040-1050, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 51 Sayı: 11
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1080/15325008.2023.2189757
  • Dergi Adı: Electric Power Components and Systems
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Environment Index, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1040-1050
  • Anahtar Kelimeler: Class-E inverter, load matching, wireless power transfer
  • Gazi Üniversitesi Adresli: Evet

Özet

Class-E inverters used in wireless power transmission systems must be load compatible to ensure efficient and safe wireless power transmission. There are two different ways to match loads. The first can be supplied by varying the source voltage, and the second may be supplied by adjusting the capacitance in the resonant circuit. In the literature, the second strategy is the most well-liked and effective one. The distance between the coils in a wireless power transmission system affects the inverter load value. In this study, load compatibility in a wireless power transmission system using an E-class inverter is performed using a capacity array. For this purpose, an adaptive neuro fuzzy (ANFIS) model, in which the voltage and current values of the system is used as input, has been designed to determine the most appropriate capacity and to ensure load compatibility. The results of the simulation and experimental studies have shown that the load compatibility of the Class-E inverter can be achieved with precision when changes in the distance between the transceiver coils are taken into account.