PD-Type-2 Fuzzy Neural Network Based Control of a Super-Lift Luo Converter Designed for Sustainable Future Energy Applications
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39774-5_62
Reference20 articles.
1. Ghasemi, F., Yazdani, M.R., Delshad, M.: Step-Up DC-DC switching converter with single switch and multi-outputs based on luo topology. IEEE Access 10, 16871–16882 (2022)
2. Chincholkar, S.H., Chan, C.Y.: Comparative study of current-mode controllers for the positive output elementary luo converter via state-space and frequency response approaches. IET Power Electron. 8(7), 1137–1145 (2015)
3. Kaliannan, P., Jyothi, N., Rangasamy, K.: Modeling and analysis of positive output luo converter in voltage control mode. Electrica 21(2), 259–271 (2021)
4. Kececioglu, O.F.: Design of type-2 fuzzy logic controller optimized with firefly algorithm for maximum power point tracking of photovoltaic system based on super lift luo converter. Int. J. Numer. Model. Electron. Networks Devices Fields 35(4), e2994 (2022)
5. Kececioglu, O.F.: Robust control of high gain DC-DC converter using type-2 fuzzy neural network controller for MPPT. J. Intell. Fuzzy Syst. 37(1), 941–951 (2019)
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1. Enhanced Control of Polymer Electrolyte Membrane Fuel Cell Fed Basic Series Positive Super Voltage Lift Luo Converter Using Interval Type-2 Fuzzy Logic;Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji;2024-06-29
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