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This paper presents a multilevel zeta converter (MZC) for fuel cells, using a 1260W proton exchange membrane fuel cell (PEMFC) and a fuzzy logic controller (FLC) with voltage feedback. A MZC runs on a series of stages, each of which include switches, capacitors, diodes, and inductors. Typically, the control technique consists of switching sequences that enable a step-by-step The converter is planned and built utilizing MATLAB SIMULINK and a topological circuit, with an FLC controller configured to increase output voltage transient responsiveness. The results show enhanced performance of the MZC with FLC Controller, allowing for control of the time-varying non-linear nature of power converters. The fuzzy logic controller in view of this instance employs a Mamdani-style fuzzy logic controller. Finally, by exploiting the potential yield as feedback, they further noticeably enhanced the converter's dynamic accomplishment. The converter's performance is verified through MATLAB simulations, demonstrating fast transient response, excellent steady-state response, and less sensitivity to load fluctuations.

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A Fuel Cell Fed Multi Level Zeta Converter System with Fuzzy Logic Controller

  • 会议论文

  • 发表日期：

    2025年

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  • B. Manimekalai,
  • M. Marimuthu,
  • V. Prabhu,
  • G. Venkatesan,
  • B. Paranthagan,
  • S. KamalaKannan

摘要

This paper presents a multilevel zeta converter (MZC) for fuel cells, using a 1260W proton exchange membrane fuel cell (PEMFC) and a fuzzy logic controller (FLC) with voltage feedback. A MZC runs on a series of stages, each of which include switches, capacitors, diodes, and inductors. Typically, the control technique consists of switching sequences that enable a step-by-step The converter is planned and built utilizing MATLAB SIMULINK and a topological circuit, with an FLC controller configured to increase output voltage transient responsiveness. The results show enhanced performance of the MZC with FLC Controller, allowing for control of the time-varying non-linear nature of power converters. The fuzzy logic controller in view of this instance employs a Mamdani-style fuzzy logic controller. Finally, by exploiting the potential yield as feedback, they further noticeably enhanced the converter's dynamic accomplishment. The converter's performance is verified through MATLAB simulations, demonstrating fast transient response, excellent steady-state response, and less sensitivity to load fluctuations.