MESSAI.iO

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A novel nonlinear adaptive sliding mode control method is proposed to stabilize the output voltage of a single chamber single population microbial fuel cell in the presence of parametric uncertainties and nonlinear terms.

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What they did

System
MFC

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Abstract

The microbial fuel cell is one of the most important tools in the supply of renewable energy and its controller plays an important role in improving the performance and stability of its output. Using the advantages of adaptive and sliding mode methods, this paper presents a combined technique to ensure the stability and output voltage stabilization of the fuel cell in the presence of parametric uncertainties and nonlinear terms. The proposed control method is compared with classical control approaches and the simulation results confirm its efficiency.

Key findings

  • The proposed control method improves the stability and output voltage of the fuel cell compared to classical control approaches.
  • The method is able to handle parametric uncertainties and nonlinear terms effectively.
  • Simulation results confirm the efficiency of the proposed control method.

Keywords

Control theory (sociology)Nonlinear systemMicrobial fuel cellParametric statisticsSingle chamberController (irrigation)

Identifiers

DOI
10.14447/jnmes.v24i1.a03
Journal
Journal of New Materials for Electrochemical Systems
Year
2021