Application of Fuzzy Internal Model Control in Temperature Control in Hydrogen Production by Water Electrolysis

Abstract

[Introduction] In order to improve the problem of traditional proportion integration differentiation (PID) controllers overly relying on the mathematical model of the controlled object in the temperature control in hydrogen production by water electrolysis, this paper studies the application of fuzzy internal model control in the temperature control in hydrogen production by water electrolysis, and provides the design process of the fuzzy internal model controller. [Method] Firstly, the importance of temperature in the process of hydrogen production by water electrolysis was analyzed, and some temperature control strategies commonly used in hydrogen production by water electrolysis and their advantages and disadvantages were listed. Then, internal model control theory and fuzzy theory were introduced, and a design method for a fuzzy internal model temperature controller, which was used to achieve precise temperature control in hydrogen production by water electrolysis, was proposed based on these two theories. Finally, simulation verification experiments were conducted. [Result] The results show that the fuzzy internal model control method used in this paper has better control quality in response speed, anti-interference, and robustness compared to the PID control method, solving the problem of traditional PID controller algorithms overly relying on the mathematical model of the controlled object. [Conclusion] The control algorithms used in this paper are correct and effective, and can be applied to the temperature control in hydrogen production by water electrolysis.

Keywords

• hydrogen production by electrolysis of water
• temperature control
• fuzzy internal model control
• control quality
• robustness