Automatika (Jul 2024)

Self-tuning speed and flow control of micro turbojet engines based on an improved evolutionary strategy

  • Q. Gao,
  • Jiahao Li,
  • Yuxin Zhang

DOI
https://doi.org/10.1080/00051144.2024.2349869
Journal volume & issue
Vol. 65, no. 3
pp. 1154 – 1162

Abstract

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At present, the controllable parameters of micro turbojet engines in engineering applications are mainly speed-fuel flow (hereinafter referred to as flow) control, in which closed-loop proportional–integral–derivative (PID) control is mostly used to achieve a stable control of engine speed under slow engine conditions. For the optimal adjustment of PID parameters, this paper designs an improved evolutionary strategy for the self-tuning of control parameters in the engine speed and flow control system and formulates an improved PI controller based on a neural network. The simulation experimental results show that the method can realistically achieve stable and fast control of the engine under above slow conditions.

Keywords