Original scientific paper
https://doi.org/10.1080/00051144.2024.2349869
Self-tuning speed and flow control of micro turbojet engines based on an improved evolutionary strategy
Q. Gao
; School of Energy and Power Engineering, Xihua University, Chengdu, People’s Republic of China
*
Jiahao Li
; School of Energy and Power Engineering, Xihua University, Chengdu, People’s Republic of China
Yuxin Zhang
; School of Energy and Power Engineering, Xihua University, Chengdu, People’s Republic of China
* Corresponding author.
Abstract
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
Micro turbojet engine; improved PID controller; improved evolutionary strategy
Hrčak ID:
326269
URI
Publication date:
13.5.2024.
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