Journal of the Korean Society for Aviation and Aeronautics (한국항공운항학회지)

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
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Turbojet Engine Control Using Artificial Neural Network PID Controller With High Gain Observer

고이득 관측기가 적용된 터보제트엔진의 인공신경망 PID 제어기 설계

  • 김대기 (한서대학교 대학원 항공전자공학과) ;
  • 지민석 (한서대학교 대학원 항공전자공학과)
  • Received : 2014.02.20
  • Accepted : 2014.03.19
  • Published : 2014.03.31
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Abstract

In this paper, controller propose to prevent compressor surge and improve the transient response of the fuel flow control system of turbojet engine. Turbojet engine controller is designed by applying Artificial Neural Network PID control algorithm and make an inference by applying Levenberg-Marquartdt Error Back Propagation Algorithm. Artificial Neural Network inference results are used as the fuel flow control inputs to prevent compressor surge and flame-out for turbojet engine for UAV. High Gain Observer is used to estimate to compressor rotation speed of turbojet engine. Using MATLAB to perform computer simulations verified the performance of the proposed controller. Response characteristics pursuant to the gain were analyzed by simulation.

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References

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