Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지

A Design of Hight Controller of helicopter Using Improved Neural Network

개선된 신경망을 이용한 헬리콥터 고도 제어기 설계

  • 왕현민 (단국대학교 전자공학과) ;
  • 허경무 (단국대학교 전자공학과) ;
  • 우광준 (단국대학교 전자공학과)
  • Published : 2001.03.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose two design methods of neural networks controller for the height control of helicopter, one is the design of neural network controller having learning capability and the other is the design of more improved neural network controller. Through the simulation results, we show that the proposed controllers have controllers have enhanced control performance(rapid response, effectiveness and safety) than the typical neural networks controller in the height control of helicopter.

Keywords

References

  1. A. I. Galushik, 'Research of neuron computer technology in U. S. A', Zarubizynaya radio-electronicka, Moscow, 6. 1995
  2. McMahon D. C., 'A neural network trained to select aircraft maneuvers during air combat : A comparison of network and rule based perfermance', IJCNN-90, vol. 1, pp. 107-112, San Diego, Calif., 1990 https://doi.org/10.1109/IJCNN.1990.137554
  3. L. S. Vildgrube, 'Helicopter', Mashinastoenie, Moscow, 1977
  4. A. S. Braverman and A. P. Vaintpub, 'Dynamic of Helicopter', Mashinastoenie, Moscow, 1988
  5. M. I. Nisht and F. O. Ganiev, 'Aerodynamic characteristic on flying object', VVIA, 1988
  6. A. P. Batenko, 'Expertise of control system', Raido and Svyazi, Moscow, 1984
  7. V. A Bogner, 'Control system of flying object', Mashinastoenie, Moscow, 1973
  8. A. M. Shkvar and B. A. PoPov, 'Filtering of moving object in neural structure', Nero-obonika, Kiev, pp. 84-90, 1974
  9. Dan. W. Patterson, 'Introduction to artificial intelligence and expert system', Prentice-Hall, 1990