Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (6): 34-38.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Design and Application of On-line Neural Network-Based Adaptive Controller

Tang Chao-ying  Wang Biao   

  1. College of Automation Engineering,Nanjing Univ.of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China
  • Received:2005-09-02 Online:2006-06-25 Published:2006-06-25
  • Contact: 唐超颖(1979-),女,博士生,主要从事飞行器姿态控制、智能控制方面的研究 E-mail:cytang@nuaa.edu.cn
  • About author:唐超颖(1979-),女,博士生,主要从事飞行器姿态控制、智能控制方面的研究
  • Supported by:

    南京航空航天大学青年科研基金资助项目(1003-904704)

Abstract:

An on-line neural network.based adaptive controller is presented to solve the problem of weak adaptability of existing linear control systems.The network weights are regulated according to the error between the reference model and the plant.and the structural uncertainties and unknown disturbances are counteracted on line by the neural network.The proposed controller is then designed and simulated with the attitude control of a spacecraft as an example.The results indicate that the uncertainties are tracked and compensated on line by the neural network with high accuracy and the dynamic performan ce of the linear control system is considerably improved.

Key words: neural network, adaptive control, linear control, spacecraft attitude control