제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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- Pages.195-200
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- 1994
Adaptive control with neural network for a magnetic levitation system
- Hao, Shuang-Hui (Department of Electrical Engineering, Kyushu Institute of Technology) ;
- Yang, Zi-Jiang (Department of Electrical Engineering, Kyushu Institute of Technology) ;
- Tsuji, Teruo (Department of Electrical Engineering, Kyushu Institute of Technology)
- 발행 : 1994.10.01
초록
This paper presents a nonlinear adaptive control approach to a 4-point attraction magnetic levitation system using the local coordinates transformation and neural network. Based on local coordinates transformations, the magnetic levitation system can be represented in a state magnetic levitation system can be represented in a state space from of a 4-input 4-output. Neural networks which are defined in the new coordinates are used to learn the nonlinear functions of the system which are defined in the new coordinats also. The parameters of the neural networks are updated in an on-line manner according to an augmented tracking error. The simulation results are reported in this paper.
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