Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1996.07b
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- Pages.1034-1036
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- 1996
Auto-tunning of a FLC using Neural Networks
신경망을 이용한 서보제어기의 자동조정
- Yeon, Jae-Kuen (Dept. of Electrical Engineering, Donkook University) ;
- Yum, Jin-Ho (Seoil DSP) ;
- Nam, Hyun-Do (Dept. of Electrical Engineering, Donkook University)
- Published : 1996.07.22
Abstract
In this paper, an adaptive fuzzy logic controller is presented for auto-tunning of the scaling factors by using learning capability of neural networks. The proposed scheme consists of the FLC which includes the PI-type FLC and PD-type FLC in parallel form and the neural network which learns scale factors of FLC. Computer simulations were performed to illustrate the effectiveness of a proposed scheme. A proposed FLC controller was applied to the second order system and velocity control of the brushless DC motors. For the design of the FLC, tracking error, change of error, and acceleration error are selected as input variables of the FLC and three seal e factors were used in the parallel-type FLC. This scheme can be used to reduce the difficulty in the selection of the scale factors.
Keywords