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Implementation and Experiment of Neural Network Controllers for Intelligent Control System Education
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  • Implementation and Experiment of Neural Network Controllers for Intelligent Control System Education
  • Implementation and Experiment of Neural Network Controllers for Intelligent Control System Education
저자명
Lee. Geun-Hyeong,Noh. Jin-Seok,Jung. Seul
간행물명
International journal of fuzzy logic and intelligent systems
권/호정보
2007년|7권 4호|pp.267-273 (7 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

This paper presents the implementation of an educational kit for intelligent system control education. Neural network control algorithms are presented and control hardware is embedded to control the inverted pendulum system. The RBF network and the MLP network are implemented and embedded on the DSP 2812 chip and other necessary functions are embedded on an FPGA chip. Experimental studies are conducted to compare performances of two neural control methods. The intelligent control educational kit(ICEK) is implemented with the inverted pendulum system whose movements of the cart is limited by space. Experimental results show that the neural controllers can manage to control both the angle and the position of the inverted pendulum systems within a limited distance. Performances of the RCT and the FEL control method are compared as well.