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Implementation and Experiment of Neural Network Controllers for Intelligent Control System Education

  • Lee, Geun-Hyeong (Intelligent Systems and Emotional Engineering(ISEE) Lab, BK21 Mechatronics Group, Chungnam National University) ;
  • Noh, Jin-Seok (Intelligent Systems and Emotional Engineering(ISEE) Lab, BK21 Mechatronics Group, Chungnam National University) ;
  • Jung, Seul (Intelligent Systems and Emotional Engineering(ISEE) Lab, BK21 Mechatronics Group, Chungnam National University)
  • 발행 : 2007.12.01

초록

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.

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참고문헌

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피인용 문헌

  1. Linear State Feedback Regulation of a Furuta Pendulum: Design Based on Differential Flatness and Root Locus vol.4, pp.2169-3536, 2016, https://doi.org/10.1109/ACCESS.2016.2637822