Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Hardware Implementation of an Intelligent Controller with a DSP and an FPGA for Nonlinear Systems

DSP와 FPGA를 이용한 지능 제어기의 하드웨어 구현

  • 김성수 (충남대학교 메카트로닉스공학과)
  • Published : 2004.10.01
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Abstract

In this paper, we develop control hardware such as an FPGA based general purposed intelligent controller with a DSP board to solve nonlinear system control problems. PID control algorithms are implemented in an FPGA and neural network control algorithms are implemented in a BSP board. An FPGA was programmed with VHDL to achieve high performance and flexibility. The additional hardware such as an encoder counter and a PWM generator can be implemented in a single FPGA device. As a result, the noise and power dissipation problems can be minimized and the cost effectiveness can be achieved. To show the performance of the developed controller, it was tested fur nonlinear systems such as a robot hand and an inverted pendulum.

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References

  1. 김성수, 정슬, 'FPGA를 이용한 범용 모션 컴트롤러의 개발', 제어.자동화.시스템공학 논문지, 제10권 1호 pp.73-80, 2004
  2. H. T. Cho and S. Jung, 'Balancing and position control of an inverted pendulum on an X-V Plane using decentralized neural networks', Proceedings of the 2003 International Conference on Advanced Intelligent Mechatronics, pp. 181-186, 2003
  3. M. Krips, T. Lammert, A. Kummert, 'FPGA implementation of a neural network for a real-time hand tracking system', Proceedings of the First IEEE International Workshop on Electronic Design, Test and Applications, pp. 313 317, 2002 https://doi.org/10.1109/DELTA.2002.994637
  4. M. Cristea, J. Khor, M. McCormick; 'FPGA fuzzy logic controller for variable speed generators', Proceedings of the 2001 IEEE International Conference on Control Applications, pp. 301 304, 2001 https://doi.org/10.1109/CCA.2001.973881
  5. A. K. Oudjida et al, 'A reconfigurable counter controller for digital motion control application', Microelectronics Journal, vol. 28, no. 6-7,1997 https://doi.org/10.1016/S0026-2692(97)00009-8
  6. F. Thomas et al, 'Design and implementation of a wheel speed measurement circuit using field programmable gate arrays in a spacecraft', Microprocessors and Microsystems, pp. 553-560, 1999 https://doi.org/10.1016/S0141-9331(98)00092-1
  7. Oh et al, 'Design of a biped robot using DSP and FPGA', Proceeding 2002 FIRA Robot World Congress. 698-701
  8. A. Kongmunvattana, P. Chongstivatana, 'A FPGA-based behavioral control system for a mobile robot', The 1998 IEEE Asia-Pacific Conference on Circuits and Systems, pp. 759-762, 24-27, Nov, 1998 https://doi.org/10.1109/APCCAS.1998.743932
  9. 'LM628/LM629 precision motion controller', National Semiconductor Corporation, Nov, 1999
  10. S. lung and T. C. Hsia, 'Neural network inverse control techniques for PD controlled robot manipulator', ROBOTICA, pp. 305-314, vol. 19, no 3, 2000 https://doi.org/10.1017/S0263574799002064
  11. W. T. Miller, R. S. Sutton, and P. J. Werbos, 'Neural networks for control', The MIT Press, 1991
  12. H.- T. Cho and S. Jung, 'Neural network position tracking control of an inverted pendulum by an X-V table robot', IEEE/RSJ International Conference on Intelligent Robots and System, pp. 1210 - 1215, 2003 https://doi.org/10.1109/IROS.2003.1248810