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Speed Control of Induction Motor by Means of Expert PLC in Variable load

가변부하시 전문가 PLC에 의한 유도전동기의 속도제어

  • 박왈서 (원광대학교 공대 전기전자 및 정보공학부) ;
  • 오훈 (익산대학 전기과)
  • Published : 2002.03.01

Abstract

PID Controller is widely used as automatic equipment for industry. However, when a system has various characters, parameter decision and tuning for accurate control is a hard task. In this paper, expert auto-tuning PID controller using PLC is presented as away of solving this problem. Expert auto tuning algorithm is based on Ziegler-Nichols step response and expert knowledge. The test of control performance is carried out in practical speed control of Induction Motor in variable load, the experimental results suggest its superior performance.

PID제어기는 산업자동화 설비에 널리 쓰이고 있다. 하지만 시스템 특성이 변화하면, 정밀제어를 위한 매개변수 결정과 동조가 쉽지 않다. 이를 해결하기 위한 방법으로 본 논문에서는 PLC를 사용한 전문가 자동동조 PID 제어기를 제안하였다. 전문가 자동동조 알고리즘은 Ziegler-Nichols의 계단응답법과 전문가 지식을 기초로 하였다. 제어의성능 실험은 가변부하시 유도모터 속도제어의 수행에 의하여 확인하였다.

Keywords

References

  1. J. G. Ziegler and N. B. Nichols, “Optimum setting for automatic controllers”. Trans. ASMC, Vol.64, pp. 759-768, 1942.
  2. G. E. Coon, “How to find controller setting from process characteristics”, control Eng, pp.66-76, 1956.
  3. K. J. Astrom and T. Hagglund, “Automatic tuning of simple regulators for phase and amplitude margins specification”, Proceedings of the IFAC workshop on Adaptive Systems in control and signal processing, 1983.
  4. K. J. Astrom and T. Hagglund, “Automatic tuning of simple regulators with specifications on phase and amplitude margins”, Automatical Vol.20, pp.645-651, 1984. https://doi.org/10.1016/0005-1098(84)90014-1
  5. K. L. Anderson, “A rule-based adaptive PID controller”, IEEE control system magazine, pp.564-569, 1988. https://doi.org/10.1109/CDC.1988.194374
  6. Z. Y. Zhao, M. Tomizuka and S. Tsaka, “Fuzzy gain scheduling of PID controllers”. IEEE Trans. Systems, Man, & Cybernetics, vol.23, No.5, pp.1392-1398, 1993. https://doi.org/10.1109/21.260670
  7. K. J. Astrom, “Intelligent tuning and adaptive control”, 1992, 10, pp.12-14, KACC workshop, Seoul, Korea.
  8. T. Yamamoto, M. Kaneda and T. Oki, “A self-tuning PID controller fused artificial neural network”, proceedings of IFAC 13th Triennial world congress, pp.127-132, 1996.