• 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"
쳇봇 이모티콘
ScienceON 챗봇입니다.
궁금한 것은 저에게 물어봐주세요.

논문 상세정보

DC 전동기를 위한 PID 학습제어기

A PID learning controller for DC motors


With only the classical PID controller applied to control of a DC motor, good (target) performance characteristic of the controller can be obtained if all the model parameters of DC motor and operating conditions such as external load torque, disturbance, etc. are known exactly. However, in case when some of system parameters or operating conditions are uncertain or unknown, the fixed PID controller does not guarantee good performance, which is assumed with precisely known system parameters and operating conditions. In view of this and the robustness enhancement of DC motor control system, we propose a PID learning controller which consists of a set of learning rules for PID gain tuning and learning of an auxiliary input. The proposed PID learning controller is shown to drive the state of uncertain DC motor system with unknown system parameters and external load torque to the desired one world wide asymptotically. Computer simulation and experimental results are given to demonstrate the effectiveness of the proposed PID learning controller, thereby showing its superiority to the conventional fixed PID controller.

저자의 다른 논문

참고문헌 (20)

  1. A frequency response approach to auto-tuning of multivariable PID controllers , Q.-G. Wang;C.-C. Hang;B. Zou , Proceedings of IFAC 13th Triennial World congress / v.,pp.295-300, 1996
  2. A frequency domain approach to analysis and design of simple feedback loops , K. J. Astrom;T. Hagglund , Proceedings of the 23rd IEEE Conference on Decision and Control / v.,pp., 1984
  3. Fuzzy gain scheduling of PID controllers , Z.-Y. Zhao;M. Tomizuka;S. Isaka , IEEE Trans. Systems, Man, & Cybernetics / v.23,pp.1392-1398, 1993
  4. S. Sastry;M. Bodson , Adaptive Control Stability, Convergence, and Robustness / v.,pp., 1989
  5. Limit cycles in relay systems , D. P. Atherton , Electronic Letters / v.18,pp., 1982
  6. Self-tuning predictive PID controller , P. Vega;C. Prada;V. Aleixandre , IEEE Proceeding-D / v.138,pp.303-311, 1991
  7. A self-tuning PID controller fused artificial neural networks , T. Yamamoto;M. Kaneda;T. Oki , Proceedings of IFAC 13th Triennial World congress / v.,pp.127-132, 1996
  8. How to find controller setting from process characteristics , G. E. Coon , Control Eng / v.,pp.66-76, 1956
  9. An adaptive learning control of uncertain robotic systems , T. Y. Kuc;J. S. Lee , Proceedings of the IEEE Conference on Decision and Control / v.2,pp.1206-1211, 1991
  10. Intelligent tuning and adaptive control , K. J. Astrom , KACC Workshop / v.,pp.12-14, 1992
  11. J.-J. Slotine;W. Li , Applied Nonlinear Control / v.,pp., 1991
  12. A rule-based adaptive PID controller , K. L. Anderson , IEEE Control System Magazine / v.,pp.564-569, 1988
  13. A self-tuning controller , H. S. Hoopes;W. M. Hawk Jr.;R. C. Lewis , ISA Transactions / v.22,pp.49-58, 1983
  14. Industrial comparison of auto-tuned PID regulator and an adaptive predictive control systems(APCS) , J. M. Martin-Sanches;G. A. Dumont , Proceeding of the IFAC Workshop on Adaptive Control of Chemical Processes / v.,pp., 1985
  15. Automatic tuning of simple regulators with specifications on phase and amplitude margins , K. J. Astrom;T. Hagglund , Automatica / v.20,pp.645-651, 1984
  16. DC 전동기를 위한 PID학습 제어기 , 백승민;이동훈;국태용 , 96 한국자동제어학술회의 논문집 / v.1,pp.168-171, 1996
  17. Industrial adaptive controllers based on frequency response techniques , K. J. Astrom , Automatica / v.27,pp.599-609, 1991
  18. Optimum setting for automatic controllers , J. G. Ziegler;N. B. Nichols , Trans. ASME / v.64,pp.759-768, 1942
  19. Self-tuning PID controller uses pattern recognition approach , T. W. Kraus;T. J. Myron , Control Engineering / v.,pp.106-111, 1984
  20. Automatic tuning of simple regulators for phase and amplitude margins specifications , K. J. Astrom;T. Hagglund , Proceedings of the IFAC Workshop on Adaptive Systems in Control and Signal Processing / v.,pp., 1983

이 논문을 인용한 문헌 (2)

  1. Baek, Seung-Min ; Kim, Jin-Hong ; Kuc, Tae-Yong 1999. "Design of Current-Feedback Control for DC Motors" 전기학회논문지. The transactions of the Korean Institute of Electrical Engineers. A / A, 전력기술부문, 48(12): 1520~1526 
  2. Kim, Sang-Hoon ; Chung, In-Suk ; Kang, Young-Ho ; Nam, Moon-Hyon ; Kim, Lark-Kyo 2001. "Real-Time Control of DC Sevo Motor with Variable Load Using PID-Learning Controller" 전기학회논문지. The transactions of the Korean Institute of Electrical Engineers. D / D, 시스템 및 제어부문, 50(3): 107~113 


원문 PDF 다운로드

  • ScienceON :

원문 URL 링크

원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다. (원문복사서비스 안내 바로 가기)

상세조회 0건 원문조회 0건

DOI 인용 스타일