한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제17권6호
  • /
  • Pages.1399-1408
  • /
  • 2013
  • /
  • 2234-4772(pISSN)
  • /
  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
권호 표지
DOI QR코드

DOI QR Code

T-S 퍼지를 사용한 유도전동기의 가중적분 H∞ 제어

Weighted Integral H∞ Control of Induction Motor using T-S fuzzy

  • 투고 : 2013.02.06
  • 심사 : 2013.05.31
  • 발행 : 2013.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 유도전동기의 제어에 있어서 성능향상을 위하여 가중치를 도입한 새로운 적분제어기법을 제안하여 $H_{\infty}$ T-S 퍼지제어기와 함께 사용하였다. $H_{\infty}$ T-S퍼지제어기는 유도전동기의 비선형성과 강인성을 위하여 사용되었고 가중치를 도입한 적분제어기는 추적문제를 조정기문제로 바꾸어 줌과 동시에 제어성능을 향상시키기 위해서 사용되었다. $H_{\infty}$ T-S퍼지제어기는 국부선형모델을 기반으로 구해지는 국부선형제어기 들의 선형결합으로 구성되며 각각의 국부 선형제어이득들은 LMI(Linear Matrix Inequlity)를 이용하여 계산된다. 본 논문에서는 가중치에 따라 결정되는 다양한 LMI해의 선택을 가능하게 함으로써 제어성능을 향상시켰다.

This paper proposes a new $H_{\infty}$ T-S fuzzy controller with a novel integral control for induction motors which have nonlinear dynamics. The $H_{\infty}$ T-S fuzzy controller is used for the nonlinearity and robustness and weighted integral is used for tracking problem and control performance. A T-S Fuzzy controller is the fuzzy combination of local linear controllers considering the overall stability, and LMI(Linear Matrix Inequlity) is used for determining the gains of linear controllers. The tracking problem of an induction motor is changed into regulator problem by introducing the integral control technique with weighting factor, diminishing the conservatism of $H_{\infty}$ T-S fuzzy controller.

키워드

참고문헌

  1. R J Wal, and L J Chang, "Decoupling and tracking control of induction motor drive," IEEE Transactions on aerospace and electronic systems., vol.38, pp.1357-1369, 2002. https://doi.org/10.1109/TAES.2002.1145756
  2. R Marino, S Peresada, and P Tomei, "Adaptive output feedback control of Current-Fed induction motors with uncertain rotor resistance and load torque," Automatica, vol.34, no.5, pp.617-24, 1998. https://doi.org/10.1016/S0005-1098(97)00212-4
  3. R Marino, S Peresada, and P Tomei, "Global adaptive output feedback control of inductions motors with uncertain rotor resistance," IEEE Transactions on Automatic control, vol.44, no.5, pp.967-983, 1993.
  4. E Prempaina, I Postlethwaitea, and A Benchaib, "A linear parameter variant $H{\infty}$ control design for an induction motor," Control Engineering Practice, vol.10, pp.633-644, 2002. https://doi.org/10.1016/S0967-0661(02)00024-2
  5. S Chiaverini, and G Fusco, "Bandwidth vs. gains design of $H_{\infty}$tracking controllers for currentsfedinduction motors," Automatica, vol.38, pp.1575-81, 2002. https://doi.org/10.1016/S0005-1098(02)00052-3
  6. S Cauet, L Rambault, O Bachelier, and D Mehdi, "Robust control and stability analysis of linearised system with parameter variation: Application to induction motor," Proceedings on the 40th IEEE Conference on decision and control. Orlando, florida USA, vol.3, pp.2645-2650, Dec. 2001.
  7. H Rehman, and R Dhaouadi, "A fuzzy learning-Sliding mode controller for direct field-oriented induction machinese," neurocomputing ,vol.71, pp.2693-2701, 2008. https://doi.org/10.1016/j.neucom.2007.08.037
  8. T Floquet, J P Barbot, and W Perruquetti, "Second order sliding mode control for induction motor," Proceedings of the 39". IEEE Conference on Decision and Control, Sydney, Australia, Dec. 2000.
  9. M Comanescu, L Xu, and T D Batzel, "Decoupled Current Control of Sensorless Induction-Motor Drives by Integral Sliding Mode," IEEE Transactions on industrial Electronics, vol.55, no.11, Nov. 2008.
  10. B S Chen, C S Tseng, and H J Uang, "Robustness design of non linear dynamic systems via fuzzy linear control," IEEE Transactions on fuzzy control, vol.7, no.5, Oct. 1999.
  11. T Kazuo, H Shigeki, and H O Wang, "Multiobjective control of a vehicle with triple trailers," IEEE Transactions on mechatronics, vol.7, no.3, Sept.2002.
  12. C Tseng, B S Chen, and H J Uang, "Fuzzy tracking control design for non linear dynamic system via TS fuzzy model," IEEE Transactions on fuzzy systems, vol.9, pp.381-392, 2001. https://doi.org/10.1109/91.928735
  13. T M Guerra, and J Lauber, "Control laws for Takagi-Sugeno fuzzy models," Fuzzysets and systems, vol.120, pp.95-108, 2001.
  14. C Lin, Q G Wang, and T H Lee, "$H_{\infty}$output tracking control for nonlinear via T-S fuzzy model approach," IEEE Transactions on Systems, Man and Cybernetics, vol.36, no.2, Apr. 2006.
  15. F Zheng, Q G Wang, and T H Lee, "Output Tracking Control of MIMO Fuzzy Nonlinear Systems Using Variable Structure Control Approach," IEEE Transactions on fuzzy systems, vol.10, no.6, Dec. 2002.
  16. T Taniguchi, K Tanaka, K Yamafuji, and H O Wang "A new PDC fuzzy reference models," Proceedings IEEE international fuzzy systems conference Korea, vol.2, pp.898-903, 2001.
  17. R Marino, P Tomei, and C M Verrelli, "A global tracking control for speed-sensorless inductions motors," Automatica, vol.40, pp.1071-1077, 2004. https://doi.org/10.1016/j.automatica.2004.01.022
  18. D Khiar, J Lauber, T Floquet, and T M Guerra, "Robust Takagi-Sugeno fuzzy control of a spark ignition engine," Control Engineering Practice, 2007.
  19. Bor-Sen Chen, Chung-Shi Tseng, and Huey- Jian, "Robustness design of nonlinear dynamic systems via fuzzy linear control," IEEE Transactions on fuzzy systems, vol.7, no.5, pp.571-585, 1999. https://doi.org/10.1109/91.797980