DOI QR코드

DOI QR Code

전력설비의 제어 응답특성 개선을 위한 퍼지 추론 기법의 적응조정

Improvement of Control Response Characteristics for Power Facility using the Adaptive Sizing of Fuzzy Inference Method

  • Lee, Hyun-Jae (Dept. of Electrical Engineering, Gachon University) ;
  • Kim, Dong-Eun (Dept. of Electrical Engineering, Gachon University) ;
  • Shon, Jin-Geun (Dept. of Electrical Engineering, Gachon University)
  • 투고 : 2018.08.29
  • 심사 : 2018.09.14
  • 발행 : 2018.12.01

초록

In this paper, proposed a method to improve of control characteristics for power facility using the adaptive sizing of fuzzy inference method. In the use of the controller based the fuzzy logic, a basic mamdani fuzzy controller is applied. However, when the maximum value and the minimum value have to taken, the fuzzy controller can not take a normal value because of formalized grouping form. In this paper, we combine the conventional methods with single valued sets to compensate for the disadvantage caused by the mamdani method control. Simulation results show that the proposed method has better overshoot and steady state arrival time than the conventional control method.

키워드

참고문헌

  1. A. G. A. Cruz, R. D. Gomes, F. A. Belo and A. C. Lima Filho, "A Hybrid System Based on Fuzzy Logic to Failure Diagnosis in Induction Motors", IEEE Latin America Transactions, Vol. 15, No. 8, AUG. 2017.
  2. Ashutosh Mishra, N. S. Rajput and Guangjie Han, "NDSRT: An Efficient Virtual Multi-Sensor Response Transformation for Classification of Gases/Odors", IEEE SENSORS JOURNAL, Vol. 17, No. 11, June 1, 2017
  3. Sonke Thomsen, Nils Hoffmann and Friedrich Wilhelm Fuchs, "PI Control, PI-Based State Space Control, and Model-Based Predictive Control for Drive Systems With Elastically Coupled Loads - A Comparative Study", IEEE Transactions on Industrial Electronics, Vol. 58, No. 8, August 2011.
  4. Yao Xu, Fangxing Li, Zhiqiang Jin and Maryam Hassani Variani, "Dynamic Gain-Tuning Control (DGTC) Approach for AGC With Effects of Wind Power", IEEE Transactions on Power Systems, Vol. 31, No. 5, SEPTEMBER 2016.
  5. M. C. Leiva and J. Rojas, "New Tuning Method for PI Controllers based on Pareto-Optimal Criterion with Robustness Constraint", IEEE Latin America Transactions, Vol. 13, No. 2, FEB. 2015.
  6. Shiqing Tang, Yize Sun, Yujie Chen, Yiman Zhao, Yunhu Yang, and Warren Szeto, "An Enhanced MPPT Method Combining Fractional-Order and Fuzzy Logic Control", IEEE Journal Of Photovoltaics, Vol. 7, No. 2, March 2017.
  7. Evangelos Rikos, Mazheruddin Syed, Chris Caerts, Michel Rezkalla, Mattia Marinelli, Graeme Burt, "Implementation of fuzzy logic for mitigating conflicts of frequency containment control", CIRED-Open Access Proceedings Journal, Vol. 2017, Issue: 1, 10 2017.
  8. Papadimitriou, C., Vovos, N.: "A fuzzy control scheme for integration of DGs into a microgrid," Proc. 15th IEEE Mediterranean Electrotechnical Conf., 2010, pp. 872-877.
  9. Liviu-Cristian Dutu, Gilles Mauris and Philippe Bolon, "A Fast and Accurate Rule-Base Generation Method for Mamdani Fuzzy Systems", IEEE Transactions on Fuzzy Systems, Vol. 26, No. 2, April 2018.
  10. Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, and Jie Lu, "Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models", IEEE Transactions on Fuzzy Systems, Vol. 25, No. 6, December 2017.