Browse > Article
http://dx.doi.org/10.5139/JKSAS.2003.31.6.061

A Study on the Design of Fuzzy Controller for a Turbojet Engine Model and its Performance Enhancement through Satisfactory Multiple Objectives  

Han,Dong-Ju ((주)썬에어로시스 기술연구소)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.31, no.6, 2003 , pp. 61-71 More about this Journal
Abstract
In the study of control technique for a turbojet engine model, the Takagi-Sugeno fuzzy logic controller has been designed based on the model identification by the well designed PI controlled system through T-S neuro-fuzzy inference system. To enhance this designed controller, those procedures are proposed that certainty factors are adopted to each rule of objective groups which are classified by the fuzzy C-Means algorithm and the satisfaction degrees are matched to meet the objectives. This proposed technique shows its feasibility by upgrading performances of the previously well-designed T-S fuzzy controller.
Keywords
Turbojet Engine; T-S Fuzzy Logic; Satisfactory Multiple Objectives;
Citations & Related Records
연도 인용수 순위
  • Reference
1 부준홍외 4인, "DYABCD를 이용한 터보제트 엔진 선형모델의 특성," 한국항공우주학회지, Vol. 21, No. 1, pp. 81-90, 1993.
2 부준홍외 3인, "터보제트 엔진의 제어를 위한 Reduced Model의 거동특성," 한국항공우주학회지, Vol. 25, No. 5, pp. 46-54, 1997.
3 한문섭, 공창덕, "선형 시뮬레이터를 이용한 터보제트 엔진의 LQR 제어," 한국항공우주학회지, Vol. 23, No. 1, pp. 9-15, 1995.
4 한동주, 남세규, 김병교, "제트엔진의 예견퍼지슬라이딩 제어에 관한 연구," 한국자동제어학술회의 논문집, pp. 1068-1071, 1993.
5 Lim, T. S. and Bien, Z. N., "FLC Design for Multi-Objective Systems," Appl. Math, and Comp. Sci., vol.6, No.3, pp. 565-580, 1996.
6 Fairman, F. W., "Liner Control Theory," Wiley, 1998.
7 Roger, J., "ANFIS : Adaptive-Network-Based Fuzzy Inference System," IEEE Tr. on Systems, Man, and Cybernetics, vol.23, No.3, May 1993.
8 Dimiter, D., Hans, H. and Michael, R., "An Introduction to Fuzzy Control, Springer-Verlag," 1993.
9 Kelvin, M. P. and Stephen, Y., "Fuzzy Control," Addison-Wesley, pp. 74-78, 1998.
10 Yu, W. and Bien, Z. N., "Design of Fuzzy Logic Controller with Inconsistent Rule Base," J. Intelligent and Fuzzy Systems, Vol.2, No.2, pp. 147-159, 1994.
11 Chen, C. J., "Fuzzy Logic and Neural Network Handbook," McGraw-Hill, 1996.
12 MATLAB User's Guide, Fuzzy Logic Toolbox, Ver.2, 2001.
13 부준홍외 5인, "서지한계 설정을 이용한 터보제트 엔진의 연료유량 제어모사," 한국항공우주학회지, Vol. 25, No. 3, pp. 103-111, 1997.
14 William, H. P. and Athans, M., "Multi-variable Control of the GE T700 Engine Using LQR/LTR Design Methodology," NASA-CR-177080, June, 1986.
15 Sellers, J. F. and Daniele, C. J., "DYGEN A Program for Calculating Steady-State and Transient Performance of Turbojet and Turbofan Engines," NASA TN D-7901, April 1975.
16 Geyser, L. C, "DYABCD A Program for Calculating Linear A,B,C,D Matrices from a Nonlinear Dynamic Engine Simulation," NASA TP-1295, 1978.
17 Athans, M., "LQG/LTR Method for the F-100 Engine," IEEE, J. of Guidance and Control, Vol.9, No.1, pp. 45-52, Feb., 1986.   DOI   ScienceOn
18 Garg, S., "Turbofan Engine Control System Design Using LQG/LTR Methodology," NASA-CR-182303, June, 1989.
19 Song, O., Wilkie, J. and Grimble, M. J., "Robust Controller for Gas Turbines based upon LQG/LTR Design with Self-Tuning Features," J. of Dynamic Systems, Measurement and Control,' Vol. 115, pp. 569-591, Sept., 1993.   DOI   ScienceOn