연구동향 분석
박사

PSO를 이용한 터보팬 엔진 다목표 성능 최적화 및 동적모사에 관한 연구 = Multi-Objective Optimization and Dynamic Simulation of Turbofan Engine Performance Using Particle Swarm Optimization

최재원 2015년

논문상세정보
인용/피인용
' PSO를 이용한 터보팬 엔진 다목표 성능 최적화 및 동적모사에 관한 연구 = Multi-Objective Optimization and Dynamic Simulation of Turbofan Engine Performance Using Particle Swarm Optimization' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • net thrust
  • particle swarm optimization
  • specific fuel consumption
  • turbofan engine
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
140 0

0.0%

' PSO를 이용한 터보팬 엔진 다목표 성능 최적화 및 동적모사에 관한 연구 = Multi-Objective Optimization and Dynamic Simulation of Turbofan Engine Performance Using Particle Swarm Optimization' 의 참고문헌

  • “항공기용 가스터빈 엔진 기획연구보고서”
    최재원 국방기술품질원,DTaQ-12-3451-R, , pp. 14-18 [2012]
  • “항공기 개념 설계를 위한 가스터빈 엔진성능 모델 연구”, 한국항공우주학회
    유재호 이일우 정인면 최원 한국항공우주학회 춘계학술대회논문집, , pp. 293-296 [2010]
  • “파이로 작동기구의 성능해석 모델링과민감도 해석 연구,”
    성홍계 이효남 장승교 한두희 한국항공우주학회 학술발표회 논문집, ,pp.322-327 [2013]
  • “코어엔진 시제개발 및 성능평가 기획연구보고서”
    최재원 국방기술품질원, DTaQ-14-4090-R, , pp. 21-23 [2014]
  • “소형터보제트엔진 성능 모델링 및실용성능진단 연구,”
    고성희 공창덕 기자영 박광림 한국추진공학회 년도 춘계학술대회 논문집pp.828-831 [2013]
  • “분리 축 가스터빈엔진의 동역학적 천이효과에의한 부분부하성능 시험 및 해석에 관한 연구,”
    김경두 양수석 이원중 한국추진공학회년도 춘계학술대회 논문집, pp. 183-18895 [2003]
  • “다목적 소형 터보샤프트 엔진의 정상상태 성능해석 및동적거동 모사에 관한 연구,”
    공창덕 기자영 한국항공우주학회지, 제 27 권, 제 3 호, ,pp.119-126 [1999]
  • “국방녹색기술 수준조사”
    최재원 국방기술품질원, DTaQ-10-2241-R, ,pp. 190-196 [2010]
  • “Simulink 를 이용한 2-스풀 분리형 배기방식터보팬 엔진의 구성품 성능맵 생성 및 성능모사에 관한 연구,”
    강명철 공창덕 박광림 한국추진공학회지 제 17 권 제 1 호, , pp.70-79 [2013]
  • “PSO 를 이용한 중거리 비행체의 궤적 최적화”
    이진익 전인수 탁민제 한국항공우주학회 춘계학술발표회 논문집, , pp. 105-108 [2005]
  • “2-스풀 분리 배기 방식 터보팬 엔진의 성능모사 및진단프로그램 개발에 관한 연구,”
    강명철 조선대학교 학위논문 [2003]
  • Zhou, J., “Intelligent Fault Diagnosis with Application to Gas Turbine Engines,”Ph.D Thesis, The University of Sheffield, 1998
  • Zedda, M., “Gas Turbine Engine and Sensor Fault Diagnosis,” Ph.D. Thesis,Cranfield University, 200094
  • Z. L. Gaing, “A Particle Swarm Optimization Approach for Optimum Design ofPID Controller in ABVR System”, IEEE Trans. Energy Conversion, vol. 19, No. 2,2004, pp. 384-39
  • Won Choi, Ilwoo Lee, Junho Yang, “The Performance Modeling of a Low BypassTurbofan Engine with Afterburner for Supersonic Aircraft”, Journal of the KoreanSociety for Aeronautical & Space Sciences, Vol. 39, No. 3, 2011, pp. 269-278
  • Winston, H., et al, “Integrating Numeric and Symbolic Processing for Gas PathMaintenance,” AIAA-91-501, 1991
  • Wenhua Han, Ping Yang, “Comparison Study of Several Kinds of inertia Weightsfor PSO”, Progress in Informatics and Computing (PIC), IEEE InternationalConference, pp. 280-284, 2010
  • Weiping Zhang, Peifeng Niu, Guoqiang Li, Pengfei Li, “Forecasting of turbineheat rate with online least squares support vector machine based on gravitationalsearch algorithm”, Knowledge-Based Systems, 2013, pp. 34-44
  • Walsh, P.P., Fletcher, P., “Gas Turbine Performance,” Blackwell Science, 1998
  • Timothy R., Conners,, “Measurements Effects on the Calculation of In-FlightThrust for an F404 Turbofan Engine”, NASA Technical Memorandum 4140, 1989
  • T-50 장착 F404-GE-102 엔진비행중 추력 계산
    이부일 이상효 정인면 정주현 최태훈 한국항공우주학회 한국항공우주학회 년도추계학술대회 논문집, 2003.11, pp. 1026-1030Czitrom, Veronica, One-Factorat-a-Time versus Designed Experiments, Academic journal article from TheAmerican Statistician, Vol. 53, No. 2, 1999 [2003]
  • Seyed Ehsan Shakib, Majid Amidpour, Cyrus Aghanajafi, “Simulation andoptimization of multi effect desalination coupled to a gas turbine plant with HRSGconsideration”, Desalination, 2012, pp. 366-37691
  • Sangbok Lee, Taekyu Lim, Taesung Rho, “Design Optimization of LiquidRocket Engine Using Genetic Algorithms”, KSPE, Vol. 16, No. 2, 2005, pp. 25-33
  • R.C. Eberhart, Y. Shi, “Comparison Between Genetic Algoruthms and ParticleSwarm Optimization”, 7th Annual Conference on Evolutionary Programming,March, 1998
  • Paul T. Boggs. “Sequential Quadratic Programming”. Journal: Acta Numerica, vol.4, 1995
  • Patel, V.C, et al,”Utilising a Simulink Gas Turbine Engine Model for FaultDiagnosis,” Peprints of the IFAC Symposium on Control of Power Plants andPower Systems, Cancum, Mexico, 1995, pp171-176
  • P. Pilidis, “ICV 방법을 이용한 가스터빈 엔진 동적모델링에 관한 연구
    공창덕 김석균 ” 항공우주학회지, 제 28 권 Vol. 5, , pp.89-98 [2000]
  • Maurice Clerc, “Particle Swarm Optimization”, France Telecom, France February2006
  • M. Sadeghierad, A. Darabi, H. Lesani, H. Monsef, “Optimal design of thegenerator of microturbine using genetic algorithm and PSO”, Electrical Power andEnergy Systems, 2010, PP. 804-808
  • Kang, C. D., Lim, S., “Study on Fault Diagnostics of a Turboprop Engine UsingInverse Performance Model and Artificial Intelligent Methods,” Int. Journal ofTurbo & Jet-Engines, Vol. 28, No. 4, 2011, pp.255-333
  • KHALID, S. J., “Role of dynamic simulation in figher engine design anddevelopment,” Journal of Propulsion and Power Vol.8, No.1, 1992, pp.219-226
  • Juan J., “Particle Swarm Optimization Applications In Power SystemEngineering”, 2004
  • Joachim Kurzke, “Transient Simulations During Preliminary Conceptual EngineDesign”, International Society for Air Breathing Engines Conference, 201393
  • Jaewon Choi, Wonchul Chung, Hong-Gye Sung, “Performance Optimization of anAircraft Turbofan Gas Turbine Engine using Particle Swarm Optimization”, SASESpring Conference, 2014
  • Jaewon Choi, Wonchul Chung, Hong-Gye Sung, “Multi-Objective Optimization ofTurbofan Engine Performance Using Particle Swarm Optimization”, Journal of theKorean Society for Aeronautical and Space, Vol. 43, No. 4, 2015, pp. 326-333
  • Jaewon Choi, Hong-Gye Sung, “Performance Analysis of an Aircraft Gas TurbineEngine using Particle Swarm Optimization”, International Journal of Aeronauticaland Space Sciences, Vol. 15, No. 4, 2014, pp. 434-443
  • Jackson, A. J. B., “Aero Gas Turbine Windmiling, Relighting and Pull-Away: APosition Paper,”No. AJCR002, Rolls-Royce University Technology Centre inPerformance & Combustion Engineering, Cranfield Unversity, United Kingdom,1998
  • Jack D. Mattingley, Elements of Gas Turbine Propulsion, McGraw-Hill, 2005
  • J. Kennedy, R. Eberhart, 1995, Particle Swarm Optimization, Proceedings of IEEEInternational Conference on Neural Networks, vol. 4, pp. 1942-1948, 1995
  • J. Gilbert and J. Nocedal, “Global Convergence Properties of Conjugate GradientMethods for Optimization”. SIAM J. Opt.2 p 21-42 (1992).
  • Homaifar, A., Lai, H.Y and McCormick, E., “System optimization of turbofanengines using genetic algorithms”, Applied Mathematical Modelling, 1994, Vol.18, No. 2, pp.72-83
  • Diakunchak, I. S., “Performance Deterioration in Indiustrial Gas Turbines,”Journal of Engineering for Gas Turbines and Power, Vol. 114, No. 2, pp.161-167,1992
  • David E. Goldberg. “Genetic Algorithms in Search, Optimization, and MachineLearning”, Addison-Wesley 1989
  • David Bridges, “Thrust and Drag Models for Performance Calculations for High-Speed Aircraft”, 45th AIAA Aerospace Sciences Meeting and Exhbit, Reno,Nevada, Jan. 8-11, 2007
  • Atashkari, K., Nariman-Zadeh, N., Pilechi, A., Jamali, A. and Yao, X., “ThermodynamicPareto optimization of turbojet engines using multi-objective geneticalgorithms”, International Journal of Thermal Sciences, Vol. 44, No. 11, 2005, pp.14-24
  • Asako, T., Miyagawa, H., Miyata, S. and Kudo, K., “Conceptual design of aircraftengine using multidisciplinary design optimization technique”, 23rd Congress ofInternational Council of the Aeronautical Sciences, ICAS, 2002, Toronto, Canada.
  • Adamopoulos, D., “Handling and Transient Operation of a Military Turbofan,” MSThesis, Cranfield University, United Kingdom, 1996
  • A.P Engelbrecht, “Fundamentals of Computational Swarm Intelligence”, JohnWiley & Son, 200692
  • A. Corana, M. Marchesi, C. Martitni, and S. Ridella.“Minimizing MultimodalFunctions of Continuous Variables with the ‘Simulated Annealing’ Algorithm”,ACM Transactions on Mathematical Software, Vol. 13, No. 3, September 1987,Pages 262-280