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Marine Three-Shaft Intercooled-Cycle Gas Turbine Engine Transient Thermodynamic Simulation

Volume 14, Number 10, October 2018, pp. 2289-2301
DOI: 10.23940/ijpe.18.10.p5.22892301

Jingchao Lia,b, Guoyin Zhanga, Yulong Yingc,Wanying Shid, and Dongyuan Bib

aSchool of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China
bSchool of Electronic and Information, Shanghai Dianji University, Shanghai, 201306, China
cSchool of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, 200090, China
dThe School of Business, Portland State University, Oregon, 97207, USA

(Submitted on May 19, 2018; Revised on July 14, 2018; Accepted on August 17, 2018)


Advanced high-power gas turbine is the main research and development direction of future ship power. Three-shaft intercooled-cycle gas turbine engines as the prime mover for marine integrated electric propulsion system have been extensively used in the Chinese navy, and their dynamic performance has attracted many investigators’ attention. This paper extends current research on further improving three-shaft intercooled-cycle gas turbine engine operational performance. Firstly, on the basis of Matlab/Simulink software platform, a nonlinear three-shaft intercooled-cycle gas turbine engine thermodynamic model is set up to simulate the engine dynamic performance. Its power/free turbine shaft speed should be kept constant so as to obtain good dynamic performance control quality for the engine generation set. Under transient loading or unloading operating mode, the power/free turbine shaft speed easily deviates from the nominal value due to operational requirements of increasing or reducing power. In view of the phenomenon that the power turbine is prone to overspeed during the sudden load shedding process, the control strategy of the intercooled-cycle gas turbine power generation module is studied. A dual-mode switching control using fuzzy adaptive PID controller and PI controller and a joint control scheme of high-pressure compressor blow-off controlling are proposed. This provides a control strategy for the actual use of the marine intercooled-cycle three-shaft gas turbine integrated electric propulsion system in the future.


References: 22

                1. A. Soundarrajan and S. Sumathi, “Fuzzy-based Intelligent Controller for Power Generating Systems,” Vibration and Control, Vol. 17, No. 8, pp. 1265-1278, 2011
                2. A. Visioli, “Tuning of PID Controllers with Fuzzy Logic,” in Proceeding of the IEEE International Conference on Control Theory and Applications, Vol. 4, No. 1, pp. 1-8, 2001
                3. C. H. Liang, “The Technical Characteristics of Marine Intercooled and Recuperated Cycle Gas Turbine WR-21,” the Aircraft Engine, Vol. 1, pp. 1-8, 2006
                4. J. M. Apsley and A. C. Smith, “PropulsionDrive Models for Full Electric Marine PropulsionSystems,” IEEE Transactions on Industry Applications, Vol. 45, No. 2, pp. 1-8, 2009
                5. J. M. Tourniera and M. S. El-Genk, “Axial Flow, Multi-Stage Turbine and Compressor Models,” Energy Conversion and Management, Vol. 51, pp. 16-29, 2010
                6. J. C. Li and Y. L. Ying, “A Method to Improve the Robustness of Gas Turbine Gas-Path Fault Diagnosis Against Sensor Faults,” IEEE Transactions on Reliability, Vol. 67, No. 1, pp. 3-12, March 2018
                7. L. X. Qin, C. S. Cha, and J. Z. Xu, “The Vessel Integrated Electric Propulsion System Development and Application,” Marine Science and Technology, Vol. 31, No. 5, pp. 42-45, 2009
                8. J. C. Li, G. Y. Zhang, and Y. L. Ying, “Gas Turbine Gas Path Fault Diagnosis based on Adaptive Nonlinear Steady-State Thermodynamic Model,” International Journal of Performability Engineering, Vol. 14, No. 4, pp. 751-764, April 2018
                9. J. Nanda and A. Mangla, “Automatic Generation Control of an Interconnected Hydro-Thermal System Usingconventional Integral and Fuzzy Logic Controller,” in Proceedings of IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, pp. 372-379, Hong Kong, April 2004
                10. K. K. Ahn and D. Q. Truong, “Online Tuning Fuzzy PID Controller using Robust Extendedkalman Filter,” Journal of Process Control, Vol. 19, No. 6, pp. 1011-1023, 2009
                11. K. L. Karnavas and D. P. Papadopoulos, “AGC for Autonomous Power System using Combined Intelligent Techniques,” Electric Power System Research, Vol. 62, pp. 225-239, 2002
                12. L. N. R. McCallum, A. Green, and S. C. Mason, “Electric Start Systems for Gas Turbines-A Means to Self Sustainability,” in Proceedings of PAC, pp. 1-8, Sydney, Australia, February 2004
                13. M. Santos and A. L. Dexter, “Control of a Cryogenic Process using a Fuzzy PID Scheduler,” Control Engineering Practice, Vol. 10, No. 10, pp. 1147-1152, 2002
                14. P. Mitra, S. Maulik, and S. P. Chowdhury, “ANFIS based Automatic Voltage Regulator with Hybridlearning Algorithm,” International Journal of Innovationsin Energy Systems and Power, Vol. 3, No. 2, pp. 1-39, 2008
                15. J. Guo, Z. J. Li, and J. H. Jin, “System Reliability Assessment With Multilevel Information using the Bayesian Melding Method,” Reliability Engineering & System Safety, Vol. 170, pp. 146-158, 2018
                16. J. Guo, Z. J. Li, and W. D. Wang, “Reliability and Availability Measure And Assessment Of Multistage Production Systems,” in Proceedings of Reliability and Maintainability Symposium (RAMS), pp. 1-6, January 2017
                17. S. B. Shepard, “Design and Development of the WR-21 Intercooled and Recuperated(ICR)Marine Gas Turbine,” Journal of Engineering for Gas Turbines and Power, Vol. 117, pp. 557-561, 1995
                18. W. D. Chang and J. J. Yan, “Adaptive Robust PID Controller Design based on a Slidingmode for Uncertain Chaotic Systems,” Chaos Solitons Fractals, Vol. 26, No.1, pp. 167-175, 2005
                19. W. D. Chang, R. C. Hwang, and J. G. Hsieh, “A Self-Tuning PID Control for a Class of Nonlinearsystems based on the Lyapunov Approach,” Journal of Process Control, Vol. 12, No. 2, pp. 233-242, 2002
                20. W. T. Ma, Y. W. Liu, and M. Su, “Multi-Stage Axial Flow Compressors Characteristics Estimation based on System Identification,” Energy Conversion and Management, Vol. 49, No. 2, pp. 143-150, 2008
                21. Y. L. Ying, Y. P. Cao, and S. Y. Li, “Research on Fuel Supply Rate of Marine Intercooled-Cycle Engine based on Simulation Experiment,” International Journal of Computer Applications in Technology, Vol. 48, No. 3, pp. 212-221, 2013
                22. Y. L. Ying, Y. P. Cao, and S. Y. Li, “Study on Flow Parameters Optimisation for Marine Gas Turbine Intercooler System based on Simulation Experiment,” International Journal of Computer Applications in Technology, Vol. 47, No. 1, pp. 56-67, 2013


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