Home Speed controller design for turboshaft engine using a high-fidelity AeroThermal model
Article
Licensed
Unlicensed Requires Authentication

Speed controller design for turboshaft engine using a high-fidelity AeroThermal model

  • Isil Yazar ORCID logo EMAIL logo
Published/Copyright: November 11, 2024
Become an author with De Gruyter Brill

Abstract

One of the main objectives of this research is to construct a high-fidelity aerothermal model for controlling the turboshaft engine power turbine rotational speed. Firstly, a high-fidelity aerothermal model of General Electric T700 is formed. The turboshaft engine aerothermal model is simulated and compared to engine design point data on MATLAB/Simulink environment. Thermodynamic equations and some algebraic equations are used. In predicting compressor mass flow rate, the adaptive neuro-fuzzy inference system method is preferred. A propeller model is also added to the turbo shaft engine aerothermal model and to keep the power turbine rotational speed at a constant value, a Proportional Integral Derivative controller is designed and applied. Open-loop and closed-loop simulations are conducted and successful outcomes are achieved. Results indicate that the differences between simulation and actual engine data are within acceptable limits. The suggested model can be readily updated and expanded to control additional parameters of the engine.

PACS 2010 Classification: Control theory in mathematical physics, 02.30. Yy, Computer modeling and simulation, 07.05.Tp, 05.70.Ce Thermodynamic functions and equations of state.


Corresponding author: Isil Yazar, Department of Aeronautical Engineering, Faculty of Engineering and Architecture, Eskisehir Osmangazi University, Eskisehir, Türkiye, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Competing interests: The author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

Nomenlature

N

Shaft rotational speed

π

Pressure ratio

m ˙

Mass flow rate

T

Temperature

h

enthalpy

P comp

Compressor power

η

Efficiency

C p

Specific heat value

γ

Specific heat ratio

R

Gas constant

V

Volume

J

Moment of inertia

P PT

Power turbine power

P HPT

High pressure turbine power

P LOAD

Load applied on the power turbine

References

1. Balli, O. Advanced exergy analyses to evaluate the performance of a military aircraft turbojet engine (TJE) withafterburner system: splitting exergy destruction into unavoidable/avoidable and endogenous/exogenous. Appl Therm Eng 2017;111:152–69. https://doi.org/10.1016/j.applthermaleng.2016.09.036.Search in Google Scholar

2. Şöhret, Y, Ekici, S, Dinc, A. Investigating the green performance limits of a cargo aircraft engine during flight: a thermo-environmental evaluation. Energy Sources, Part A Recovery, Util Environ Eff 2021:1–16. https://doi.org/10.1080/15567036.2021.2017513.Search in Google Scholar

3. Dinc, A, Gharbia, Y. Global warming potential estimations of a gas turbine engine and effect of selected design parameters. Proceedings of the ASME 2020 international mechanical engineering congress and exposition. Vol 8: Energy. Virtual, Online. November 16–19, 2020. V008T08A037. ASME. https://asmedigitalcollection.asme.org/IMECE/proceedings-abstract/IMECE2020/84560/V008T08A037/1099340 Search in Google Scholar

4. Wang, X, Cai, L. Mathematical modeling and control of a tilt-rotor aircraft. Aero Sci Technol 2015;47:473–92 1270-9638. https://doi.org/10.1016/j.ast.2015.10.012 Search in Google Scholar

5. Oktay, T, Sultan, C. Modeling and control of a helicopter slung-load system. Aero Sci Technol 2013;29:206–22. https://doi.org/10.1016/j.ast.2013.03.005.Search in Google Scholar

6. Luo, CC, Liu, RF, Yang, CD, Chang, YH. Helicopter H∞ control design with robust flying quality. Aero Sci Technol 2003;7:159–69. https://doi.org/10.1016/s1270-9638(02)00012-3.Search in Google Scholar

7. Wang, X, Liu, J, Cai, K. Tracking control for a velocity-sensorless VTOL aircraft with delayed outputs. Automatica 2009;45:2876–82. https://doi.org/10.1016/j.automatica.2009.09.003.Search in Google Scholar

8. Wang, X. Takeoff/landing control based on acceleration measurements for VTOL Aircraft. J Franklin Inst 2013;350:3045–63. https://doi.org/10.1016/j.jfranklin.2013.06.020.Search in Google Scholar

9. Song, J, Wang, Y, Ji, C, Zhang, H. Real-time optimization control of variable rotor speed based on Helicopter/turboshaft engine onboard composite system. Energy 2024;301. https://doi.org/10.1016/j.energy.2024.131701.Search in Google Scholar

10. Lu, Y, Chang, Z, Lu, Y, Ding, L, Ye, N. Design and dynamics of a novel parallel coaxial twin-rotor of the helicopter. Aero Sci Technol 2022;127. https://doi.org/10.1016/j.ast.2022.107654.Search in Google Scholar

11. Tischler, MB. Flight control technology advancements and challenges for future rotorcraft 40th alexander A. Nikolsky honorary lecture. J Am Helicopter Soc 2022;67:041001–39. https://doi.org/10.4050/jahs.67.041001.Search in Google Scholar

12. Goulos, I, Bonesso, M. Variable rotor speed and active blade twist for civil rotorcraft: optimum scheduling, mission analysis, and environmental impact. Aero Sci Technol 2019;88:444–56. ISSN 1270-9638. https://doi.org/10.1016/j.ast.2019.03.040.Search in Google Scholar

13. Padfield, GD. Helicopter flight dynamics. Oxford, Eng- Land, UK: Blackwell Publishing; 2007.10.2514/4.479205Search in Google Scholar

14. Uzol, O. A new high-fidelity transient aerothermal model for real-time simulations of the T700 helicopter turboshaft engine. Isı Bilimi ve Tekniği Dergisi- J. of Thermal Sci Technol 2011;31:37–44.Search in Google Scholar

15. Ahmadian, N, Khosravi, A, Sarhadi, P. Adaptive control of a jet turboshaft engine driving a variable pitch propeller using multiple models. Mech Syst Signal Process 2017;92:1–12. https://doi.org/10.1016/j.ymssp.2017.01.023.Search in Google Scholar

16. Zheng, Q, Xu, Z, Zhang, H, Zhu, Z. A turboshaft engine NMPC scheme for helicopter autorotation recovery maneuver. Aero Sci Technol 2018;76:421–32. ISSN 1270-9638 https://doi.org/10.1016/j.ast.2018.01.034.Search in Google Scholar

17. Zhao, J, Zhang, J, Li, Y, Wu, Y. A control design of rotor speed regulation for an aero-engine based on smooth switching Strategy∗∗This work was supported by liao ning revitalization talents program under grant XLYC1907100, the fundamental research funds for the central universities (No.: DUT21LAB125) and the second batch of funding project for leading talents in dalian under the design and development of small unmanned quaternary vehicle. IFAC-PapersOnLine 2021;54:324–9. ISSN 2405-8963 https://doi.org/10.1016/j.ifacol.2021.10.183.Search in Google Scholar

18. Sheng, H, Chen, Q, Li, J, Jiang, W, Wang, Z, Liu, Z, et al.. Research on dynamic modeling and performance analysis of helicopter turboshaft engine’s start-up process. Aero Sci Technol 2020;106. 1270-9638 https://doi.org/10.1016/j.ast.2020.106097.Search in Google Scholar

19. Wang, Y, Zheng, Q, Du, Z, Zhang, H. Research on nonlinear model predictive control for turboshaft engines based on double engines torques matching. Chin J Aeronaut 2020;33:561–71. https://doi.org/10.1016/j.cja.2019.10.008.Search in Google Scholar

20. Wang, Y, Zheng, Q, Xu, Z, Zhang, H. A novel control method for turboshaft engine with variable rotor speed based on the Ngdot estimator through LQG/LTR and rotor predicted torque feedforward. Chin J Aeronaut 2020;33:1867–76. https://doi.org/10.1016/j.cja.2020.01.009.Search in Google Scholar

21. Walsh, PP, Fletcher, P. Gas turbine performance. Oxford: Blackwell Science; 1998.Search in Google Scholar

22. Lichtsinder, M, Levy, Y. Jet engine model for control and real-time simulations. ASME J Eng Gas Turbines and Power 2006;128:745–53. https://doi.org/10.1115/1.1915391.Search in Google Scholar

23. Camporeale, SM, Fortunato, B, Mastrovito, M. A modular code for real-time dynamic simulation of gas turbines in simulink. ASME J Eng Gas Turbines and Power 2006;128:506–17. https://doi.org/10.1115/1.2132383.Search in Google Scholar

24. Camporeale, SM, Fortunato, B, Mastrovito, M. A high fidelity real-time simulation code of gas turbine dynamics for control applications, ASME paper GT-2002-30039 2002;169–82. https://asmedigitalcollection.asme.org/GT/proceedings-abstract/GT2002/3607X/169/296175.10.1115/GT2002-30039Search in Google Scholar

25. Ballin, MG. A high-fidelity real-time simulation of a small turboshaft engine NASA-TM-100991,:1988. https://ntrs.nasa.gov/citations/19880016994.Search in Google Scholar

26. Bozzi, L, Crosa, G, Trucco, A. Simplified block diagram of twin shaft gas turbines. In: Proceedings of ASME turbo expo power for land. Sea and Air; 2003.10.1115/GT2003-38679Search in Google Scholar

27. Al-Hamdan, QZ, Ebaid, MSY. Modelling and simulation of a gas turbine engine for power generation. ASME J Eng Gas Turbines and Power 2006;128:302–11. https://doi.org/10.1115/1.2061287.Search in Google Scholar

28. Korakianitis, T, Hochstein, JI, Zou, D. Prediction of the transient thermodynamic response of a closed-cycle regenerative gas turbine. ASME J Eng Gas Turbines and Power 2005;127:57–64. https://doi.org/10.1115/1.1806449.Search in Google Scholar

29. Kocer, G, Uzol, O, Yavrucuk, I. Simulation of the transient response of a helicopter turboshaft engine to hot gas ingestion. In: Proceedings of ASME turbo expo 2008: power for land, sea and air. Berlin, Germany; 2008. GT2008-51164, June 9-13.Search in Google Scholar

30. Novikov, Y. Development of a high-fidelity transient aerothermal model for a helicopter turboshaft engine for inlet distortion and engine deterioration simulations. M.S. In: Master of Science. Ankara, Turkey: Middle East Technical University; 2012.Search in Google Scholar

31. https://www.geaerospace.com/military-defense/engines/t700.Search in Google Scholar

32. Jang, JR. ANFIS: adaptive-network-based fuzzy inference system. IEEE T Syst Man Cyc 1993;23:665–85. https://doi.org/10.1109/21.256541.Search in Google Scholar

33. Gaudet, SR. Development of a dynamic modeling and control system design methodology for gas turbines. In: Master of applied science thesis. Department of mechanical and aerospace engineering. Ottawa, Ontario, Canada: Carleton University; 2007.Search in Google Scholar

34. Chappel, MS, Cockshutt, EP. Gas turbine cycle calculations: thermodynamic data tables for air and combustion products for three systems of units. NRC No:14300. Ottowa, Canada; 1974.Search in Google Scholar

35. Ogata, K. Modern control engineering systems, 3rd ed. India: Prentice Hall; 1997.Search in Google Scholar

36. Saravanamuttoo, HIH, Rogers, GFC, Cohen, H, Straznicky, PV. Gas turbine theory. 9780132224376. Harlow, England; New York: Pearson Prentice Hall; 2009.Search in Google Scholar

Received: 2024-07-01
Accepted: 2024-08-31
Published Online: 2024-11-11
Published in Print: 2025-05-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Deep residual ensemble model for predicting remaining useful life of turbo fan engines
  3. Review of gliding arc plasma assisted ignition and combustion for gas turbine application
  4. Interaction effects between the rotor wake and hub leakage flow in a multi-stage cantilevered compressor
  5. Determination of the modern marine single shaft gas turbine rotor blades fatigue strength parameters
  6. Role of different cavity flame holders on the performance characteristics of supersonic combustor
  7. Thermal performance of teardrop pin fins and zig zag ribs in a wedge channel
  8. Investigation of varying tip clearance gap and operating conditions on the fulfilment of low-speed axial flow fan
  9. Upgraded one-dimensional code for the design of a micro gas turbine mixed flow compressor stage with various crossover diffuser configurations
  10. Performance evaluation of a scramjet engine utilizing varied cavity aft wall divergence with parallel injection in a reacting flow field
  11. Speed controller design for turboshaft engine using a high-fidelity AeroThermal model
  12. Multi-nozzle thrust matching control of STOVL engine
  13. Numerical analysis of brush seal hysteresis based on orthogonal test method
  14. Conjugated heat transfer characteristics of ribbed-swirl cooling in turbine blade under rotation condition
  15. Flow pattern formation due to the interdependency of multi-component interactions and their impact on the performance of turbine and exhaust duct of gas turbine
  16. Flight trajectory optimization study of a variable-cycle turbine-based combined cycle engine hypersonic vehicle based on airframe/engine integration
  17. Constant temperature line identification on prototype gas turbine combustor with multi-colour change coating
  18. Sensitivity analysis of aero-engine performance optimization control system and its hardware test verification
  19. Compensator based improved model predictive control for Aero-engine
  20. Ignition experimental study based on rotating gliding arc
Downloaded on 4.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/tjj-2024-0060/pdf
Scroll to top button