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Models and the Control System Design Cycle

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Dynamic Modelling of Gas Turbines

Abstract

In this chapter techniques for mathematical modelling of gas turbine engines are presented considering the different stages in the life cycle from design, to demonstration, to commercial control system development, and finally through to in-service use. Through these stages the fidelity of the engine model is refined, as more information becomes available. The chapter thus considers evolution of models from the initial stages of design, where the general characteristics of the engine are known, to the latter stages, where a controller is tailored to the specific characteristics of the engine. The models required over the life cycle are discussed in greater detail in subsequent chapters. The key modelling stages are as follows:

  • nonlinear performanee-based modelling;

  • dynamic characteristic modelling;

  • linear dynamic modelling;

  • piecewise linear dynamic modelling for real-time development.

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References

  1. Kulikov GG. Mathematical modelling of gas turbine engine as a multi-variable plant. In: Shevyakov AA, Martyanova TS, editors. Optimisation of Multi-variable Control Systems of Aero Gas Turbine Engines. (In Russian). Moscow: Mashinostroenie, 1989; 30–88.

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  2. Cohen H, Rogers GFC, Saravanamuttoo HIH. Gas Turbine Theory. Harlow: Addison-Wesley-Longman, 1996.

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  3. Shevyakov AA. Automatica of Aero Power Plants. (in Russian). Moscow: Mashinostroyeniye, 1965.

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  4. Kulikov GG. Principles of design of digital control systems for aero engines (Chapter 7). Mathematical models used in CAD systems for engine and its control design (Section 8.4). In: Cherkasov BA, editor. Control and Automatics of Jet Engines. (in Russian). Moscow: Mashinostroyeniye, 1988; 253–274, 288–308. (Japanese edition is also available).

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© 2004 Springer-Verlag London

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Kulikov, G.G., Thompson, H.A. (2004). Models and the Control System Design Cycle. In: Kulikov, G.G., Thompson, H.A. (eds) Dynamic Modelling of Gas Turbines. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-3796-2_2

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  • DOI: https://doi.org/10.1007/978-1-4471-3796-2_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-914-7

  • Online ISBN: 978-1-4471-3796-2

  • eBook Packages: Springer Book Archive

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