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Off-equilibrium linearisation-based nonlinear control of turbojet enginese with sum-of-squares programming

Published online by Cambridge University Press:  28 September 2020

Y. Tang
Affiliation:
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou310027, China
Y. Li
Affiliation:
Beijing Power Machinery Research Institute, China Aerospace Science and Industry Corporation, Beijing100074, China School of Astronautics, Northwestern Polytechnical University, Xi’an710072, China
T. Cui*
Affiliation:
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou310027, China
Y. Zheng
Affiliation:
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou310027, China

Abstract

In conventional linear parameter-varying (LPV) modelling and gain scheduling control design for turbojet engines, the linearisation is performed at a set of equilibrium points, and the validity of such LPV models is ensured near the equilibria. However, the linear model can only provide an approximate description of the engine’s state when the system operates away from equilibrium. In this paper, it is suggested that such linearisation should be carried out not only at equilibrium states but also in transient (off-equilibrium) operating regimes. This will result in a global approximation to the system states whether equilibrium or off-equilibrium. Theoretically, the transient control performance can be improved by introducing such an off-equilibrium linearisation-based control procedure. Subsequently, a gain scheduling control procedure based on off-equilibrium linearisation models is proposed by using sum-of-squares (SOS) programming, which, compared with many convex programming methods, can provide less conservative results. The resulting off-equilibrium linearisation-based nonlinear control procedure with SOS programming can capture a wide range of transient engine dynamics with better accuracy, and further achieve better control performance.

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

REFERENCES

Reberga, L., Henrion, D., Bernussou, J. and Vary, F. LPV Modelling of a turbofan engine, IFAC Proc. Vol., 2005, 38, (1), pp 526531.CrossRefGoogle Scholar
Yan, S., Zhao, J. and Liu, Y. Switching control for aero-engines based on switched equilibrium manifold expansion model, IEEE Trans. Ind. Electron. 2017, 64, (4), pp 31563165.Google Scholar
Chen, C. and Zhao, C. Switching control of acceleration and safety protection for turbo fan aero-engines based on equilibrium manifold expansion model, Asian J. Control 2018, 20, (5), pp 16891700.CrossRefGoogle Scholar
Bruzelius, F., Breitholtz, C. and Pettersson, S. LPV-based gain scheduling technique applied to a turbo fan engine model, Proc. Int. Conf. Control Appl. 2002, 2, pp 713718.Google Scholar
Sui, Y. and Yu, D. Identification of expansion model based on equilibrium manifold of turbojet engine, Acta Aeronaut. Astron. Sin., 2007, 28, (3), pp 531534.Google Scholar
Yu, D., Zhao, H., Xu, Z., Sui, Y. and Liu, D. An approximate non-linear model for aeroengine control, proceedings of the institution of mechanical engineers, J. Aerosp. Eng. 2011, 225, (12), pp 13661381.Google Scholar
Zhao, H., Liu, J. and Yu, D, Approximate nonlinear modeling and feedback linearization control for aeroengines, J. Eng. Gas Turbines Power-Trans. ASME 2011, 133, (11), pp 111601.CrossRefGoogle Scholar
Liu, T., Du, X., Sun, X-M., Richter, H. and Zhu, F. Robust tracking control of aero-engine rotor speed based on switched LPV model, Aerosp. Sci. Technol. 2019, 91, pp 382390.CrossRefGoogle Scholar
Chung Gi-Yun, J. V., Prasad, R., Dhingra, M. and Meisner, R. Real time analytical linearization of turbofan engine model, J. Eng. Gas Turbines Power-Trans. ASME 2014, 136, (1), pp 11201.CrossRefGoogle Scholar
Johansen, T.A., Hunt, K.J., Gawthrop, P.J. and Fritz, H. Off-equilibrium linearisation and design of gain-scheduled control with application to vehicle speed control, Control Eng. Prac. 1998, 6, (1), pp 167180.CrossRefGoogle Scholar
Leith, D.J. and Leithead, W.E. Gain-scheduled and nonlinear systems: dynamic analysis by velocity-based linearization families, Int. J. Control 1998, 70, (2), pp 289317.CrossRefGoogle Scholar
Gilbert, W., Henrion, D., Bernussou, J. and Boyer, D. Polynomial LPV synthesis applied to turbofan engines, IFAC Proc. Vol., 2007, 40, (7), pp 645650.CrossRefGoogle Scholar
Lu, F., Qian, J., Huang, J. and Qiu, X. In-flight adaptive modeling using polynomial LPV approach for turbofan engine dynamic behavior, Aerosp. Sci. Technol. 2017, 64, pp 223236.CrossRefGoogle Scholar
Wu, F. and Prajna, S. SOS-based solution approach to polynomial LPV system analysis and synthesis problems, Int. J. Control 2005, 78, (8), pp 600611.CrossRefGoogle Scholar
Papachristodoulou, A. and Papageorgiou, C. Robust Stability and Performance Analysis of a Longitudinal Aircraft Model Using Sum of Squares Techniques, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005, pp 12751280.Google Scholar
Chapman, J.W., Lavelle, T.M., May, R.D., Litt, J.S. and Guo, T.-H. Toolbox for the Modeling and Analysis of Thermodynamic Systems (T-MATS) User’s Guide. 2014.CrossRefGoogle Scholar
Seldner, K. and Cwynar, D.S. Procedures for Generation and Reduction of Linear Models of a Turbofan Engine, NASA Technical Report, No. 1261.Google Scholar
Sugiyama, N., Derivation of system matrices from nonlinear dynamic simulation of jet engines, J. Guid. Control Dyna. 1994, 17, (6), pp 13201326.CrossRefGoogle Scholar
Xie, W., An equivalent LMI representation of bounded real lemma for continuous-time systems. J. Inequal. Appl. 2008, 2008, (1), pp 672905.Google Scholar
Topcu, U., Packard, A., Seiler, P. and Wheeler, T. Stability Region Analysis Using Simulations and Sum-of-Squares Programming, 2007 American Control Conference, 2007, pp 60096014.CrossRefGoogle Scholar
Jaw, L.C. and Mattingly, J.D. Aircraft Engine Controls: Design, System Analysis, and Health Monitoring. AIAA, Reston, VA, 2009.CrossRefGoogle Scholar
Vinnicombe, G.. Uncertainty and Feedback: H∞ Loop-Shaping and the v-Gap Metric. World Scientific, Singapore, 2000.CrossRefGoogle Scholar