Advanced constraints management strategy for real-time optimization of gas turbine engine transient performance

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dc.contributor.authorNikolaidis, Theoklis
dc.contributor.authorJafari, Soheil
dc.contributor.authorLi, Zhuo
dc.date.accessioned2019-12-10T11:15:35Z
dc.date.available2019-12-10T11:15:35Z
dc.date.issued2019-12-06
dc.description.abstractMotivated by the growing technology of control and data processing as well as the increasingly complex designs of the new generation of gas turbine engines, a fully automatic control strategy that is capable of dealing with different aspects of operational and safety considerations is required to be implemented on gas turbine engines. An advanced practical control mode satisfaction method for the entire operating envelope of gas turbine engines is proposed in this paper to achieve the optimal transient performance for the engine. A constraint management strategy is developed to generate different controller settings for short-range fighters as well as long-range intercontinental aircraft engines at different operating conditions by utilizing a model predictive control approach. Then, the designed controller is tuned and modified with respect to different realistic considerations including the practicality, physical limitations, system dynamics, and computational efforts. The simulation results from a verified two-spool turbofan engine model and controller show that the proposed method is capable of maneuverability and/or fuel economy optimization indices while satisfying all the predefined constraints successfully. Based on the parameters, natural frequencies, and dynamic behavior of the system, a set of optimized weighting factors for different engine parameters is also proposed to achieve the optimal and safe operation for the engine at different flight conditions. The paper demonstrates the effects of the prediction length and control horizon; adding new constraints on the computational effort and the controller performance are also discussed in detail to confirm the effectiveness and practicality of the proposed approach in developing a fully automatic optimized real-time controller for gas turbine engines.en_UK
dc.identifier.citationNikolaidis T, Li Z, Jafari S. Advanced constraints management strategy for real-time optimization of gas turbine engine transient performance. Applied Sciences, Volume 9, Issue 24, December 2019, Article number 5333en_UK
dc.identifier.issn2076-3417
dc.identifier.urihttps://doi.org/10.3390/app9245333
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14815
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectgas turbine engineen_UK
dc.subjecttransient performance optimizationen_UK
dc.subjectmodel predictive controlen_UK
dc.subjectconstraints managementen_UK
dc.subjectcontrol modes satisfactionen_UK
dc.subjectreal-time optimizationen_UK
dc.titleAdvanced constraints management strategy for real-time optimization of gas turbine engine transient performanceen_UK
dc.typeArticleen_UK

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