On-Board Real-Time Optimization Control for Turbo-Fan Engine Life Extending

A real-time optimization control method is proposed to extend turbo-fan engine service life. This real-time optimization control is based on an on-board engine mode, which is devised by a MRR-LSSVR (multi-input multi-output recursive reduced least squares support vector regression method). To solve...

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Vydáno v:International journal of turbo & jet-engines Ročník 34; číslo 4; s. 321 - 332
Hlavní autoři: Zheng, Qiangang, Zhang, Haibo, Miao, Lizhen, Sun, Fengyong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin De Gruyter 01.12.2017
Walter de Gruyter GmbH
Témata:
07.07.Tw
45.80.
87.19.lr
Acceleration
Computer simulation
Control methods
Fatigue life
life extending control
Materials fatigue
MRR-LSSVR
Optimization
Quadratic programming
Real time
real time control
Recursive methods
Service life
Strain
Support vector machines
turbo-fan engine
ISSN:0334-0082, 2191-0332
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Shrnutí:A real-time optimization control method is proposed to extend turbo-fan engine service life. This real-time optimization control is based on an on-board engine mode, which is devised by a MRR-LSSVR (multi-input multi-output recursive reduced least squares support vector regression method). To solve the optimization problem, a FSQP (feasible sequential quadratic programming) algorithm is utilized. The thermal mechanical fatigue is taken into account during the optimization process. Furthermore, to describe the engine life decaying, a thermal mechanical fatigue model of engine acceleration process is established. The optimization objective function not only contains the sub-item which can get fast response of the engine, but also concludes the sub-item of the total mechanical strain range which has positive relationship to engine fatigue life. Finally, the simulations of the conventional optimization control which just consider engine acceleration performance or the proposed optimization method have been conducted. The simulations demonstrate that the time of the two control methods from idle to 99.5 % of the maximum power are equal. However, the engine life using the proposed optimization method could be surprisingly increased by 36.17 % compared with that using conventional optimization control.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:0334-0082
2191-0332
DOI:10.1515/tjj-2016-0015