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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Vydané v:	International journal of turbo & jet-engines Ročník 34; číslo 4; s. 321 - 332
Hlavní autori:	Zheng, Qiangang, Zhang, Haibo, Miao, Lizhen, Sun, Fengyong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin De Gruyter 01.12.2017 Walter de Gruyter GmbH
Predmet:	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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Abstract	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.
AbstractList	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.
Author	Sun, Fengyong Miao, Lizhen Zheng, Qiangang Zhang, Haibo
Author_xml	– sequence: 1 givenname: Qiangang surname: Zheng fullname: Zheng, Qiangang email: zh_zhqg@163.com organization: College of Energy and Power, Nanjing University of Aeronautics and Astronautics, JiangSu Province Key Laboratory of Aerospace Power System, NO. 29 Yudao Street, Nanjing 210016, China – sequence: 2 givenname: Haibo surname: Zhang fullname: Zhang, Haibo email: zh_zhhb@163.com – sequence: 3 givenname: Lizhen surname: Miao fullname: Miao, Lizhen email: moumou68@nuaa.edu.cn – sequence: 4 givenname: Fengyong surname: Sun fullname: Sun, Fengyong email: fengyong.sun@nuaa.edu.cn
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Snippet	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...
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SubjectTerms	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
Title	On-Board Real-Time Optimization Control for Turbo-Fan Engine Life Extending
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