Research on self-learning control method for aircraft engine above idle state
The iterative learning control for aircraft engine above idle state is studied. An approach combining the proportional integral iterative learning with the traditional proportional integral derivative controller is proposed and then this hybrid iterative learning controller is constructed to control...
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| Format: | Article |
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SAGE Publishing
2016-06-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814016653888 |
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doaj-8ce8b2cb31994d8e9b90190ca615ac4e2020-11-25T03:16:51ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-06-01810.1177/168781401665388810.1177_1687814016653888Research on self-learning control method for aircraft engine above idle stateBing YuEnyu ShenYihuan HuangFeng LuThe iterative learning control for aircraft engine above idle state is studied. An approach combining the proportional integral iterative learning with the traditional proportional integral derivative controller is proposed and then this hybrid iterative learning controller is constructed to control the speed of three typical engine models. In the simulation study, the proposed method is applied to the nonlinear component level engine model, state variable engine model, and linear parameter-varying engine model; the results show that the performance of the proposed hybrid iterative learning controller is much better than the traditional proportional integral derivative controller.https://doi.org/10.1177/1687814016653888 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Bing Yu Enyu Shen Yihuan Huang Feng Lu |
| spellingShingle |
Bing Yu Enyu Shen Yihuan Huang Feng Lu Research on self-learning control method for aircraft engine above idle state Advances in Mechanical Engineering |
| author_facet |
Bing Yu Enyu Shen Yihuan Huang Feng Lu |
| author_sort |
Bing Yu |
| title |
Research on self-learning control method for aircraft engine above idle state |
| title_short |
Research on self-learning control method for aircraft engine above idle state |
| title_full |
Research on self-learning control method for aircraft engine above idle state |
| title_fullStr |
Research on self-learning control method for aircraft engine above idle state |
| title_full_unstemmed |
Research on self-learning control method for aircraft engine above idle state |
| title_sort |
research on self-learning control method for aircraft engine above idle state |
| publisher |
SAGE Publishing |
| series |
Advances in Mechanical Engineering |
| issn |
1687-8140 |
| publishDate |
2016-06-01 |
| description |
The iterative learning control for aircraft engine above idle state is studied. An approach combining the proportional integral iterative learning with the traditional proportional integral derivative controller is proposed and then this hybrid iterative learning controller is constructed to control the speed of three typical engine models. In the simulation study, the proposed method is applied to the nonlinear component level engine model, state variable engine model, and linear parameter-varying engine model; the results show that the performance of the proposed hybrid iterative learning controller is much better than the traditional proportional integral derivative controller. |
| url |
https://doi.org/10.1177/1687814016653888 |
| work_keys_str_mv |
AT bingyu researchonselflearningcontrolmethodforaircraftengineaboveidlestate AT enyushen researchonselflearningcontrolmethodforaircraftengineaboveidlestate AT yihuanhuang researchonselflearningcontrolmethodforaircraftengineaboveidlestate AT fenglu researchonselflearningcontrolmethodforaircraftengineaboveidlestate |
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