| contributor author | Shuiting Ding | |
| contributor author | Ye Yuan | |
| contributor author | Naiyu Xue | |
| contributor author | Xiaofeng Liu | |
| date accessioned | 2017-12-30T13:03:06Z | |
| date available | 2017-12-30T13:03:06Z | |
| date issued | 2017 | |
| identifier other | %28ASCE%29AS.1943-5525.0000726.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4245043 | |
| description abstract | This study investigates an onboard aeroengine model (OBEM)-tuning system (OTS) based on a hybrid Kalman filter, which is mostly used to estimate the aeroengine performance. The OTS structure comprises two parts. One is an OBEM, the other a linear parameter-varying Kalman filter. The Kalman filter is used as a regulator to minimize the mismatch of the measured outputs between the OBEM and the actual engine. This study describes the method and procedure used to construct the OTS. The results from the application of the technique to the aeroengine simulations are presented and compared to the conventional approach of tuner selection. The new methodology is shown to yield a significant improvement in online Kalman filter estimation accuracy. | |
| publisher | American Society of Civil Engineers | |
| title | An Onboard Aeroengine Model-Tuning System | |
| type | Journal Paper | |
| journal volume | 30 | |
| journal issue | 4 | |
| journal title | Journal of Aerospace Engineering | |
| identifier doi | 10.1061/(ASCE)AS.1943-5525.0000726 | |
| page | 04017018 | |
| tree | Journal of Aerospace Engineering:;2017:;Volume ( 030 ):;issue: 004 | |
| contenttype | Fulltext | |
