Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method
In order to realize online update of the flight control system, online assessment of flight capability and online detection of an aircraft fault, the online identification method of unknown parameters in the aircraft dynamics model was studied. Firstly, based on the analysis of aircraft characterist...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2019-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.04.010 |
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| _version_ | 1849224713172156416 |
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| author | JIANG Yongming WANG Changqing XU Cheng |
| author_facet | JIANG Yongming WANG Changqing XU Cheng |
| author_sort | JIANG Yongming |
| collection | DOAJ |
| description | In order to realize online update of the flight control system, online assessment of flight capability and online detection of an aircraft fault, the online identification method of unknown parameters in the aircraft dynamics model was studied. Firstly, based on the analysis of aircraft characteristics, the longitudinal small disturbance linear motion equation and the longitudinal nonlinear motion equation are selected as the identification model. Then, the recursive least squares method is used to identify the parameters of the Single Input and Multiple Output (SISO) linear motion model and the linear subsystem of the multiple input and multiple output (MIMO) nonlinear motion model. The simulation results show that the recursive least squares method has fast convergence speed and high computational efficiency. The identification accuracy meets the engineering requirements and can be used for online identification. However, this method is only suitable for simple linear models and cannot be directly adopted for nonlinear complex motion models. |
| format | Article |
| id | doaj-art-30386012ce0e4d8a9d5477a901e14ee4 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2019-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-30386012ce0e4d8a9d5477a901e14ee42025-08-25T06:54:21ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272019-01-0136586482327507Online Identification of Aircraft Model Parameters Based on Recursive Least Squares MethodJIANG YongmingWANG ChangqingXU ChengIn order to realize online update of the flight control system, online assessment of flight capability and online detection of an aircraft fault, the online identification method of unknown parameters in the aircraft dynamics model was studied. Firstly, based on the analysis of aircraft characteristics, the longitudinal small disturbance linear motion equation and the longitudinal nonlinear motion equation are selected as the identification model. Then, the recursive least squares method is used to identify the parameters of the Single Input and Multiple Output (SISO) linear motion model and the linear subsystem of the multiple input and multiple output (MIMO) nonlinear motion model. The simulation results show that the recursive least squares method has fast convergence speed and high computational efficiency. The identification accuracy meets the engineering requirements and can be used for online identification. However, this method is only suitable for simple linear models and cannot be directly adopted for nonlinear complex motion models.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.04.010aircraftmodel parametersonline identificationrecursive least squares methodmultiple input and multiple output (MIMO) |
| spellingShingle | JIANG Yongming WANG Changqing XU Cheng Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method Kongzhi Yu Xinxi Jishu aircraft model parameters online identification recursive least squares method multiple input and multiple output (MIMO) |
| title | Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method |
| title_full | Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method |
| title_fullStr | Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method |
| title_full_unstemmed | Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method |
| title_short | Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method |
| title_sort | online identification of aircraft model parameters based on recursive least squares method |
| topic | aircraft model parameters online identification recursive least squares method multiple input and multiple output (MIMO) |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.04.010 |
| work_keys_str_mv | AT jiangyongming onlineidentificationofaircraftmodelparametersbasedonrecursiveleastsquaresmethod AT wangchangqing onlineidentificationofaircraftmodelparametersbasedonrecursiveleastsquaresmethod AT xucheng onlineidentificationofaircraftmodelparametersbasedonrecursiveleastsquaresmethod |