Analysis and Application of Linear Extended State Observer Filter
[1]Tan Panlong,Li Yimin,Zhao Xiangbin,et al.Analysis and Application of Linear Extended State Observer Filter[J].Journal of Zhengzhou University (Engineering Science),2019,40(02):44-50.[doi:10.13705/j.issn.1671-6833.2019.02.003]
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40卷
Number of periods:
2019 02
Page number:
44-50
Column:
Public date:
2019-03-19
- Title:
- Analysis and Application of Linear Extended State Observer Filter
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2019.02.003
- Abstract:
- A novel filtering method based on the extended state observer (ESO) is proposed according to the engineering practice that the system outputs are impact by measurement noise. The linear ESO (LESO) filter achieves noise reduction process based on the accurate observation ability of ESO. And the LESO filter doesn’t need the statistical characteristics of noise in its application and it is capable for control system outputs with unknown or varied sampling rate. The LESO filter is simple in structure with two tunable parameters and is suitable for embedded systems. Proof of the uniform convergence of the LESO for control systems with output measurement noise is presented in the analysis section. And the LESO filter is presented in discrete form. Simulation results reveals that the linear ESO filter outperforms the Kalman filter with less computing time and higher precision. Then the proposed filter is applied to the wind identification of the powered parafoil and payload system in landing area. The application shows that the LESO filter is effective and easy to use
- References:
- -
- Similar References:
Memo
-
Last Update:
2019-03-24