Joint Kalman Observer for Mechanical Multi-parameter Decoupling Estimation of Permanent Magnet Synchronous Linear Motor
ID:71 Submission ID:71 View Protection:PUBLIC Updated Time:2021-06-26 22:58:21 Hits:366 Poster Presentation

Start Time:2021-07-02 14:37 (Asia/Shanghai)

Duration:1min

Session:[SP] Poster Session » [P1] Poster Session 1 & 2

Abstract
A novel decoupling parameter estimation strategy based on Joint Kalman Observer (JKO) is proposed in this paper to estimate whole mechanical multi-parameter of Permanent Magnet Synchronous Linear Motor (PMSLM). First, a mechanical motion model of PMSLM with multiple mechanical parameter disturbances is established. Secondly, In order to eliminate the influence of noise on parameter identification, a joint Kalman observer is designed, which can quickly observe the system state and disturbance. In addition, Aiming at the characteristics of the limited travel of PMSLM, a simple decoupling identification strategy of multiple mechanical parameters of PMSLM is proposed. Finally, simulation results show the validity of the proposed parameter estimation approach.
Keywords
Kalman Observer;parameter estimation;Linear Motor
Speaker
Xiaohu Zhang
HeFei University of Technology

Submission Author
Jiwen Zhao HeFei University of Technology
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