71 / 2021-06-18 14:22:10
Joint Kalman Observer for Mechanical Multi-parameter Decoupling Estimation of Permanent Magnet Synchronous Linear Motor
Joint Kalman Observer for Mechanical Multi-parameter Decoupling Estimation of Permanent Magnet Synchronous Linear Motor
Final Paper
Jiwen Zhao / HeFei University of Technology
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.
Important Date
  • Conference Date

    Jul 01

    2021

    to

    Jul 04

    2021

  • Jul 03 2021

    Contribution Submission Deadline

  • Nov 03 2021

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
Contact Information