A Nonlinear Extended State Observer for Rotor Position and Speed Estimation for Sensorless IPMSM Drives

Xu, Zhuang John; Zhang, Tianru; Bao, Yuli; Zhang, He; Gerada, Chris

Abstract

© 1986-2012 IEEE. Sensorless machine drives in vehicle traction frequently experience rapidly-changing load disturbance and demand fast speed dynamics. Without gain-scheduling or compensation, conventional quadrature phase-locked-loop (Q-PLL) is unable to accurately estimate the rotor position and speed for these systems. In this paper, a third-order nonlinear extended state observer (TNESO) is proposed for position and speed estimation for sensorless interior permanent magnet synchronous motor drives. TNESO has the power of nonlinear feedback and takes the advantages of fast convergence and disturbance rejection. An optimized parameter configuration method is deployed to extend the disturbance observation bandwidth of the TNESO. Both steady state and transient performance of TNESO are verified through the experimental tests. In comparison with the performance of conventional Q-PLL scheme, the proposed observer is proved to be capable of delivering higher precision of position and speed estimation against rapidly varying disturbance in wide operating range.

Citation

Xu, Z. J., Zhang, T., Bao, Y., Zhang, H., & Gerada, C. (2020). A Nonlinear Extended State Observer for Rotor Position and Speed Estimation for Sensorless IPMSM Drives. IEEE Transactions on Power Electronics, 35(1), 733-743. https://doi.org/10.1109/tpel.2019.2914119

• Journal Article Type: Article
• Acceptance Date: Apr 22, 2019
• Online Publication Date: Apr 30, 2019
• Publication Date: Jan 1, 2020
• Deposit Date: Aug 13, 2019
• Publicly Available Date: Aug 14, 2019
• Journal: IEEE Transactions on Power Electronics
• Print ISSN: 0885-8993
• Electronic ISSN: 1941-0107
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 35
• Issue: 1
• Pages: 733-743
• DOI: https://doi.org/10.1109/tpel.2019.2914119
• Keywords: Electrical and Electronic Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/2425428
• Publisher URL: https://ieeexplore.ieee.org/document/8703133
• Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Contract Date: Aug 13, 2019