Inductance Evaluation and Sensorless Control of a Concentrated Winding PM Vernier Machine

Zou, Tianjie; Han, Xun; Jiang, Dong; Qu, Ronghai; Li, Dawei

Abstract

Due to the advantages of high torque density and simple mechanical structure, permanent magnet vernier (PMV) machines have attracted more and more research interests. In this paper, the inductance nonlinearity of an advanced concentrated winding PMV machine is investigated with consideration of both magnetic saturation and cross-coupling saturation under different d-axis and q-axis current loading. Then, the mathematical model with a variable inductance matrix of the PMV machine is established through incorporation of the finite-element analysis and the surface fitting method. Further, a back electromotive force based sensorless control method is developed for this PMV machine model with design of a current-dependent state observer. Based on the sensorless algorithm, the influence of inductance variation on rotor position estimation performance is then quantitatively evaluated. Simulation results show that the PMV machine can be well controlled for steady- and dynamic-state operation, and the position estimation error is effectively decreased. Finally, the proposed sensorless control algorithm is validated through experimental tests of the PMV prototype machine.

Citation

Zou, T., Han, X., Jiang, D., Qu, R., & Li, D. (2018). Inductance Evaluation and Sensorless Control of a Concentrated Winding PM Vernier Machine. IEEE Transactions on Industry Applications, 54(3), 2175-2184. https://doi.org/10.1109/TIA.2018.2799982

• Journal Article Type: Article
• Acceptance Date: Jan 25, 2018
• Online Publication Date: Jan 31, 2018
• Publication Date: 2018-05
• Deposit Date: Feb 23, 2022
• Publicly Available Date: May 10, 2022
• Journal: IEEE Transactions on Industry Applications
• Print ISSN: 0093-9994
• Electronic ISSN: 1939-9367
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 54
• Issue: 3
• Pages: 2175-2184
• DOI: https://doi.org/10.1109/TIA.2018.2799982
• Keywords: Electrical and Electronic Engineering; Industrial and Manufacturing Engineering; Control and Systems Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/7505485
• Publisher URL: https://ieeexplore.ieee.org/document/8276560
• Additional Information: © 2018 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.