Abstract
An accurate mover position is important for a planar switched reluctance motor (PSRM) to achieve precision positioning; however, position sensors are susceptible to the influence from harsh conditions and are relatively expensive. In this article, an assistant-mover-based position estimation method is proposed to increase the reliability and reduce the cost of a PSRM system. The method is based on a mapping relationship between the flux density and position of the assistant mover. First, the configuration of the assistant movers is presented. Then, an analytical model of the flux density of the assistant mover is developed by using an equivalent magnetic circuit method. Based on the analytical model, the parameters of the assistant mover are determined. According to the flux density characteristics, a position estimation algorithm with the advantages of not requiring previous experimental data, simple computation, and small memory consumption is developed. Moreover, considering the deviation in the characteristics of each assistant mover, a compensation strategy is proposed to obtain better position estimation accuracy. Finally, the proposed method is implemented with the PSRM system. The effectiveness of the proposed position estimation method is verified experimentally.
| Original language | English |
|---|---|
| Article number | 8863116 |
| Pages (from-to) | 6066-6077 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Industrial Electronics |
| Volume | 67 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2020 |
Bibliographical note
Funding Information:Manuscript received February 27, 2019; revised June 20, 2019 and August 7, 2019; accepted September 16, 2019. Date of publication October 8, 2019; date of current version March 4, 2020. This work was supported in part by the National Natural Science Foundation of China under Grant 51677120, Grant U1813212, and Grant 51907128, in part by the Natural Science Foundation of Guangdong Province, China under Grant 2017A030310460, and in part by the Shenzhen Government Fund under Grant JCYJ20180305124348603. (Corresponding author: Su-Dan Huang.) G.-Z. Cao and S.-D. Huang are with the Shenzhen Key Laboratory of Electromagnetic Control, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China (e-mail:, gzcao@ szu.edu.cn; hsdsudan@gmail.com).
Publisher Copyright:
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Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Keywords
- Assistant mover
- Hall sensor
- planar switched reluctance motor (PSRM)
- position estimation
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering