Qinan Ni
A New Position and Speed Estimation Scheme for Position Control of PMSM Drives Using Low-Resolution Position Sensors
Ni, Qinan; Yang, Ming; Odhano, Shafiq Ahmed; Tang, Mi; Zanchetta, Pericle; Liu, Xiaosheng; Xu, Dianguo
Authors
Ming Yang
Shafiq Ahmed Odhano
Mi Tang
PERICLE ZANCHETTA pericle.zanchetta@nottingham.ac.uk
Professor of Control Engineering
Xiaosheng Liu
Dianguo Xu
Abstract
A new position control method for permanent magnet synchronous motor (PMSM) drive with a low-resolution encoder is proposed in this paper. Three binary Hall position sensors are utilized to realize a moderate-performance position control system for the consideration of economy and simplicity in servo application. Compared with sensorless control, the usage of binary Hall position sensors is a guarantee of both control performance and low cost. However, the low resolution of the Hall sensor will heavily deteriorate the accuracy of the position and speed calculation. Such drawback can be effectively minimized by using appropriate position and speed estimation schemes. With the help of polynomial fitting and state observer techniques, a solution is provided to realize semi-closed loop control by treating the position and speed estimators as separate systems. The performance can be improved (1) by proposing a polynomial fitting scheme with least squares method, high-resolution rotor-position predictor can be derived by fitting the predefined position data from binary Hall position sensors in a linear or quadratic manner; (2) by adopting the dual-sampling-rate observer, instantaneous speed can be estimated at each control cycle and the estimation error is corrected once a new measurement form the Hall arrives. Furthermore, a nonlinear position control algorithm is introduced to increase standstill stability. Extensive experimental results are given to demonstrate the feasibility of the proposed method and its superiority over conventional methods.
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 12, 2019 |
Online Publication Date | Mar 13, 2019 |
Publication Date | 2019 |
Deposit Date | Jul 8, 2019 |
Publicly Available Date | Jul 10, 2019 |
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 | 55 |
Issue | 4 |
Pages | 3747-3758 |
DOI | https://doi.org/10.1109/tia.2019.2904934 |
Keywords | Binary Hall position sensors, Dual-sampling-rate observer, Least squares (LS), Polynomial fitting, Position control |
Public URL | https://nottingham-repository.worktribe.com/output/2286148 |
Publisher URL | https://ieeexplore.ieee.org/document/8666752 |
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. |
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