基于历史与磁检测信息的永磁同步平面电机定位方法

Abstract
Figure/Table
References (0)
Related Citation (1)

Download: PDF (12547 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

By utilizing the inherent magnetic field of spatial distribution in the permanent-magnet synchronous planar motor, a 3-degree-of-freedom (3-DOF) positioning can simplify the layout of the kinematic displacement sensors. It has great practical significance for determination of current phase and precision of motion control. However, the nonlinearity of the magnetic-field distribution results in the high complexity and low accuracy, if general mathematical methods are directly applied for calculating 3-DOF displacement based on detection of the magnetic field. In this paper, from the perspective of information fusion, by utilizing the continuity and inertia of motor motion, a fast solution with high resolution for planar 3-DOF positioning, named the successive solving algorithm (SSA), is advanced. Based on the historical output displacement information of the motor provided by magnetic sensors, the SSA resolves the problem of slow convergence in the prior work, which is caused by the restriction of the calculation model. The improvements on the position resolution as well as the computational efficiency pave the way for achieving high-precision motion control of this kind of motors.

Key words： Multi-degree-of-freedom positioning displacement measurement sensor systems and application permanent-magnet synchronous planar motor magnetic device

Received: 05 September 2015 Published: 30 June 2017

PACS:

TM341

Fund:

Supported by National Science Foundation of China (51175296, 51475262, 51677104) and Autonomous Scientific Research Project of Tsinghua University (20151080363)

Corresponding Authors: Hu Jinchun, male, born in 1972, associate professor, M.S. advisor. E-mail:hujinchun@tsinghua.edu.cn

About author:: Zhu Yixian, male, born in 1993, undergraduate student. Research interests are multi-degree of freedom displacement measurement.E-mail: zhuyx12@mails.tsinghua.edu.cn

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhu Yixian
	Hu Jinchun
	Du Shengwu
	Gao Zhenyu
	Chen Longmin

Cite this article:

Zhu Yixian,Hu Jinchun,Du Shengwu等. Planar Position for Permanent-Magnet Synchronous Motor Using Historical and Magnetic-Detection Information[J]. Transactions of China Electrotechnical Society, 2017, 32(12): 205-213.

URL:

https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I12/205

[1] 寇宝泉, 张赫. 多自由度短行程超精密平面电机技术发展综述[J]. 电工技术学报, 2013, 28(7): 1-11.
Kou Baoquan, Zhang He. Development of multi-DOF micro-motion ultra-precision planar motors[J]. Transactions of China Electrotechnical Society, 2013, 28(7): 1-11.
[2] Jansen J W, van Lierop C M M, Lomonova E A, et al. Modeling of magnetically levitated planar actuators with moving magnets[J]. IEEE Transactions on Magnetics, 2007, 43(1): 15-25.
[3] 宋玉晶, 张鸣, 朱煜, 等. 基于伪周期的Halbach永磁阵列三维磁场端部效应建模研究[J]. 电工技术学报, 2015, 30(12): 162-170.
Song Yujing, Zhang Ming, Zhu Yu, et al. Three dimensional magnetic field end-effect modeling for Halbach permanent magnet array based on pseudo periodic[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 162-170.
[4] 李鑫, 朱煜, 杨开明, 等. 基于电流分配系数自适应修正的平面电机解耦控制[J]. 电工技术学报, 2014, 29(11): 53-60.
Li Xin, Zhu Yu, Yang Kaiming, et al. Decoupled control for planar motor based on self-adaptive correction for current distribution coefficient[J]. Transactions of China Electrotechnical Society, 2014, 29(11): 53-60.
[5] Min Wei, Zhang Ming, Zhu Yu, et al. Analysis and design of novel overlapping ironless windings for planar motors[J]. IEEE Transactions on Magnetics, 2011, 47(11): 4635-4642.
[6] Yu Dongdong, Yang Kaiming, Zhu Yu. Nonlinear iterative learning control applied to an aerostatic X-Y planar motion stage[J]. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2012, 226(19): 1174-1182.
[7] Gao Zhenyu, Hu Jinchun, Zhu Yu, et al. A new 6-degree-of-freedom measurement method of X-Y stages based on additional information[J]. Precision Engineering, 2013, 37(3): 606-620.
[8] Liu Yongmeng, Yuan Maoqiang, Cao Jieru, et al. Use of two planar gratings to measure 3-DOF displace- ments of planar moving stage[J]. IEEE Transactions on Instrumentation and Measurement, 2015, 64(17): 163-169.
[9] Yang S M, Huang C L. A low cost linear position measurement system for magnetically levitated rotor in axial flow pump[C]//IEEE Industry Applications Society Annual Meeting, 2008: 1-5.
[10] Kawato Y, Kim W. Multi-degree-of-freedom preci- sion position sensing and motion control using two- axis Hall-effect sensors[J]. Journal of Dynamic Systems, Measurement, and Control, 2006, 128(4): 980-988.
[11] Foong S, Lee K M, Bai K. Harnessing embedded magnetic fields for angular sensing with nanodegree accuracy[J]. IEEE/ASME Transactions on Mechatro- nics, 2012, 17(4): 687-696.
[12] Wu S T, Chen J Y, Wu S H. A rotary encoder with an eccentrically mounted ring magnet[J]. IEEE Transa- ctions on Instrumentation and Measurement, 2014, 63(8): 1907-1915.
[13] Scelba G, De Donato G, Scarcella G, et al. Fault- tolerant rotor position and velocity estimation using binary Hall-effect sensors for low-cost vector control drives[J]. IEEE Transactions on Industry Applications, 2014, 50(5): 3403-3413.
[14] Song Shuang, Li Baopu, Qiao Wan, et al. 6D magnetic localization and orientation method for an annular magnet based on a closed-form analytical model[J]. IEEE Transactions on Magnetics, 2014, 50(9): 1-11.
[15] 李江, 王义伟, 魏超, 等. 卡尔曼滤波理论在电力系统中的应用综述[J]. 电力系统保护与控制, 2014, 42(6): 135-144.
Li Jiang, Wang Yiwei, Wei Chao, et al. A survey on the application of Kalman filtering method in power system[J]. Power System Protection and Control, 2014, 42(6): 135-144.
[16] 李功新, 周文俊, 薛尚青, 等. 动态电压恢复器的无迹卡尔曼滤波检测方法[J]. 电力系统保护与控制, 2013, 41(16): 127-132.
Li Gongxin, Zhou Wenjun, Xue Shangqing, et al. Detection for dynamic voltage restorer based on unscented Kalman filter[J]. Power System Protection and Control, 2013, 41(16): 127-132.
[17] 吴智利, 赵庆生, 陈惠英, 等. 低频采样下基于卡尔曼滤波的同步相量测量算法的研究[J]. 电力系统保护与控制, 2014, 42(15): 94-99.
Wu Zhili, Zhao Qingsheng, Chen Huiying, et al. A Kalman-filter based phasor measurement algorithm under low sampling frequency[J]. Power System Protection and Control, 2014, 42(15): 94-99.
[18] 高阵雨, 胡金春, 朱煜, 等. 基于UKF方法的永磁同步平面电动机位移测量[J]. 机械工程学报, 2010, 46(24): 40-45.
Gao Zhenyu, Hu Jinchun, Zhu Yu, et al. Permanent- magnet synchronous planar motor displacement measurement based on UKF method[J]. Chinese Journal of Mechanical Engineering, 2010, 46(24): 40-45.