Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors

This paper proposes a convex quadratic optimization commutation method to raise the equalization degree of power loss distribution of coil array for magnetic levitation planar motors. Starting with the modeling of electromagnetic forces/torques and commutation of coil array, the global power loss an...

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Main Authors: Shengguo Zhang, Jingtao Huang, Jingxian Yang
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/9/1/79
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spelling doaj-20a9ccab022c488aa4a7ccc01e4d7cdb2020-11-25T01:04:20ZengMDPI AGApplied Sciences2076-34172018-12-01917910.3390/app9010079app9010079Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar MotorsShengguo Zhang0Jingtao Huang1Jingxian Yang2Key Lab of China’s National Languages Information Technology, Northwest Minzu University, Lanzhou 730030, ChinaSchool of Electrical Engineering, Northwest Minzu University, Lanzhou 730030, ChinaSchool of Electrical Engineering, Northwest Minzu University, Lanzhou 730030, ChinaThis paper proposes a convex quadratic optimization commutation method to raise the equalization degree of power loss distribution of coil array for magnetic levitation planar motors. Starting with the modeling of electromagnetic forces/torques and commutation of coil array, the global power loss and the local power losses of coil array are analyzed, and the power loss equalizing degree is defined to evaluate the power loss distribution of coil array being commutated dynamically. Then, in consideration of the fact that the global power loss is the quadratic function of commutated coil currents, the convex quadratic function optimization with equality constraint and boundary constraints is applied to commutate the coil array, and the power loss equalizing degree is raised by decreasing the boundary constraints of optimization. Taking the magnetically levitated planar motor under investigation as examples and using quadprog routine in Matlab Optimization Toolbox, which is a dedicated quadratic optimization routine, it is verified that the power loss equalizing the degree of coil array is raised gradually and the power loss distribution of coil array becomes more uniform along with decrease of the boundary constraints. The convex quadratic optimization commutation is verified experimentally on a constructed multi-dimension force/torque measurement platform. Using the convex quadratic optimization commutation can not only improve the power loss distribution of coil array of magnetically levitated planar motors, but also make it possible to select lower capacity power amplifiers to produce the identical desired electromagnetic forces and torques.http://www.mdpi.com/2076-3417/9/1/79commutationpower loss equalizing degreeconvex quadratic optimizationboundary constraintmagnetic levitationplanar motor
collection DOAJ
language English
format Article
sources DOAJ
author Shengguo Zhang
Jingtao Huang
Jingxian Yang
spellingShingle Shengguo Zhang
Jingtao Huang
Jingxian Yang
Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors
Applied Sciences
commutation
power loss equalizing degree
convex quadratic optimization
boundary constraint
magnetic levitation
planar motor
author_facet Shengguo Zhang
Jingtao Huang
Jingxian Yang
author_sort Shengguo Zhang
title Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors
title_short Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors
title_full Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors
title_fullStr Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors
title_full_unstemmed Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors
title_sort raising power loss equalizing degree of coil array by convex quadratic optimization commutation for magnetic levitation planar motors
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2018-12-01
description This paper proposes a convex quadratic optimization commutation method to raise the equalization degree of power loss distribution of coil array for magnetic levitation planar motors. Starting with the modeling of electromagnetic forces/torques and commutation of coil array, the global power loss and the local power losses of coil array are analyzed, and the power loss equalizing degree is defined to evaluate the power loss distribution of coil array being commutated dynamically. Then, in consideration of the fact that the global power loss is the quadratic function of commutated coil currents, the convex quadratic function optimization with equality constraint and boundary constraints is applied to commutate the coil array, and the power loss equalizing degree is raised by decreasing the boundary constraints of optimization. Taking the magnetically levitated planar motor under investigation as examples and using quadprog routine in Matlab Optimization Toolbox, which is a dedicated quadratic optimization routine, it is verified that the power loss equalizing the degree of coil array is raised gradually and the power loss distribution of coil array becomes more uniform along with decrease of the boundary constraints. The convex quadratic optimization commutation is verified experimentally on a constructed multi-dimension force/torque measurement platform. Using the convex quadratic optimization commutation can not only improve the power loss distribution of coil array of magnetically levitated planar motors, but also make it possible to select lower capacity power amplifiers to produce the identical desired electromagnetic forces and torques.
topic commutation
power loss equalizing degree
convex quadratic optimization
boundary constraint
magnetic levitation
planar motor
url http://www.mdpi.com/2076-3417/9/1/79
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