Paper Info
Title
An improved rotor speed estimation method of IPMSM drives with cyclic fluctuating load
Abstract
In order to estimate the speed fluctuation band of interior permanent magnet synchronous motor (IPMSM) under speed sensorless control with cyclic fluctuating load accurately, an improved rotor speed estimation method is proposed. A rotor flux oriented vector control with conventional model reference adaptive system (MRAS) based rotor position/speed estimation is employed as the basic control strategy for IPMSM drive. The finite element method (FEM)-based model of IPMSM is built by magnetic field analysis in JMAG software to obtain motor parameter variations caused by different phase currents and rotor position. These motor parameter variations are used in MRAS for precise speed fluctuation band estimation. Furthermore several motor output torque patterns matching the cyclic fluctuating load with feed-forward compensation strategy are developed to lower the speed ripple. Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed control methods, which shows that the error between actual speed fluctuation band and estimated speed fluctuation band is limited within a very low level.
Year
DOI
Venue
2012
10.1109/IECON.2012.6388724
Montreal, QC
Keywords
Field
DocType
speed sensorless control,feedforward,interior permanent magnet synchronous motor,phase currents,speed fluctuation band estimation,machine vector control,feedforward compensation strategy,model reference adaptive system,rotors,mras,load (electric),motor output torque patterns,control strategy,permanent magnet motors,rotor position estimation,finite element method,speed ripple,ipmsm drives,finite element analysis,motor parameter variations,improved rotor speed estimation method,sensorless machine control,fem-based model,rotor flux oriented vector control,compensation,magnetic field analysis,synchronous motor drives,angular velocity control,rotor speed estimation,magnetic fields,jmag software,cyclic fluctuating load,model reference adaptive control systems
Vector control,Squirrel-cage rotor,Wound rotor motor,Torque,Control theory,MRAS,AC motor,Direct torque control,Control engineering,Rotor (electric),Engineering
Conference
Volume
Issue
ISSN
null
null
1553-572X E-ISBN : 978-1-4673-2420-5
ISBN
Citations 
PageRank 
978-1-4673-2420-5
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Yuchao Shi1272.09
Kai Sun214320.27
Yan Guo300.34
XH Jiang401.35
Lipei Huang513111.71
Li Y.611715.14