Sensorless Control of IPMSM Using Modified Current Slope Estimation Method

Tao Zhang; Wei Ni; Hui Ping Zhang; Sha Sha Wu

doi:10.4028/www.scientific.net/AMM.150.100

Paper Titles

Research on Adaptive Feedforward Control Algorithm of Electromagnetic Active Vibration Isolation System
p.80

Rotor Eddy Current Losses Analysis on BPMSM Using FEM
p.85

Self Adaptive Integral-Type Sliding Mode Control for Supporting Structure of a Magnetic Vertical Axis Wind Turbine
p.90

Sensorless Control of IPMSM Using Extended Flux Estimation Method
p.95

Sensorless Control of IPMSM Using Modified Current Slope Estimation Method
p.100

System Identification Based on Recursive Least Square Method for the Magnetic Suspension Active Vibration Isolation System
p.105

The Impact Analysis of Digital Controller Hardware Parameters of AMB on Control Precision
p.111

Analysis of a Comprehensive Example of Numerical Control Machining
p.119

Analysis of Impact of Substation Grounding on Power Network
p.125

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 150Sensorless Control of IPMSM Using Modified Current...

Sensorless Control of IPMSM Using Modified Current Slope Estimation Method

Abstract:

When the permanent magnet synchronous motor is operated at a low speed. The rotor position and speed are very difficult to estimate using the extended flux or back EMF method. A novel modified current slope estimating method is used to estimate the rotor position and speed in low speed in this paper. The mathematical models of an interior permanent magnet synchronous motor (IPMSM) are deduced. The basic principle of modified current slope method is introduced. The simulation control system is built based on Matlab and a TMS320LF2407 digital signal processor is used to execute the rotor position and speed estimation. The experimental and simulation results have shown that the rotor position and speed can be accurately estimated in a low-speed operating region.

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Periodical:

Applied Mechanics and Materials (Volume 150)

Pages:

100-104

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.150.100

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Online since:

January 2012

Authors:

Tao Zhang, Wei Ni, Hui Ping Zhang, Sha Sha Wu

Keywords:

Motor, Permanent Magnet Synchronous Motor (PMSM), Position Estimation, Sensorless

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