Title :
A novel current derivative measurement using recursive least square algorithms for sensorless control of permanent magnet synchronous machine
Author :
Yu Duan ; Sumner, M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Nottingham, Nottingham, UK
Abstract :
The parasitic components of the VSI system cause high frequency oscillations in the motor current when an IGBT switches. To accomplish current derivative measurement for the position estimation using PWM voltage vector excitation, the one di/dt sample can be directly derived from the measurement of two motor current samples without sensors. In this paper, a proposed method is introduced, and which utilizes an advanced signal processing technique to estimate current samples during the oscillation period. With a robust and capable data acquisition system (FPGA/DSP), signal processing method can be implemented for the online current measurement, so the PWM excitation saliency tracking method can be definitely used to estimate the position without need of any additional di/dt sensors.
Keywords :
data acquisition; electric current measurement; least mean squares methods; permanent magnet machines; sensorless machine control; signal processing; synchronous machines; IGBT switch; PWM excitation saliency tracking method; PWM voltage vector excitation; VSI system; advanced signal processing technique; current derivative measurement; data acquisition system; high frequency oscillations; motor current samples; online current measurement; oscillation period; parasitic components; permanent magnet synchronous machine; position estimation; recursive least square algorithms; sensorless control; signal processing method; Current measurement; Oscillators; Pulse width modulation; Sensors; Switches; Vectors; Voltage measurement; DSP; FPGA; PWM; SMPMSM; SVPWM; Sensorless control; VSI; di/dt; recursive least square; saliency tracking;
Conference_Titel :
Power Electronics and Motion Control Conference (IPEMC), 2012 7th International
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-2085-7
DOI :
10.1109/IPEMC.2012.6259005