DocumentCode
2915630
Title
A predictive torque control for the synchronous reluctance machine taking into account the magnetic cross saturation
Author
Pacas, Mario ; Morales, Roberto
Author_Institution
Inst. of Power Electron. & Electr. Drives, Siegen Univ., Germany
fYear
2005
fDate
6-10 Nov. 2005
Abstract
A predictive torque and flux control algorithm for the synchronous reluctance machine is presented in this paper. The algorithm realizes a voltage space phasor pre-selection, followed by the computation of the switching instants for the optimum switching space phasors, with the advantages of inherently constant switching frequency and time equidistant implementation on a DSP based system. The criteria how to choose the appropriate voltage space phasor depend on the state of the machine and the deviations of torque and flux at the end of the cycle. In order to obtain an appropriate model of the machine, it has been developed on a d-q frame of coordinates attached to the rotor and takes into account the magnetic saturation in both d-q axes and the cross saturation between both axes. Therefore, the torque dynamic is improved and its ripple is reduced. Simulated and experimental results using a DSP and a commercially available machine show the validity of the proposed control scheme.
Keywords
digital signal processing chips; machine control; magnetic variables control; reluctance machines; rotors; torque control; DSP; d-q axes; flux control; machine state; magnetic cross saturation; predictive torque control; rotor; switching space phasor; synchronous reluctance machine; torque ripple; voltage space phasor; Digital signal processing; Induction machines; Magnetic flux; Power electronics; Reluctance machines; Saturation magnetization; Steady-state; Switching frequency; Torque control; Zero voltage switching;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE
Print_ISBN
0-7803-9252-3
Type
conf
DOI
10.1109/IECON.2005.1569113
Filename
1569113
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