closed loop systems;
control system synthesis;
electric current control;
electric current measurement;
electric drives;
finite element analysis;
inductance measurement;
invertors;
machine control;
magnetic flux;
permanent magnet machines;
stators;
synchronous machines;
decoupled daEuro"q model;
double-star permanent-magnet synchronous machine;
model-based control design;
electric drive;
stator resistance;
three-phase PM machine;
phase-variable inductance waveform;
flux linkage;
finite-element analyses;
voltage-source inverter;
rotor position;
current measurement;
VSI;
current control;
voltage-equation-based method;
model-based closed-loop controller;
INDUCTION-MOTOR DRIVES;
AC MACHINES;
IDENTIFICATION;
3-PHASE;
WINDINGS;
AXIS;
D O I:
10.1049/iet-epa.2013.0195
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Analytical models are the key tools in the model-based control design of electric drives. The inductances together with the stator resistance are the fundamental parameters of these models. In this study three methods to determine the inductances of the decoupled d-q model of double-star permanent-magnet (PM) synchronous machines are studied. These methods have commonly been used to determine the inductances of conventional three-phase PM machines. Two of the evaluated methods are based on the phase-variable inductance waveforms and flux linkages and are thus analysed with finite-element analyses only. The third method, based on the analytical stator voltage equations, can be applied straightforwardly with the real drive system supplied with voltage-source inverters (VSIs). This method requires only the knowledge of the rotor position and the existing current measurements of the VSIs that are used for the current control. Experimental results are provided to verify the applicability of the voltage-equation-based method to determine the inductances. On the average, the presented methods provide similar values, but also some discrepancies between the obtained values can be observed. The measured inductance parameters are validated using model-based closed-loop controllers.