Name
Abstract | ||
|---|---|---|
Field-oriented control methodology requires knowledge of the machine parameters and, in particular, the rotor time constant. The interest here is in tracking the value of TR as it changes due to ohmic heating so that an accurate value is available to estimate the rotor flux linkages for a field-oriented controller. The approach presented here uses a nonlinear least-squares approach using measurements of the stator currents and voltages along with the rotor speed. The nature of this technique lends itself directly to an online implementation and therefore can be used to track the rotor time constant. Experimental results are presented to demonstrate the validity of the approach. Index Terms—Induction Motor, Rotor Time Constant, Pa- rameter Identification, Resultants I. INTRODUCTION The field-oriented control method provides a means to obtain high performance control of an induction machine for use in applications such as traction drives. This field- oriented control methodology requires knowledge of the machine parameters, and in particular the rotor time con- stant which can vary due to Ohmic heating. The problem is further complicated by the fact that rotor variables are not usually available for measurement. The induction motor parameters are M (the mutual inductance), LS,LR (the stator and rotor inductances), RS,RR (the stator and rotor resistances), J (the inertia of the rotor) which are required for field-oriented control. Standard methods for the estimation of induction motor parameters include the locked rotor test, the no-load test, and the standstill frequency response test. However, these approaches cannot be used online, that is, during normal operation of the machine. For example, field-oriented con- trol requires knowledge of the rotor time constant TR = LR/RR, which varies significantly due to ohmic heating to estimate the rotor flux linkages. The interest here is in tracking the value of TR as it changes due to ohmic heating. The approach presented here is a nonlinear least- squares method using measurements of the stator currents |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ACC.2005.1470383 | american control conference |
Keywords | DocType | ISSN |
nonlinear system identification,heating,testing,field oriented control,induction motors,voltage,nonlinear least squares,temperature control,couplings,time constant,ohmic heating | Conference | 0743-1619 |
Citations | PageRank | References |
1 | 0.54 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaiyu Wang | 1 | 32 | 5.26 |
| John Chiasson | 2 | 53 | 10.03 |
| Marc Bodson | 3 | 7 | 1.81 |
| Leon M. Tolbert | 4 | 302 | 55.38 |