To properly design and optimize a control system of a permanent-magnet (PM) machine, the machine model and its parameters must be known. This study presents a method for developing a model and estimating the parameters of a PM machine from standstill time-domain step response data. A dq-axis equivalent circuit model with a general number of damper windings is defined to describe the behavior of the PM machine. Standstill simulation studies were performed on a known PM machine to generate synthetic test data to be used for estimation procedure verification. The stand-still dq-axis model is subjected to a step-input signal and the resulting output is used for parameter estimation. The output-error estimation algorithm is used to estimate the unknown parameters of the dq-axis model. Stand-still tests were then performed on a 4 pole, 1 kW PM machine to obtain data. The PM machine parameters were estimated and the model verified against experimental input and output test data.
[1]
O. Wasynczuk,et al.
Electromechanical Motion Devices
,
1989
.
[2]
T. Sebastian,et al.
Transient modeling and performance of variable-speed permanent-magnet motors
,
1989
.
[3]
Ali Keyhani,et al.
Maximum likelihood estimation of synchronous machine parameters and study of noise effect from DC flux decay data
,
1992
.
[4]
G. Slemon,et al.
Modelling of permanent magnet synchronous motors
,
1986
.
[5]
P. Viarouge,et al.
Modelling and identification of permanent magnet synchronous machines from standstill time response tests using a non-linear method
,
1993,
Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.