| Abstract |
In advanced motor control system, an accurate
knowledge of motor parameters is essential in order to achieve a
good performance. Some of these parameters, such as stator
resistance are given by constructors, but they vary in different
operating conditions.
The purpose of this paper is to present an efficient dynamical
identification method to estimate parameters of a Permanent
Magnet Synchronous Machine (PMSM). Using this method, we
can determine these parameters during different operating
conditions. This method has been simulated and implemented in
an experimental test bench using a dSpace board and obtained
results proved the validity and efficiency of the proposed
method.
Physical parameters estimation of a dynamical 3-parameter
model thanks to dynamical measurements is performed using an
Output Error algorithm based on non linear optimisation.
Simulations results show that, if PMSM is fed by a PWM
inverter, no extra-signal, such as a Pseudo Random Binary
Sequence (PRBS), adding on speed reference in vector control
of PMSM, is necessary to excite the machine to assure
identification algorithm convergence.
Indeed an extra-signal can be considere as a disturbance in
respect to the machine running. |
