| Abstract |
A very accurate mathematical model of a high performance three phase permanent magnet motor
adjustable speed drive (ASD) system, including interaction with the servoamplifier power
conditioner, based on physical principles is presented. The resultant discrete time model is used to
simulate the dynamics and pulsewidth modulation (PWM) inverter control, with converter blanking,
of the brushless motor drive (BLMD) for parameter identification in adaptive control. This model can
also be used as a valuable simulation tool in performance related prediction studies for proposed
embedded drive systems. Numerical waveform simulation at critical model observation nodes gave
excellent agreement in terms of correlation with BLMD experimental test data for model fidelity
purposes. Simulated trace coherence with typical drive test data, relying on stator winding current
feedback possessing frequency modulation attributes, validates and attests to the accuracy of the
model which is an essential feature of the system identification process. Cost surface simulation, as
means of motor parameter identification based on the mean squared error (MSE) between the
experimental and simulated observed variables, provides insight into the location of the global
minimizer and thus an estimate of the optimal dynamical parameters. The returned parameter
estimates are almost identical to those for known inertial shaft loads which provides further BLMD
model confidence. |
