Estimação de fluxo magnético em máquinas assíncronas utilizando filtro de Kalman.

Abstract

This paper aims to make a contribution to the study of application of stochastic magnetic flux estimation techniques in drive systems with asynchronous machines. Develops therefore the Kalman discrete filter algorithm so as to estimate the statistical and rotoric flows from the knowledge of the dynamic model of the system and the measurement of statistical currents and machine speed. Analyzes are stochastic modeling of the machine, introduction of analogue filtering in the stator currents, alternative formulations with increasing system order and computational effort associated with algorithm resolution. Are procedures and indices for assessing statistical consistency of the estimated variables. Finally, an adaptive filtering technique for prevention divergence and obtaining the statistical consistency of estimator.