Optimization of Observer Feedback Gains for Stable Sensorless IM Drives at Very Low Frequencies: A Comparative Study between GA and PSO

Instability of an adaptive flux observer (AFO) in the regenerating mode at low frequencies is a great challenge sensorless induction motor (SIM) drives. Zero feedback gains (OFGs) are main reasons for moving dominant zero speed estimators to unstable region. OFGs should be appropriately selected transfer stable In this paper, genetic algorithm (GA) and particle swarm optimization (PSO) techniques were used design observer. A fair comparison location between two approaches using optimized presented under parameter deviation. Analytical results procedure deviations stator resistance mutual inductance guarantee IM. The zeros obtained by PSO had superior that GA both deviations. It was observed one almost constant value over wide range However, other gain dependent on deviation machine parameters. advantage relation can represented deterministic mostly linear relationship. Simulation experimental work SIM drive evaluated OFGs.