Parameter optimization for sensorless position and speed control of permanent magnet motor at low speed using genetic algorithm

The optimization of injected high frequency voltage signal is complicated for position and speed sensorless control of permanent magnet machine at low speed. This is due to presence of non linearities and uncertainties in the sensorless control system. In this paper, we propose an optimization method based on genetic algorithm that can optimize the two parameters associated with high frequency voltage signal; namely injected frequency and injected voltage. A highly accurate finite element based phase variable model is utilized for the machine model. The results verify that dynamic and steady state characteristics of position and speed estimation can be improved using optimization method based on genetic algorithm.