Adaptive Observer of Magnetic Flux for a Nonsalient-pole Permanent Magnet Synchronous Motor

In this paper a new algorithm for the synthesis of a magnetic flux observer for a nonsalient-pole permanent magnet synchronous motor is presented. The following assumptions are made: some electrical parameters of the motor (the resistance and inductance of the stator) are known and constant, the current and voltage of motor are measurable. The proposed approach to observer synthesis is based on the use of trigonometric properties and linear filtering properties that allow to conduct a standard regression model consisting of measurable time-varying functions and unknown components of the magnetic flux. It is proved that the proposed observer provides global exponential convergence of estimation errors to zero. To verify the correct operation of the obtained observer simulation is performed in the MATLAB environment for various load moments of the motor.