Real time estimation of parameters for controlling and monitoring permanent magnet synchronous motors

In permanent magnet synchronous motor (PMSM) drives, accurate knowledge of machine parameters has advantage in its control and/or monitoring its condition. This paper provides an adaptation method to determine the machine parameters. The machine's phase resistance, phase inductance and back-emf constant are updated continuously. The online adaptation helps tracking any dynamic change in the motor parameters due to environmental, aging and loading condition. The motor parameters used in the controller can be updated to enhance the performance. This method can also be used for end of line motor parameter calibration in mass production and condition monitoring of drive systems. The method eliminates the need for a priori knowledge of the machine parameters making the controller robust for high performance operation. Simulation and experiment demonstrate the validity and usefulness of the proposed algorithm for PMSM drive.