Dynamic Regressor Extension and Mixing-Based Parameter Estimation for Permanent Magnet Linear Synchronous Machines Considering Parameter Asymmetry

Parameter asymmetry caused by the end effect of permanent magnet linear synchronous machines (PMLSMs) introduces disturbance to the parameter estimation for PMLSMs. Accordingly, a full parameter estimation method considering parameter asymmetry is proposed in this paper. The linear regression equations for parameter estimation are modified based on the machine equation considering asymmetry. Then dynamic regressor extension and mixing is adopted to achieve full parameter estimation, and the conditions for estimation are proved. The simulation results verify the effectiveness and accuracy of the proposed method.