Optimal parameter estimation of permanent magnet synchronous motor by using Mothflame optimization algorithm / Abdolmajid Dejamkhooy and Sajjad Asefi

Precision of model parameters is vital in a
permanent magnet synchronous motor high performance and
controllability. Since these parameters are affected by different
operation conditions and load changings, then an accurate
estimation strategy is quite necessary. In this paper, stator
resistance and disturbed load torque, which assumed to be
variable, are estimated. For this purpose, optimal parameter
estimation problem is constructed as a least squares one. In the
next step, the parameter identification as an optimization
problem is solved by Moth-flame optimization, which is a novel
nature-inspired heuristic algorithm. Simulation results and their
comparison with Particle Swarm Optimization based method
show high performance and good ability of the proposed method
in PMSM parameter estimation.