PSO for parametric identification of rotatory induction motors using experimental data with unknown time-delays

This paper deals with parametric identification for discrete-time α-ß model for three phase linear induction motors (LIM). This parametric identification is performed using the well-known PSO algorithm, using experimental data obtained from a real-time implementation on a LIM benchmark. Obtained parameters are validated using signal fitting for state variables, under presence of unknown disturbances and time-delays.

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