Modified Evolutionary Computing for Parameter Identification of Three Phase Induction Motors

摘要

Dynamic model of a 3-Φ Induction motors is developed for parameter identification. An approach of extracting motor parameters from the experimental data using optimization algorithms is presented. Interactive Evolutionary Computing (IEC) is used as the optimization tool using different error models. Modification in IEC is implemented to improve the performance. Parameter identification of the motor is achieved and validated through comparison of the experimental and simulated speed torque characteristics.