Detail publikace

Identification of the induction motor parameters based on the acceleration method

Originální název

Identification of the induction motor parameters based on the acceleration method

Anglický název

Identification of the induction motor parameters based on the acceleration method

Jazyk

en

Originální abstrakt

The paper deals with identification of the equivalent circuit parameters of the induction motor. The identification has been done by comparison of measured torque and current characteristics and computed torque and current characteristics. Equivalent circuit of the induction motor has been used in form of the Gamma-circuit. There is computed the dependency of the leakage inductance and the rotor resistance on the slip. For exact identification of the motor parameters has been used the genetic algorithm.

Anglický abstrakt

The paper deals with identification of the equivalent circuit parameters of the induction motor. The identification has been done by comparison of measured torque and current characteristics and computed torque and current characteristics. Equivalent circuit of the induction motor has been used in form of the Gamma-circuit. There is computed the dependency of the leakage inductance and the rotor resistance on the slip. For exact identification of the motor parameters has been used the genetic algorithm.

BibTex


@inproceedings{BUT74574,
  author="Radoslav {Cipín} and Miroslav {Patočka}",
  title="Identification of the induction motor parameters based on the acceleration method",
  annote="The paper deals with identification of the equivalent circuit parameters of the induction motor. The identification has been done by comparison of measured torque and current characteristics and computed torque and current characteristics. Equivalent circuit of the induction motor has been used in form of the Gamma-circuit. There is computed the dependency of the leakage inductance and the rotor resistance on the slip. For exact identification of the motor parameters has been used the genetic algorithm.",
  address="IEEE",
  booktitle="Proceedings of the 9th IEEE International Conference on Power Electronics and Drive Systems",
  chapter="74574",
  howpublished="online",
  institution="IEEE",
  year="2011",
  month="december",
  pages="1--6",
  publisher="IEEE",
  type="conference paper"
}