Chaotic Ant Swarm Based Parameter Estimation of Induction Motor from Manufacturer Data

Abstract:

A method of parameter estimation of induction motor based on optimization using a chaotic swarm algorithm is presented. The parameter estimation methodology describes a method for estimating the steady-state equivalent circuit parameters from the motor performance characteristic, which is normally available from manufacturer data or from tests. The optimization problem is formulated as multi-objective function to minimize the error between the estimated and the manufacturer data. Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. A numerical simulation on the test motor is conducted. Simulation results show that the proposed method is effective in parameter estimation of the induction motor.

• Periodical: Applied Mechanics and Materials (Volumes 341-342)
• Pages: 1403-1407
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.341-342.1403
• Online since: July 2013
• Authors: Yan Jie Li, Zhu Zhi Jia
• Keywords: Chaotic Ant Swarm Algorithm, Induction Motor (IM), Parameter Estimation

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