Chaotic Ant Swarm Based Parameter Estimation of Induction Motor from Manufacturer Data
Yan-jie Li, Zhu-zhi Jia
Available Online April 2013.
- https://doi.org/10.2991/icsem.2013.40How to use a DOI?
- Chaotic Ant Swarm Algorithm, Induction Motor, Parameter Estimation
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yan-jie Li AU - Zhu-zhi Jia PY - 2013/04 DA - 2013/04 TI - Chaotic Ant Swarm Based Parameter Estimation of Induction Motor from Manufacturer Data BT - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) PB - Atlantis Press SP - 200 EP - 204 SN - 1951-6851 UR - https://doi.org/10.2991/icsem.2013.40 DO - https://doi.org/10.2991/icsem.2013.40 ID - Li2013/04 ER -