TY - GEN
T1 - Identification of induction machine electrical parameters using genetic algorithms optimization
AU - Kampisios, Konstantinos
AU - Zanchetta, Pericle
AU - Gerada, Chris
AU - Trentin, Andrew
PY - 2008
Y1 - 2008
N2 - This paper introduces a new heuristic approach for identifying induction motor equivalent circuit parameters based on experimental transient measurements from a vector controlled Induction Motor (I.M.) drive and using an off line Genetic Algorithm (GA) routine with a linear machine model. The evaluation of the electrical motor parameters is achieved by minimizing the error between experimental responses (speed or current) measured on a motor drive and the respective ones obtained by a simulation model based on the same control structure as the experimental rig, but with varying electrical parameters. An accurate and fast estimation of the electrical motor parameters is so achieved. Results are verified through a comparison of speed, torque and line current responses between the experimental IM drive and a Matlab-Simulink model.
AB - This paper introduces a new heuristic approach for identifying induction motor equivalent circuit parameters based on experimental transient measurements from a vector controlled Induction Motor (I.M.) drive and using an off line Genetic Algorithm (GA) routine with a linear machine model. The evaluation of the electrical motor parameters is achieved by minimizing the error between experimental responses (speed or current) measured on a motor drive and the respective ones obtained by a simulation model based on the same control structure as the experimental rig, but with varying electrical parameters. An accurate and fast estimation of the electrical motor parameters is so achieved. Results are verified through a comparison of speed, torque and line current responses between the experimental IM drive and a Matlab-Simulink model.
KW - Genetic algorithms
KW - Induction motor drives
KW - System identification
KW - Vector control
UR - http://www.scopus.com/inward/record.url?scp=57949109818&partnerID=8YFLogxK
U2 - 10.1109/08IAS.2008.165
DO - 10.1109/08IAS.2008.165
M3 - Conference contribution
AN - SCOPUS:57949109818
SN - 9781424422791
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
BT - 2008 IEEE Industry Applications Society Annual Meeting, IAS'08
T2 - 2008 IEEE Industry Applications Society Annual Meeting, IAS'08
Y2 - 5 October 2008 through 9 October 2008
ER -