TY - GEN
T1 - Induction motor parameters identification using genetic algorithms for varying flux levels
AU - Kampisios, Konstantinos
AU - Zanchetta, Pericle
AU - Gerada, Chris
AU - Trentin, Andrew
AU - Jasim, Omar
PY - 2008
Y1 - 2008
N2 - This paper describes a novel approach for identifying induction motor electrical parameters in function of flux levels 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 and simulation model responses. An accurate and fast estimation of the electrical motor parameters is performed by running a number of optimizations using experimental tests taken under different operating conditions (flux level). 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 describes a novel approach for identifying induction motor electrical parameters in function of flux levels 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 and simulation model responses. An accurate and fast estimation of the electrical motor parameters is performed by running a number of optimizations using experimental tests taken under different operating conditions (flux level). 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=56549086574&partnerID=8YFLogxK
U2 - 10.1109/EPEPEMC.2008.4635379
DO - 10.1109/EPEPEMC.2008.4635379
M3 - Conference contribution
AN - SCOPUS:56549086574
SN - 9781424417421
T3 - 2008 13th International Power Electronics and Motion Control Conference, EPE-PEMC 2008
SP - 887
EP - 892
BT - 2008 13th International Power Electronics and Motion Control Conference, EPE-PEMC 2008
T2 - 2008 13th International Power Electronics and Motion Control Conference, EPE-PEMC 2008
Y2 - 1 September 2008 through 3 September 2008
ER -