Sag, TahirCunkas, Mehmet2020-03-262020-03-262007978-1-4244-0890-0https://hdl.handle.net/20.500.12395/21483Joint Conference on Electromotion/IEEE Aegean Conference on Electrical Machines and Power Electronics/ -- SEP 10-12, 2007 -- Bodrum, TURKEYIn order to simplify the offline identification of induction motor parameters, a method based on optimization using a multiobjective genetic algorithm is proposed. The non-dominated sorting genetic algorithm (NSGA-II) is used to minimize the error between the actual data and an estimated model. The robustness of the method is shown by identifying parameters of the induction motor in three different cases. The simulation results show that the method successfully estimates the motor parameters.eninfo:eu-repo/semantics/closedAccessmultiobjective genetic algorithminduction motorparameter estimationConference Object628631N/AWOS:000256943100109N/A