Title :
Optimised methodology for stepper motor simulation
Author :
Neamt, Liviu ; Matei, Oliviu ; Chiver, Olivian
Author_Institution :
Electron. & Comput. Eng. Dept., Tech. Univ. of Cluj-Napoca, Baia Mare, Romania
Abstract :
The paper presents the effort of the authors to minimize the computational time and resources brought in electrical machines conception, design and analyses. The proposed methodology is a mixture between Finite Element Analysis and neural network interpretation of resulting data, with important conclusions about the minimum number of inputs asked by the desired accuracy. The methodology is illustrated on stepper motor due to its important place in positioning systems, computer and peripherals architecture, electric vehicles and because its significant interest in researcher´s works.
Keywords :
finite element analysis; neural nets; reluctance motors; stepping motors; electrical machines; finite element analysis; neural network; stepper motor simulation; Biological neural networks; Neurons; Reluctance motors; Rotors; Torque; Training; finite element method; neural network; switched reluctance motor;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-7992-9
DOI :
10.1109/EEEIC.2015.7165315