Title :
Optimum Pole Arcs for Switched Reluctance Machine with Reduced Ripple
Author :
Naayagi, R.T. ; Kamaraj, V.
Author_Institution :
Dept. of Electr. & Electron. Eng., Sri Venkateswara Coll. of Eng., TamilNadu
Abstract :
A major problem of switched reluctance motors (SRM) is the torque ripple, which causes undesirable acoustic noise and vibration. It is caused by saliency of the stator and rotor. In this paper, a novel method on the basis of genetic algorithm (GA) is proposed to reduce the torque dip, thereby reducing the associated torque ripple, with simultaneous increase in torque output using GA, by maximizing the flux linkage and inductance ratio and the results are compared with that of a standard 8/6 pole, 4 phase, 1 KW, 100 V, 25 A, 1500 rpm SRM. The simulation results obtained are very encouraging and co-verified using finite element analysis (FEA)
Keywords :
arcs (electric); finite element analysis; genetic algorithms; inductance; magnetic flux; reluctance motors; rotors; stators; torque; 1 kW; 100 V; 25 A; FEA; SRM; acoustic noise; finite element analysis; flux linkage; genetic algorithm; inductance; optimum pole arcs; ripple reduction; rotor saliency; stator saliency; switched reluctance machine; torque dip reduction; torque ripple; vibration; Acoustic noise; Analytical models; Couplings; Genetic algorithms; Inductance; Reluctance machines; Reluctance motors; Rotors; Stators; Torque; Finite Element Analysis (FEA); Genetic Algorithm (GA); Switched Reluctance Machine (SRM); Torque Ripple Minimization;
Conference_Titel :
Power Electronics and Drives Systems, 2005. PEDS 2005. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-9296-5
DOI :
10.1109/PEDS.2005.1619787
