Minimization of torque ripple in switched reluctance machine for direct drive applications

A major problem of switched reluctance motors (SRM) is the torque ripple, which causes undesirable acoustic noise and vibration. If 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 produced by a standard 8/6 pole, 4 phase, 1 KW, 100 V, 25 A.1500 rpm SRM. The obtained results are encouraging and verified using finite element analysis (FEA).

[1]  Iqbal Husain,et al.  Minimization of torque ripple in SRM drives , 2002, IEEE Trans. Ind. Electron..

[2]  J. F. Lindsay,et al.  Design Procedure for Switched Reluctance Motors , 1986, 1986 Annual Meeting Industry Applications Society.

[3]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[4]  T. S. Low,et al.  Numerical design and analysis of switched reluctance motors , 2002 .

[5]  T. J. E. Miller Optimal design of switched reluctance motors , 2002, IEEE Trans. Ind. Electron..

[6]  T.J.E. Miller,et al.  Nonlinear theory of the switched reluctance motor for rapid computer-aided design , 1990 .

[7]  R. Krishnan,et al.  Analytical prediction of SRM inductance profile and steady-state average torque , 1990, Conference Record of the 1990 IEEE Industry Applications Society Annual Meeting.

[8]  J. Corda,et al.  Computation and experimental determination of running torque waveforms in switched-reluctance motors , 1993 .

[9]  Timothy J. E. Miller,et al.  Switched Reluctance Motors and Their Control , 1993 .

[10]  Irfan Hussain,et al.  A comprehensive design methodology for switched reluctance machines , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[11]  P. Brochet,et al.  Optimization of switched reluctance motors using deterministic methods with static and dynamic finite element simulations , 1998 .