A fuzzy logic based current modulation for torque ripple minimization in switched reluctance motors

This paper deals with a fundamental control issue in switched reluctance motor (SRM) drives - the torque ripples. Normally, torque ripple minimization is achieved by using a look-up table, i.e., the look-up table uses stored magnetic characteristics to provide the reference current. A number of techniques for the generation of reference current profiles that minimize the torque ripples have been suggested. But because of highly nonlinear characteristics of the SRM, all these schemes are not fully successful. Our work deals with a novel algorithm for generation of current waveforms by iterative modulation of the reference current pattern by using a gain for minimizing the torque ripple. This gain is computed with the aid of fuzzy logic, which is well suited to compensate for the nonlinearities of the system. Simple two-phase-on current scheme is used for the study. Performance of the proposed strategy is verified by simulation.

[1]  H. Wilfried,et al.  Fuzzy logic-based control of flux and torque in AC-drives , 1992, [Proceedings 1992] The First IEEE Conference on Control Applications.

[2]  S. Peresada,et al.  Feedback linearizing control of switched reluctance motors , 1987 .

[3]  Sanjib Kumar Panda,et al.  A CURRENT MODULATION SCHEME FOR DIRECT TORQUE CONTROL OF SWITCHED RELUCTANCE MOTOR USING FUZZY LOGIC , 2000 .

[4]  Giuseppe Buja,et al.  Variable structure control of an SRM drive , 1993, IEEE Trans. Ind. Electron..

[5]  J. Corda,et al.  Variable-speed switched reluctance motors , 1980 .

[6]  J. C. Moreira,et al.  Torque ripple minimization in switched reluctance motors via bi-cubic spline interpolation , 1992, PESC '92 Record. 23rd Annual IEEE Power Electronics Specialists Conference.

[7]  L X Wang,et al.  Fuzzy basis functions, universal approximation, and orthogonal least-squares learning , 1992, IEEE Trans. Neural Networks.

[8]  D.G. Taylor,et al.  An experimental study on composite control of switched reluctance motors , 1991, IEEE Control Systems.

[9]  Sanjib Kumar Panda,et al.  Application of nonlinear control to switched reluctance motors: a feedback linearisation approach , 1996 .

[10]  Juan Luis Castro,et al.  Fuzzy logic controllers are universal approximators , 1995, IEEE Trans. Syst. Man Cybern..

[11]  Sanjib Kumar Panda,et al.  An Iterative Learning-Based Modulation Scheme for Torque Control in Switched Reluctance Motors , 2000 .

[12]  Barry W. Williams,et al.  Switched reluctance motor control via fuzzy adaptive systems , 1995 .

[13]  John Y. Hung Torque ripple minimization for variable reluctance motors , 1994 .

[14]  Corrado Guarino Lo Bianco,et al.  Modeling and control strategies for a variable reluctance direct-drive motor , 1993, IEEE Trans. Ind. Electron..