Abstract
In this paper a fundamental control issue in switched reluctance motor (SRM), the torque ripples, is addressed. Normally, torque ripple minimization is achieved by using a look-up tables, i.e., the look-up table uses stored magnetic characteristics to provide the reference current, on-angle, and off-angle for a given torque. Due to highly nonlinear characteristics of the SRM, all the techniques suggested in the past to minimize torque ripples are not fully successful. Moreover, their performance depends greatly on the accuracy of the magnetic characteristics measurements of the motor on which most of these algorithms work. In this work the reference phase current tern is modulated with the aid of fuzzy logic, which is well suited to compensate for the nonlinearities the system, so that the torque ripples are further suppressed. Performance of the proposed strategy is verified by computer simulation.
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Jalili-Kharaajoo, M. (2004). Fuzzy Logic Based Torque Ripple Minimization in Switched Reluctance Motors. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_35
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DOI: https://doi.org/10.1007/978-3-540-25945-9_35
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