Modeling of the inductance variation and control of the Switched Reluctance Motor based on fuzzy logic


Bay Ö. F., Elmas Ç.

INTELLIGENT AUTOMATION AND SOFT COMPUTING, vol.10, no.3, pp.233-246, 2004 (SCI-Expanded) identifier identifier

Abstract

Switched Reluctance Motors (SRMs) are increasingly popular machines in electrical drives, whose performances are directly related to their operating conditions. Their dynamic characteristics vary as conditions change. Recently, several methods of the modeling of the magnetic saturation of SRMs have been proposed as analytical functions. However, the SRM system is non-linear and cannot be adequately described by such models. Fuzzy Logic (FL) is known that might overcome this problem.