The Switched reluctance machine (SRM) can be operated as a motor/generator which is the subject of interest by many researchers in the field of electrical machines for the last few decades. Many research papers have concluded that Switched Reluctance Generator (SRG) has proved to be a valid alternative to the classical generators in many industrial applications especially in the field of wind energy generation system. The magnetization characteristics of the SRM is highly non-linear making the flux linkage and torque as the non-linear functions of both the current (Iph) and rotor position (). Establishing this high precision nonlinear mapping between L (/,), current (Iph) and rotor position () are the base to model the machine accurately for the analysis and control of any SRG system. The generating or motoring mode of operation of the machine depends greatly on the value of rising or falling inductance. Hence it needs to be modeled more accurately for the practical applications.
This paper presents a fuzzy logic based modeling technique for building the Non-linear inductance model of a Switched reluctance Machine (SRM). Fuzzy inference system (FIS) is built and used for the nonlinear inductance calculation by using the data set from the magnetization characteristics of a 6/4 pole SRM. Fuzzy logic technique is greatly suited to model general non linear mapping between input and output spaces. In this paper, a computationally efficient inductance model for SRM is developed. SRM Model for the phase Inductance L(/, ) using FIS has been successfully arrived, tested and presented for various values of phase currents(lph) and rotor positions () of a non linear SRM. It is observed that fuzzy logic technique is suitable for Inductance L (/,) modeling of SRM which is tested to be in good agreement with the training data used for modeling.
Keywords: Non-linear inductance model, Fuzzy logic technique, Switched reluctance machine (SRM).
|