METHOD FOR ESTIMATING INDUCTANCE PROFILE OF SRM USING ANFIS HAVING EXCELLENT PERFORMANCE FOR NONLINEAR COMPONENT ESTIMATION

PURPOSE: A method for estimating an inductance profile of an SRM(Switched Reductance Motor) using an ANFIS(Adaptive Neuro-Fuzzy Inference System) having excellent performance for nonlinear component estimation is provided to precisely estimate the inductance profile of the SRM for continuous current, and rotor position angles from limited sample data by using the ANFIS. CONSTITUTION: Multiple Fuzzy estimation rules comprising a Takagi-Sugeno type are formed by setting multiple applied current and rotor position angles as a Fuzzy set. An antecedent parameter and a consequent parameter are estimated by using a hybrid learning algorithm for each Fuzzy estimation rule of each applied current and rotor position angle. The inductance parameter of the SRM is calculated by applying the estimated antecedent/consequent parameter to an operation process of each layer forming the ANFIS.