Fuzzy Adaptive Internal Model Control Schemes for Pmsm Speed-Regulation System

Abstract

In this paper we are regulate the speed of permanent magnet synchronous motor (PMSM) system is based on vector control. The speed of PMSM is based on Internal Model Control (IMC) method is designd. The internal model controller is designed based on a first order model of PMSM by analyzing the relationship between reference quadrature axis current and speed. For the control of two current loops by using of PI controllers. The disadvantages of standard IMC method is sensitive to control input saturation and may lead to poor speed control and  load disturbance rejection performances. More ever  the modified IMC scheme is developed based on a two port IMC method, where a feed back control action is added to form a adaptive IMC schemes with different adaptive laws are proposed. The method of control  of modified IMC method is based on disturbance observer is adopted to identify the inertia of PMSM and its load. Then a linear adaptive law is developed by analyzing the relationship between the internal model and identified inertia.  For Considering the control input saturation in practical applications, a fuzzy adaptive law based IMC scheme is developed based on apriori simulation tests, where a fuzzy inferencer based supervisor is designed to automatically tune the parameter of speed controller according to the identified inertia. The effectiveness of the proposed methods have been verified by Matlab simulation results.