Performance analysis of adaptive fuzzy logic controller for switched reluctance motor drive system

This paper presents the application of adaptive fuzzy algorithm for die speed control of switched reluctance motor (SRM) SRM is a highly nonlinear control plant and operates in saturation to maximize the torque output, A systematic approach to the modeling of highly nonlinear SRM drive system which Includes the motor, converter, and its electronic controller is presented. Hysteresis current controlled mid-point converter is used to feed a 4kW, Four phase, 8/6 pole SRM. Nonlinearity caused by magnetic saturation is accounted for accurate and real-time simulation of drive performance by considering experimental data of magnetization and static torque characteristics. Performance analysis of SRM drive is reported for a wide range of operating conditions viz starting, reversal and load perturbation dynamics. The performance indices of SRM drive system operating with fuzzy logic controller are compared with the conventional controller to highlight the merits and limitations of fuzzy logic controller.