earticle

영어

For a large variety of Industrial applications dc motors are being used. The common requirement of the drives in industries is speed control under varying operating conditions. In several research studies, the controllers have been considered without modeling of final control element (FCE). In practical applications, the effect of dynamics and nonlinearity of FCE affects the performance of the system, so it is necessary to consider these for a dependable simulation study of the drive performance. The overall system becomes non-linear due to the dynamics of converter used as FCE. In this study a new approach is being used, first the transfer function of the buck converter is obtained by considering a small linear region near the operating point, then using overall transfer function of buck converter and dc motor, the PID settings are obtained. Now fuzzy logic is used to update these settings on-line corresponding to the changes that may occur in system operating conditions. This configuration of controller is also observed to have robust performance against parameter variations and uncertainties. For more close to actual performance evaluation PWM controlled buck converter, used as FCE has been simulated using sim-power system library of MATLAB. The comparative results are presented with PID and fuzzy adaptive PID control strategies implemented, for both types of control situations i.e. tracking speed control and load disturbance rejection and the strength of approach is demonstrated.