Switched Reluctance Motor Sensorless Fed by Photovoltaic System Based on Adaptive PI Controller

This paper presents the application of adaptive algorithm for the speed control of Switched
Reluctance Motor (SRM) with load series DC machine. This system is feeding by Photovoltaic (PV)
system. 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 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 via starting, reversal and load perturbation
dynamics the performance indices of SRM drive system operating with adaptive controller for speed
control and using the PI classical controller turn on angle for starting operation (dynamic operation).
The results illustrate that the approach used are suitable for dynamic analysis and steady state of
SRM fed from a PV system. It ensures smooth starting without initial hesitation and reduce the
torque ripples. This proposed is explain the comparison between two technique for SRM (four
phases) control system. First controller is adaptive speed control and the second controller is
adaptive torque control.