FLC با منطق فازي SRM طراحي و ساخت كنترل كننده سرعت يك موتور رلكتانسي سوييچ شونده

Fuzzy Logic Control of a Switched Reluctance Motor

Because of extreme local saturation at pole tips of excited phase and uncircular shape of rotor and stator, a Swithed Reluctance Motor (SRM) does not have a simple and accurate mathematical model. Therefore, the output control of this motor requires a robust controller which is not based on an accurate model of the process. Fuzzy controllers, to some extent, will satisfy these requirements. Teta-on and teta-off are controller outputs. The output of teta-off controller is proportional to the speed error. For teta-on controller we consider three different structures. Teta-on controller is a Variable Structure Controller (VSC) which contains two parts: coarse controller which is used when the speed error is large and its output causes large changes in teta-on angle. This part of the controller is similar to a fuzzy PI controller. The other part of the controller is a fine controller and is used when the speed error is low. The fine controller increases the speed of response and reduces the speed error to zero. This part is similar to a fuzzy I or PI controller. Finally, experimental results of no-load and underload speed controls are demonstrated The fuzzy controller robustness to measurement noise and parameter uncertainty is also studied.