Adaptive neuro-fuzzy controller of switched reluctance motor

Adaptive Neuro-Fuzzy Controller of Switched Reluctance Motor

This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks. An adaptive neuro-fuzzy controller of the motor speed is then designed and simulated. Digital simulation results show that the designed ANFIS speed cont...

Fuzzy Controller of Switched Reluctance Motor

Fuzzy logic or fuzzy set theory is recently getting increasing emphasis in process control applications. This paper presents an application of fuzzy logic control (FLC) for switched reluctance motor (SRM) speed. The (FLC) technique finds its stronger justification in the utilization of a robust control law to model uncertainties. A fuzzy logic controller of the motor speed is then designed and ...

Speed Control of Switched Reluctance Motor Using an Adaptive Neuro-fuzzy Controller

This paper presents an adaptive neuro-fuzzy controller (ANFC) for the switched reluctance motors (SRM). The proposed controller is used for speed control of this type of motors. The dynamic response of the SRM with the proposed controller is studied during the starting process and under different disturbances. The effectiveness of the proposed ANFC is then compared with that of the conventional...

Sliding Controller of Switched Reluctance Motor

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. Tet...