Adaptive Neuro-fuzzy Controller for Multi-layered 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...

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...

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 ...

Sliding Controller of Switched Reluctance Motor

Genetic Neuro Controller Based Direct Torque Control for Switched Reluctance Motor Drive

Direct torque control (DTC) of Switched reluctance motor is known to have simple control structure with comparable performance. However, the role of optimal selection of the voltage space vector is one of the weakest points in a conventional DTC drive. In this paper optimal selection of voltage space vectors is achieved using GA based neural network. Simulations results validate the proposed in...