J.-L. Kuo and Z.-S. Chang
Two-phase linear brushless DC motor with parallel windings, re- current fuzzy neural network (RFNN) controller, gradient descend method
This paper presents a recurrent fuzzy neural network (RFNN) con- troller to provide sensorless speed control for the two-phase linear brushless DC motor. It is not easy to arrange current and speed sen- sors along the linear motor’s required railway. The RFNN controller has the capability of tracing the system dynamics due to the inherent learning function. With the help of RFNN controller, the conven- tional PID control can be made to provide better performance by tracing the system dynamics. The paper will demonstrate dynamic performance improvement scenarios. The recurrent structure also enhances the conventional fuzzy neural network (FNN) controller with embedded memory function. The results from experimental evaluation indicate that the PID with RFNN controller can provide better performance than the conventional PID controller.
Important Links:
Go Back
