Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation

Details Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation

2000-09-30

arxiv.org/abs/cs/0010003v1

Computer Science

Robotics

To be published in IEEE Trans. on Magnetics, 2000

Scientific paper

10.1109/20.908911

Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special applications. It is well known that controlling the current shape adequately can minimize the torque ripple. This paper presents a new method for shaping the motor currents to minimize the torque ripple, using a neuro-fuzzy compensator. In the proposed method, a compensating signal is added to the output of a PI controller, in a current-regulated speed control loop. Numerical results are presented in this paper, with an analysis of the effects of changing the form of the membership function of the neuro-fuzzy compensator.

Affiliated with

Also associated with

No associations

Rating

Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-2968