Abstract
The dynamic characteristics of a switched reluctance motor (SRM) are highly nonlinear and it is very difficult to model SRM accurately and to control SRM with high performance. In this paper, we propose a simple control structure and algorithm for SRM. The torque ripple minimization is studied by using an iterative learning algorithm which can automatically find torque-angle-current characteristics of SRM, and a simple angle compensator is proposed in order to compensate phase delay in current control. Based on the obtained knowledge on torque-angle current characteristics, velocity controller and current controller are designed and implemented by a microcomputer based digital control and analog circuits. The high performance and practical feasibility on low-cost commercial applications are confirmed through experimental results.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
