Abstract
In this research paper, a control mechanism proposed to obtain the speed control of Switched Reluctance Motor (SRM) with reduction of torque ripple employing a meta-heuristic design is presented. The proposed control scheme employees hysteresis current controller for the inner loop and fuzzy logic speed controller for the outer loop at the same time the control of commutation angles turn-on(Θon), turn-off (Θoff) and demagnetizing(Θd) angles for the three phases, 6/4 pole switched reluctance machine. The problem is to find optimal values of scaling factors of fuzzy logic controller structure of speed controller, hysteresis bandwidth for current loop controller along with the Θon, Θoff angles and demagnetizing angle are treated like a multi-objective decision making problem with the objective to minimize the Integral Squared Error (ISE) for both torque and speed ripple. In this work, a new approach based on the Ant Colony optimization (ACO) meta-heuristic technique is applied to find the adequate operating parameters values of SR motor. Comparison between conventional and intelligent controllers is achieved, firstly using PI-controller which tuned manually for a previous study, secondly using fuzzy logic controller which tuned by ACO technique.
Sign-in/Register to access full text options 
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 callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
