Switched reluctance motor (SRM) control, with the developed brain emotional learning based intelligent controller (BELBIC), considering torque ripple reduction

In this paper, a modern intelligent control based on computational model of mammalian limbic system and emotional processes (BELBIC) is presented for speed control of switched reluctance motor with attention to torque ripple reduction. In this work, a novel and simple model of SRM drives control plant is achieved by using the intelligent control system, which controls motor speed accurately and directly, without needing to using any conventional controllers and also, quite independent of motor parameters. In continue, proposed method compared to a conventional controller PID, which shows its advantage than that. This generation of intelligent controllers that has high auto learning speed with simple structure shows excellent praxis for industrial scale utilization truly.