Implementation of emotional controller (BELBIC) for synchronous reluctance motor drive

This paper describes an emotional controller for synchronous reluctance motor (SynRM) drive. The proposed modern controller is called brain emotional learning based intelligent controller (BELBIC). The utilization of BELBIC is based on the emotion processing mechanism in brain, and is essentially an action, which is based on sensory inputs and emotional cues. This intelligent control is inspired by the limbic system of mammalian brain. The proposed controller is successfully implemented in real-time through a PC-based three-phase, 0.5 Hp SynRM. In this work, the d-axis torque current and speed reference signals are accurately tracked. The performance of the proposed controller is compared with an optimized conventional PI controller in different operating conditions. The obtained results show superior proposed control characteristics, especially very fast response, simple implementation and robustness with respect to disturbances and parameter variations. This emotional intelligent controller consists of model-free simple structure with high auto learning feature, and therefore shows excellent promise for industrial scale utilization.