Emotional Controller (BELBIC) based DTC for Encoderless Synchronous Reluctance Motor Drives

In this paper, a direct torque control (DTC) of encoderless Synchronous Reluctance Motor (SynRM) drives is proposed based on emotional controller and space vector modulation. 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. In this work, a BELBIC controller is designed for torque and flux control in stator flux reference frame, respectively. The proposed controller is able to reduce the torque, flux, current and speed pulsations during steady-state behavior while the fast response and robustness merits of the classic DTC are preserved. In addition, in order to achieve a maximum torque per Ampere (MTPA) strategy at any operating condition, a search algorithm changes the stator flux magnitude. The proposed controller is successfully implemented in real-time through a PC-based three-phase, 0.5 Hp SynRM. The obtained results show superior proposed control characteristics, especially very fast response, simple implementation and robustness with respect to disturbances and parameter variations. So the proposed encoderless MTPA emotional controller for SynRM drives with minimized number of dependent parameters presents excellent promise for industrial scale utilization

Keywords:

component , medial brain , emotional intelligent controller , model-free , SynRM , DTC , stator flux reference , MTPA