Performance analysis of Brain Emotional Controller for Induction Motor Drive

Autor: Qutubuddin, Narri Yadaiah, Sridhar Savarapu
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Intelligent Technologies (CONIT).
DOI: 10.1109/conit51480.2021.9498403
Popis: This paper proposes space vector modulation (SVM) based direct torque control (DTC) of induction motor drive using Brain Emotional Controller (BEC). The limbic system of mammalian brain generates emotions by processing information in amygdala and orbitofrontal cortex, forms a good computational model as BEC which is suitable for self-learning control applications. In this paper BEC is proposed for controlling the speed of the IM drive, torque and flux ripple minimization. It is implemented on op-RTDS-OP5600 simulator. The simulation and experimental results validates that the proposed controller performance is analyzed from no load to full load conditions and also compared with existing intelligent controller.
Databáze: OpenAIRE