Optimal tuning of Brain Emotional Learning Based Intelligent Controller using Clonal Selection Algorithm

Abstract

In this paper, an optimal parameter assignment methodology for intelligent controller based on computational model of emotional learning in mammalian brain is presented. Brain Emotional Learning Based Intelligent Controller (BELBIC) is an intelligent controller based on emotional learning process in mammalian limbic system. The proposed controller has been applied to control a single link flexible joint manipulator. In this paper, the CLONAL Selection Algorithm is utilized to obtain superior controller parameters in order to minimize Rise time, Settling time and Overshoot.