Speed and Flux Control of Induction Motors Using Emotional Intelligent Controller

This paper presents a real-time implementation of an improved emotional controller for induction motor (IM) drives. The proposed controller is called brain-emotional-learning-based intelligent controller. The utilization of the new controller is based on the emotion-processing mechanism in the brain and is essentially an action selection, which is based on sensory inputs and emotional cues. This intelligent control is based on the limbic system of the mammalian brain. The controller is successfully implemented in real time using a PC-based three-phase 2.5-kW laboratory squirrel-cage IM. In this paper, a novel but simple model of the IM drive system is achieved by using the intelligent controller, which simultaneously controls the motor flux and speed. This emotional intelligent controller has a simple computational structure with high auto learning features. The proposed emotional controller has been experimentally implemented in a laboratory IM drive, and it shows good promise for niche industrial-scale utilization.

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