Speed control for Interior Permanent Magnet Synchronous Motor drives based on Brain Emotional Learning Based Intelligent Controller in the field-weakening region

Automatic speed control of an asymmetrical six-phase induction motor using emotional controller (BELBIC)

“…Motivated by the success in functional modeling of emotions in control engineering applications [25][26][27][28][29][30][31][32][33][34][35][36], the main purpose of this paper is to use a structural model based on the limbic system of mammalian brain and emotional, for decision making and control engineering applications. We have adopted a network model developed by Moren and Balkenius [24], as a computational model that mimics amygdala, orbitofrontal cortex, thalamus, sensory input cortex and generally, those parts of the brain thought to be responsible for processing emotions.…”

“…In [24], the computational models of the amygdala and context processing are introduced, which are named brain emotional-learning (BEL) model. Based on the cognitively motivated open-loop model, the BEL-based intelligent controller (BELBIC) is introduced for the first time by Lucas in 2004 [23], and during the past few years, this controller has been used in control systems for several industrial applications [25,26], [28][29][30][31][32][33][34][35][36]. In [26], a BELBIC is applied for controlling a laboratorial overhead traveling crane in model-free and embedded manner.…”

“…The main features of that controller are enhanced learning capability, providing a modelfree control algorithm, robustness and the ability to swiftly respond. Implementation of the emotional controller (BELBIC) in electric drives, as speed and torque controllers and moreover, in order to implement different control strategies is reported in [28][29][30][31]. In [29], speed control of an interior type permanent magnet synchronous motor (IPMSM) is done using BELBIC.…”

“…The results show superior control characteristics, especially very fast response, simple implementation and robustness to variations. In [25] and [29,30], the controller is used to control IPMSM in different operation regions. The implementation of the stator flux and speed control of three-phase IM based on BELBIC is explained in [31,32], the performance of the controller is simulated under the variations in motor parameters such as rotor resistance.…”