Combined vector and direct torque control methods for IPM motor drives using emotional controller (BELBIC)

Abstract

This paper presents a modern control system for three phase high performance interior permanent magnet motor drives. The control system combines the advantages of vector control and direct torque control and overcomes some of the implementation drawbacks of either of the methods. The system uses a current control loop in connection with a switching table. A brain emotional learning based intelligent controller (BELBIC) is employed in the system which provides excellent performance under different operating conditions. BELBIC is based on the emotion processing mechanism in human's brain providing actions based on sensory inputs and emotional cues. A comprehensive evaluation of an IPM motor performance under the proposed control system proves the effectiveness of the system and its partial superiority over either vector control or direct torque control despite its relatively simple structure.

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.…”

“…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.…”

“…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.…”