• DocumentCode
    1839628
  • Title

    Emotional controller (BELBIC) for electric drives — A review

  • Author

    Daryabeigi, E. ; Markadeh, G. R Arab ; Lucas, C.

  • Author_Institution
    Najaf Abad Branch, Islamic Azad Univ., Najafabad, Iran
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    2901
  • Lastpage
    2907
  • Abstract
    Artificial intelligence (AI) and Biologically-inspired techniques, particularly the neural networks, are recently having significant impact on power electronics and electric drives. Neural networks have created a new and advancing frontier in power electronics, which is already a complex and multidisciplinary technology that is going through dynamic evolution in the recent years. But recently, a new type of the intelligent techniques, for control and decision making processes, was introduced that is based on the emotion processing mechanism in brain, and is essentially an action selection, which is based on sensory inputs and emotional cues. This intelligent control is inspired by the limbic system of mammalian brain. The proposed controller is called brain emotional learning based intelligent controller (BELBIC). This paper gives a comprehensive introduction and perspective of its applications in the intelligent control for electric drives area. The principal topologies of neural networks that are currently most relevant for applications in power electronics have been reviewed including the detailed description of their properties. Both feedforward and feedback or recurrent architectures have been covered in the description. The application examples that are discussed in this paper include different electric drives control as: Direct Current Motors (DC), Alternative Current Motors (AC) and Special Motors (SRM). In addition, almost all of the selected applications in the literature are included in the references. In the experimental and simulation works, novel and simple implementations of the drives system were achieved by using the intelligent controller, which control the motor speed accurately in different operating points. This emotional intelligent controller has simple structure with high auto learning feature that does not require any motor parameters, for self performance. The proposed emotional controller has been experimentally implemented in some of the - - laboratory electric drives, and shows excellent promise for industrial scale utilization.
  • Keywords
    DC motor drives; angular velocity control; feedforward; intelligent control; learning systems; machine control; neurocontrollers; reluctance motor drives; self-adjusting systems; BELBIC; alternative current motors; artificial intelligence; brain emotional learning based intelligent controller; direct current motors; electric drives; feedforward architecture; motor speed control; neural networks; power electronics; recurrent architecture; Computational modeling; DC motors; Induction motors; Permanent magnet motors; Reluctance motors; Rotors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5674934
  • Filename
    5674934