International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Intelligent Washing Machine: A Bioinspired and Multi-objective Approach

  • Milasi, Rasoul Mohammadi (Electrical and Computer Engineering at University of Alberta) ;
  • Jamali, Mohammad Reza (Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran) ;
  • Lucas, Caro (Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering of University of Tehran, School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics)
  • Published : 2007.08.31
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Abstract

In this paper, an intelligent method called BELBIC (Brain Emotional Learning Based Intelligent Controller) is used to control of Locally Linear Neuro-Fuzzy Model (LOLIMOT) of Washing Machine. The Locally Linear Neuro-Fuzzy Model of Washing Machine is obtained based on previously extracted data. One of the important issues in using BELBIC is its parameters setting. On the other hand, the controller design for Washing Machine is a multi objective problem. Indeed, the two objectives, energy consumption and effectiveness of washing process, are main issues in this problem, and these two objectives are in contrast. Due to these challenges, a Multi Objective Genetic Algorithm is used for tuning the BELBIC parameters. The algorithm provides a set of non-dominated set points rather than a single point, so the designer has the advantage of selecting the desired set point. With considering the proper parameters after using additional assumptions, the simulation results show that this controller with optimal parameters has very good performance and considerable saving in energy consumption.

Keywords

References

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