Intelligent washing machine: A bioinspired and multi-objective approach

Rasoul Mohammadi Milasi, Mohammad Reza Jamali, Caro Lucas

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)436-443
Number of pages8
JournalInternational Journal of Control, Automation and Systems
Issue number4
StatePublished - Aug 2007

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications


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