Speed control of Switched Reluctance Motor (SRM) using emotional learning based adaptive controller

Hosscin Rouhani, Rasoul Mohammadi Milasi, Caro Lucas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

In this paper, an intelligent controller is applied to speed control of a switched reluctance motor. Two techniques are used which have been successfully used in other intelligent modeling and control applications. Firstly, a neurofuzzy locally linear model tree system is used for data driven modeling of the switched reluctance motor. Secondly, a neural computing technique based on a mathematical model of amygdala and the limbic system is used for emotional control of the switched reluctance motor. The obtained results indicate the applicability of the proposed techniques in intelligent control of this highly nonlinear system.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Control and Automation, ICCA'05
Pages330-334
Number of pages5
StatePublished - 2005
Event5th International Conference on Control and Automation, ICCA'05 - Budapest, Hungary
Duration: Jun 27 2005Jun 29 2005

Publication series

NameProceedings of the 5th International Conference on Control and Automation, ICCA'05

Conference

Conference5th International Conference on Control and Automation, ICCA'05
Country/TerritoryHungary
CityBudapest
Period6/27/056/29/05

All Science Journal Classification (ASJC) codes

  • General Engineering

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