Genetic-fuzzy sliding mode controller for a DC servomotor system

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Abstract

A Genetic-Fuzzy Sliding Mode Controller is presented for DC Servomotor system control. The fuzzy logic controller was optimized by Genetic Algorithm method to reduce and eliminate the chattering phenomenon. To demonstrate the effectiveness of the presented approach, a comparison between the proposed system, and standard Sliding Mode controller were conducted. Simulation results have shown the advantages of choosing the proposed controller, to achieve the desired results, regardless of the external disturbance, the variation in system parameters, or the feedback noise.

Original languageBritish English
Title of host publication2012 8th International Symposium on Mechatronics and its Applications, ISMA 2012
DOIs
StatePublished - 2012
Event2012 8th International Symposium on Mechatronics and its Applications, ISMA 2012 - Sharjah, United Arab Emirates
Duration: 10 Apr 201212 Apr 2012

Publication series

Name2012 8th International Symposium on Mechatronics and its Applications, ISMA 2012

Conference

Conference2012 8th International Symposium on Mechatronics and its Applications, ISMA 2012
Country/TerritoryUnited Arab Emirates
CitySharjah
Period10/04/1212/04/12

Keywords

  • DC Servomotor
  • Fuzzy Logic
  • Genetics Algorithm
  • Sliding Mode Controller

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