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A parameter tuning approach of the Sliding Mode Control for a Quadcopter based on Genetic Algorithms

  • Escuela Politecnica Nacional
  • Universidad de los Andes Mérida

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this work is presented a parameter tuning approach of a Sliding Mode Control (SMC) using Genetic Algorithms (GA). The GA are used for the tuning of the parameters of the Orientation Control and Height of quadcopter, considering all the cases in a sliding surface PD. The objective of GA is to provide a set of parameters that minimizes the integral square error (ISE) of the SMC. The SMC is improved when it is used the GA.

Original languageEnglish
Title of host publication2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538666579
DOIs
StatePublished - 17 Dec 2018
Externally publishedYes
Event3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018 - Cuenca, Ecuador
Duration: 15 Oct 201819 Oct 2018

Publication series

Name2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018

Conference

Conference3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018
Country/TerritoryEcuador
CityCuenca
Period15/10/1819/10/18

Keywords

  • Genetic Algorithms
  • Parameter Tuning
  • Quadcopter
  • SMC

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