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Flight Motion Controller Design using Genetic Algorithm for a Quadcopter

Measurement and control (London), 2018-04, Vol.51 (3-4), p.59-64 [Peer Reviewed Journal]

The Author(s) 2018 ;The Author(s) 2018. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0020-2940 ;EISSN: 2051-8730 ;DOI: 10.1177/0020294018768744

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  • Title:
    Flight Motion Controller Design using Genetic Algorithm for a Quadcopter
  • Author: Tran, Huu Khoa ; Nguyen, Thanh Nam
  • Subjects: Computer simulation ; Control systems design ; Controllers ; Genetic algorithms ; Motion stability ; Proportional integral derivative ; Real time operation
  • Is Part Of: Measurement and control (London), 2018-04, Vol.51 (3-4), p.59-64
  • Description: In this study, the Genetic Algorithm operability is assigned to optimize the proportional–integral–derivative controller parameters for both simulation and real-time operation of quadcopter flight motion. The optimized proportional–integral–derivative gains, using Genetic Algorithm to minimum the fitness function via the integral of time multiplied by absolute error criterion, are then integrated to control the quadcopter flight motion. In addition, the proposed controller design is successfully implemented to the experimental real-time flight motion. The performance results are proven that the highly effective stability operation and the reliable of waypoint tracking.
  • Publisher: London, England: SAGE Publications
  • Language: English
  • Identifier: ISSN: 0020-2940
    EISSN: 2051-8730
    DOI: 10.1177/0020294018768744
  • Source: DOAJ Directory of Open Access Journals
    SAGE Open Access
    ProQuest Central
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