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文章基本信息

  • 标题:Attitude and Altitude Control of Trirotor UAV by Using Adaptive Hybrid Controller
  • 本地全文:下载
  • 作者:Zain Anwar Ali ; Daobo Wang ; Suhaib Masroor
  • 期刊名称:Journal of Control Science and Engineering
  • 印刷版ISSN:1687-5249
  • 电子版ISSN:1687-5257
  • 出版年度:2016
  • 卷号:2016
  • DOI:10.1155/2016/6459891
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The paper presents an adaptive hybrid scheme which is based on fuzzy regulation, pole-placement, and tracking (RST) control algorithm for controlling the attitude and altitude of trirotor UAV. The dynamic and kinematic model of Unmanned Aerial Vehicle (UAV) is unstable and nonlinear in nature with 6 degrees of freedom (DOF); that is why the stabilization of aerial vehicle is a difficult task. To stabilize the nonlinear behavior of our UAV, an adaptive hybrid controller algorithm is used, in which RST controller tuning is performed by adaptive gains of fuzzy logic controller. Simulated results show that fuzzy based RST controller gives better robustness as compared to the classical RST controller.
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