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  • 标题:A trajectory planning based controller to regulate an uncertain 3D overhead crane system
  • 本地全文:下载
  • 作者:Carlos Aguilar-Ibanez ; Miguel S. Suarez-Castanon
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2019
  • 卷号:29
  • 期号:4
  • 页码:1-10
  • DOI:10.2478/amcs-2019-0051
  • 出版社:De Gruyter Open
  • 摘要:We introduce a control strategy to solve the regulation control problem, from the perspective of trajectory planning, for an uncertain 3D overhead crane. The proposed solution was developed based on an adaptive control approach that takes advantage of the passivity properties found in this kind of systems. We use a trajectory planning approach to preserve the accelerations and velocities inside of realistic ranges, to maintaining the payload movements as close as possible to the origin. To this end, we carefully chose a suitable S-curve based on the Bezier spline, which allows us to efficiently handle the load translation problem, considerably reducing the load oscillations. To perform the convergence analysis, we applied the traditional Lyapunov theory, together with Barbalat’s lemma. We assess the effectiveness of our control strategy with convincing numerical simulations.
  • 关键词:overhead crane; adaptive control; passivity; trajectory planning; Barbalat’s lemma;
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