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Updated: Jul 20, 2025

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数据驱动型无模型自适应控制的实用问题,用于全方位移动操纵器

Chao Ren1, Jingyi Zhang1, Liang Hu2

  • 1School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China.

ISA transactions
|August 4, 2023
PubMed
概括

这项研究增强了移动机器人的无模型自适应控制 (MFAC),引入了平台旋转,初始值估计和轨迹趋同的解决方案. 在一个全向移动操纵器上的实验验证表明控制性能得到了改进.

关键词:
数据驱动的数据驱动.无模型的自适应控制一个无向的移动机器人.轨迹跟踪控制器可以控制轨迹的跟踪.

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