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Updated: Jun 23, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Published on: October 28, 2022

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基于自适应神经网络和干扰观察器的倒退控制用于可重新配置的可变刚度执行器

Yanghui Zhu1, Qingcong Wu1, Bai Chen1

  • 1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016 Nanjing, China.

ISA transactions
|June 22, 2024
PubMed
概括

可重新配置可变刚度执行器 (RVSA) 的新控制方法显著减少了位置控制错误. 这种带有神经网络和干扰观察器的动态表面后退控制增强了机器人的安全性和性能.

关键词:
适应性神经网络是一种自适应性神经网络.后退的控制控制 后退的控制干扰观察者是干扰的观察者.可变刚度执行器的执行器

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