首页> 外文期刊>IEEJ Journal of Industry Applications >Reaction Force Estimation of Electro-hydrostatic Actuator Using Reaction Force Observer
【24h】

Reaction Force Estimation of Electro-hydrostatic Actuator Using Reaction Force Observer

机译:利用反作用力观测器估算电动静液压执行机构的反作用力

获取原文
           

摘要

Electro-hydrostatic actuators (EHAs) are hydraulic actuators that are flexible and exhibit high backdrivability. Flexible operation and accurate detection of reaction forces are required for robots to be able to perform in environments in which they will be cohabiting with humans. However, nonlinear elements that degrade detection accuracy, such as static friction, backlash, and oil leakage, are present in hydraulic systems. In addition, pressure sensors in hydraulic systems are not very accurate at estimating reaction forces, because they cannot estimate internal forces and viscous friction. In this study, we propose a combination of control algorithms for accurately estimating reaction forces. Static friction is compensated by using feedback modulators. In addition, we use a backlash and oil leakage compensator, which do not require any models, to suppress the relative velocity between the motor-side and load-side. Then, the use of a reaction force observer (RFOB) that exploits both pressure sensors and encoders is proposed. The RFOB can be implemented because disturbances are linearized by the compensators. Experimental results show that reaction forces can be estimated with very high accuracy using the proposed RFOB. In addition, we implemented force control using the RFOB and evaluate the force tracking performances by improving the estimation accuracy.
机译:电动静液压执行器(EHA)是液压执行器,具有很高的灵活性,并具有很高的反向驱动能力。为了使机器人能够在与人类同居的环境中运行,需要灵活的操作和准确的反作用力检测。但是,液压系统中存在会降低检测精度的非线性元素,例如静摩擦,反冲和漏油。另外,液压系统中的压力传感器在估计反作用力方面不是很准确,因为它们无法估计内力和粘性摩擦。在这项研究中,我们提出了一种控制算法的组合,用于准确估算反作用力。通过使用反馈调制器可以补偿静摩擦。此外,我们使用不需要任何型号的间隙和漏油补偿器来抑制电机侧和负载侧之间的相对速度。然后,建议使用同时利用压力传感器和编码器的反作用力观察器(RFOB)。之所以可以实现RFOB,是因为补偿器将干扰线性化了。实验结果表明,使用建议的RFOB可以非常高精度地估计反作用力。此外,我们使用RFOB实施了力控制,并通过提高估计精度来评估力跟踪性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号