首页> 外文期刊>Mechatronics: The Science of Intelligent Machines >Adaptive sliding manifold slope via grasped object stiffness detection with a prosthetic hand
【24h】

Adaptive sliding manifold slope via grasped object stiffness detection with a prosthetic hand

机译:通过假手抓握物体的刚度检测来自适应滑动歧管坡度

获取原文
获取原文并翻译 | 示例
       

摘要

Upper limb amputees have expressed the desire for their prosthetic hands to better adapt to the parameters of different grasped objects. In response to this need, an adaptive sliding mode controller (ASMC) is developed that has a variable-slope manifold which is dependent upon the stiffness of the grasped object. The ASMC is experimentally compared to a sliding mode controller (SMC) which has a constant manifold slope over a wide range of grasped object stiffness, ranging from an empty hand to a steel bar. Experimental results indicate that both controllers have satisfactory percent overshoot characteristics; however, the ASMC has significantly less absolute error for all experiments performed with eight different levels of grasped object stiffness.
机译:上肢截肢者表达了对他们的假手更好地适应不同被抓物体的参数的渴望。响应于此需求,开发了具有可变斜率歧管的自适应滑模控制器(ASMC),该可变斜率歧管取决于所抓物体的刚度。实验将ASMC与滑模控制器(SMC)进行了比较,该控制器在从空着的手到一根钢棒的各种抓握物体的刚度范围内均具有恒定的歧管斜率。实验结果表明,两个控制器都具有令人满意的百分比超调特性;但是,对于使用八种不同级别的抓握物体刚度进行的所有实验,ASMC的绝对误差均大大降低。

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