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A disturbance observer-based adaptive control approach for flexure beam nano manipulators

机译:基于干扰观测器的柔性束纳米机械臂自适应控制方法

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摘要

This paper presents a systematic modeling and control methodology for a two-dimensional flexure beam-based servo stage supporting microano manipulations. Compared with conventional mechatronic systems, such systems have major control challenges including cross-axis coupling, dynamical uncertainties, as well as input saturations, which may have adverse effects on system performance unless effectively eliminated. A novel disturbance observer-based adaptive backstepping-like control approach is developed for high precision servo manipulation purposes, which effectively accommodates model uncertainties and coupling dynamics. An auxiliary system is also introduced, on top of the proposed control scheme, to compensate the input saturations. The proposed control architecture is deployed on a customized-designed nano manipulating system featured with a flexure beam structure and voice coil actuators (VCA). Real time experiments on various manipulating tasks, such as trajectory/contour tracking, demonstrate precision errors of less than 1%. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种基于二维挠曲梁的伺服平台的系统建模和控制方法,该平台支持微/纳米操作。与常规机电系统相比,此类系统面临重大控制挑战,包括跨轴耦合,动态不确定性以及输入饱和,除非有效消除这些问题,否则可能会对系统性能产生不利影响。针对高精度伺服操纵的目的,开发了一种新颖的基于扰动观测器的自适应反步样控制方法,该方法可有效地容纳模型不确定性和耦合动力学。除了提出的控制方案之外,还引入了辅助系统来补偿输入饱和。所提出的控制体系结构部署在具有弯曲梁结构和音圈致动器(VCA)的定制设计的纳米操纵系统上。在各种操纵任务(例如轨迹/轮廓跟踪)上进行的实时实验表明,精度误差小于1%。 (C)2015 ISA。由Elsevier Ltd.出版。保留所有权利。

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