%0 Journal Article
%T Robust adaptive control for nanopositioning system based on shape-memory alloy actuators<br>基于形状记忆合金驱动器的微纳定位系统鲁棒自适应控制
%A DU Juan
%A FENG Ying
%A HU Yue-ming
%A <br>杜娟
%A 冯颖
%A 胡跃明
%J 控制理论与应用
%D 2011
%I 
%X For nanopositioning system with actuators made from smart material, the control approach for this class of high-precision positioning system is addressed. The crucial point of this task is to mitigate the adverse effects caused by the unknown hysteresis. In an illustrative example, we employ a generalized Prandtl-Ishlinskii model with generalized play operator to describe the unknown saturated hysteresis in the shape-memory alloy actuator, and develop a robust adaptive controller to mitigate the effects of the preceding hysteresis. This controller realizes a precise trajectory tracking, while ensuring the global stability for the closed-loop system. The effectiveness of the proposed control approach is demonstrated through a simulation example.
%K robust adaptive control
%K hysteresis
%K smart-materials
%K nonlinear system control<br>鲁棒自适应控制
%K 回滞
%K 智能材料
%K 非线性控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=44C8139BBD33A836E08FE4EDB6AFEF76&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=A33A8FD1432A4C3E&eid=D8B37A0210DB6B9D&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=17