期刊
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
卷 23, 期 5, 页码 2035-2043出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2015.2394236
关键词
Crank-Nicolson discretization method of partial differential equations (PDEs); distributed parameter systems (DPSs); iterative learning control (ILC); linear matrix inequalities (LMIs); robust control
资金
- National Science Centre, Poland [2011/01/B/ST7/00475]
- German Research Foundation [AS132/3-1]
In this brief, a robust control design is presented for an electrostatic microbridge actuator. For this system, a spatially distributed electrostatic force serves as control input. Moreover, a spatially distributed measurement of the bridge displacement is assumed to be available. For an accurate tracking of a reference trajectory-repeated periodically during the operation of the microbridge-an iterative learning control (ILC) approach is proposed based on so-called wave repetitive processes. The design procedure represents an efficient combination of linear matrix inequalities and an appropriate parameter optimization. By explicitly considering polytopic parameter uncertainty, the ILC becomes robust against uncertain parameters such as the squeeze film damping coefficient, the mass density, and the time constant of the electrostatic actuator. Convincing simulation results provide a numerical validation of the proposed ILC scheme as a prestage for a future experimental implementation.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据