کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
380151 1437423 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
New discrete-time robust H2/H∞ algorithm for vibration control of smart structures using linear matrix inequalities
ترجمه فارسی عنوان
الگوریتم جدید مقاوم و زمان گسستۀ ∞H2/H برای کنترل لرزش ساختارهای هوشمند با استفاده از نامعادلات خطی ماتریس
کلمات کلیدی
کنترل مقاوم، کنترل زمان گسسته، کنترل ∞H2/H، عدم قطعیت های پارامتری، ساختارهای هوشمند، کنترل لرزش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

In real structural systems, such as a building structure or a mechanical system, due to inherent structural modeling approximations and errors, and changeable and unpredictable environmental loads, the structural response unavoidably involves uncertainties. These uncertainties can reduce the performance of a control algorithm significantly and possibly make it unstable. In this paper, based on the theories of the Bounded Real Lemma and the linear matrix inequalities (LMI), a novel discrete-time robust H2/H∞ control algorithm is presented which not only reduces the structural peak response caused by external dynamic forces but also is robust and stable in the presence of parametric uncertainties which is always the case in real-life structures. To facilitate practical implementation, the uncertainties of structural parameters are considered in the time domain as opposed to the frequency domain. Compared with traditional H∞ control methods, the new control algorithm proposes a convenient design procedure to facilitate practical implementations of active control of complex and large structural systems through the use of a quadratic performance index and the LMI-based solution method. The effectiveness of the new discrete-time robust H2/H∞ adaptive control algorithm is demonstrated using a three-story frame with active bracing systems (ABS) and a ten-story frame with an active tuned mass damper (ATMD).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 55, October 2016, Pages 47–57
نویسندگان
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