Control methodologies for vibration control of smart civil and mechanical structures
Control methodologies for vibration control of smart civil and mechanical structures
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DOI：
10.1111/exsy.12354
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发表时间：
2018-11
期刊：
影响因子：
3.3
通讯作者：
Zhijun Li;H. Adeli
中科院分区：
文献类型：
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作者：
Zhijun Li;H. Adeli
人工智能和专家系统仍然是21世纪的关键技术。使用主动控制器，结构可以自适应地调整其行为在动态负载。这种具有自修改能力的结构被称为智能或智能结构。智能结构技术有可能成为结构工程领域的游戏规则改变者。它有望在防止生命损失和结构及其内容物损坏方面产生巨大的后果，特别是对于具有数百或数千个组件的大型结构。智能主动控制技术成功实施的一个关键因素是一个有效的控制算法来计算施加到结构上的实际力的大小。本文综述了智能土木和机械结构在外部动力荷载作用下振动控制的主要主动控制方法。讨论了各种控制算法的优缺点。最后指出了控制算法研究的新趋势，包括多范式策略、分散控制、深度神经网络机器学习技术的应用、可持续性控制设计以及结构健康监测和振动控制两个领域的统一。
Artificial intelligence and expert system remains a key technology in the 21st century. Using active controllers, a structure can adaptively adjust its behaviour during dynamic loads. Such structures with self‐modifying capabilities are referred to as intelligent or smart structures. Smart structure technology has the potential to be a game changer in the structural engineering field. It promises to have enormous consequences in terms of preventing loss of life and damage to structure and their content especially for large structures with hundreds or thousands of components. A key element in successful implementation of smart active control technology is an effective control algorithm to compute the magnitudes of actual forces to be applied to the structure. In this paper, an overview of main active control methodologies for vibration control of smart civil and mechanical structures subjected to external dynamic loads is presented. The advantages and the disadvantages of different control algorithms are discussed. Finally, new trends in control algorithm research are pointed out including multiparadigm strategies, decentralized control, application of deep neural network machine learning techniques, control design for sustainability, and unification of the two fields of structural health monitoring and vibration control.