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首页> 外文期刊>Advances in Engineering Software >Fine tuning of a fuzzy controller for vibration suppression of smart plates using genetic algorithms
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Fine tuning of a fuzzy controller for vibration suppression of smart plates using genetic algorithms

机译:使用遗传算法微调模糊控制器以抑制智能板的振动

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Piezoelectric sensors and actuators are used for vibration control and suppression of a smart composite plate. In the present paper, the vibration suppression of smart structures using intelligent control strategy is considered. A smart plate described by Mindlin plate theory is used in the finite element modeling of laminates with piezoelectric layers. The control is based on a set of fuzzy rules that combine the membership functions of the system variables by using fuzzy inference techniques. A genetic algorithm is used in order to optimize the parameters of the fuzzy controller. The numerical results indicate that the problem statement is successful and the proposed method is very efficient. In addition, the results obtained are very satisfactory compared to previous investigations of our team. All implementations are built and tested within MATLAB environment.
机译:压电传感器和执行器用于振动控制和抑制智能复合板。本文考虑了采用智能控制策略的智能结构减振。用Mindlin板理论描述的智能板用于带有压电层的层压板的有限元建模。该控制基于一组模糊规则,这些规则通过使用模糊推理技术来组合系统变量的隶属函数。为了优化模糊控制器的参数,使用了遗传算法。数值结果表明问题说明是成功的,所提出的方法非常有效。此外,与我们团队先前的调查相比,获得的结果非常令人满意。所有实现均在MATLAB环境中构建和测试。

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