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作 者:张婷 程智 ZHANG Ting;CHENG Zhi(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201260,China)
机构地区:[1]上海工程技术大学机械与汽车工程学院,上海201260
出 处:《噪声与振动控制》2022年第5期42-48,59,共8页Noise and Vibration Control
基 金:国家自然科学基金资助项目(11702168)。
摘 要:跨度大、薄且阻尼小的悬臂结构易受到外界复杂环境干扰,导致悬臂结构产生的振动很难在短时间内减小到零。以压电智能悬臂梁为研究对象,在随机激励环境、风变环境和温控环境下,开展智能结构的振动控制实验研究工作。基于极点配置控制和最小方差自校正控制的理论,实验研究多种激励环境下智能结构产生的振动得到有效控制的方法,对比多种激励环境下智能结构振动控制结果,分析多种激励环境下智能结构振动控制效果。实验结果表明多种激励环境下智能悬臂结构产生的振动在采用自适应控制后得到了更为有效的控制,这为柔性结构的动力学设计、寿命延长及减振降噪问题提供了更为有效的理论和技术支持。Large span and thin cantilever structure has a small damping coefficient and can be disturbed very easily by the external complex environments. So, it is very difficult to make its vibration to reduce to zero in a short time period. In this paper, taking a piezoelectric intelligent cantilever beam as the research object, the experimental study on the control strategy of the intelligent structure is carried out in the random excitation environment, the variable wind environment and the controlled temperature environment. Based on the pole placement control and the minimum variance self-tuning control theories, the effectiveness of the vibration control method for the intelligent structure under various excitation environments is verified, and the vibration control results of intelligent structure under various excitation environments are compared and analyzed. The experimental results show that the vibration of the intelligent cantilever structure is more effectively controlled in various excitation environments with an adaptive control. That provides a more effective theoretical and technical support for the dynamic design, life extension, vibration suppression and noise reduction of flexible structures.
关 键 词:振动与波 压电 悬臂梁 自适应控制 多种激励环境
分 类 号:O327[理学—一般力学与力学基础]
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