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Simultaneous Optimization of Smart Beam Structure for Vibration Control based on Chaos Particle Swarm algorithm

机译:基于混沌粒子群算法的振动控制智能光束结构的同时优化

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A chaos particle swarm algorithm has been used to search for the optimal placement and size of the piezoelectric sensors and actuators (S/As) bonded on smart beams as well as the optimal feedback control gains. The criterion based on the minimization of stored and needed control energy was adopted for the optimization of the control system. The optimal distributions of the piezoelectric patches and feedback control gains based on specific controlled vibration modes have also been put forward. The results showed that the control effect could be significantly improved with optimized distribution of piezoelectric patches and gains.
机译:混沌粒子群算法已被用于搜索在智能光束上粘合的压电传感器和致动器的最佳放置和尺寸以及最佳反馈控制增益。采用了基于存储和所需控制能量最小化的标准来进行控制系统的优化。还提出了基于特定受控振动模式的压电贴片和反馈控制增益的最佳分布。结果表明,随着压电贴片的优化分布和增益,可以显着提高控制效果。

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