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Self-tuning AIS-based active vibration control of a thin plate

机译:基于自调整AIS的薄板主动振动控制

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This paper presents an active vibration control (AVC) scheme based on artificial immune system (AIS) algorithm with application to a thin plate system. A model-based control design approach, intergrating identification of the system model based on AIS is carried out to design the controller. The investigations concentrate on the first five resonance modes of the structure, and assesses the ability of developed control approach in attenuating the deflection of the plate structure. The performance of the AVC system is presented in both time and frequency domains with random, pseudo random binary sequence (PRBS) and finite duration step disturbance signals. Simulation results reveal that good performance is achieved with this approach.
机译:本文提出了一种基于人工免疫系统(AIS)算法的主动振动控制(AVC)方案,并将其应用于薄板系统。进行了基于模型的控制设计方法,基于AIS对系统模型进行集成识别,从而设计出控制器。研究集中于结构的前五个共振模式,并评估了开发的控制方法在减弱板结构挠度方面的能力。 AVC系统的性能通过随机,伪随机二进制序列(PRBS)和有限持续时间阶跃扰动信号在时域和频域中呈现。仿真结果表明,该方法可以实现良好的性能。

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