无模型自适应控制抑制悬臂梁振动，无需系统模型。
Model-free Adaptive Output Feedback Vibration Suppression in a Cantilever Beam
- 基于回溯成本优化的采样数据自适应控制
- 加速度信号经滤波提取位移信息，抑制高频模态溢出
- 适用于振动抑制，尤其适合传感器噪声敏感场景
本文提出一种无模型自适应控制方法，用于抑制由未知扰动引起的悬臂梁振动。在简谐激励下，采用集中参数法建模悬臂梁。基于回溯成本优化，设计了采样数据自适应控制器，以抑制外部扰动引起的振动。同时考虑位移和加速度反馈。由于加速度测量对模态溢出更敏感，会激发更高频模态，因此开发了一种滤波器，从加速度数据中提取关键位移信息，提升抑制性能。通过对比使用位移与加速度测量的抑制效果，验证了该方法的有效性。
原文摘要 · Abstract (English)
This paper presents a model-free adaptive control approach to suppress vibrations in a cantilevered beam excited by an unknown disturbance. The cantilevered beam under harmonic excitation is modeled using a lumped parameter approach. Based on retrospective cost optimization, a sampled-data adaptive controller is developed to suppress vibrations caused by external disturbances. Both displacement and acceleration measurements are considered for feedback. Since acceleration measurements are more sensitive to spillover, which excites higher frequency modes, a filter is developed to extract key displacement information from the acceleration data and enhance suppression performance. The vibration suppression performance is compared using both displacement and acceleration measurements.
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