使用Koopman线性二次调节器对球形气泡进行数据驱动的声学控制
Andrew J Gibson1, Xin C Yee1, Michael L Calvisi1
1Department of Mechanical and Aerospace Engineering, University of Colorado Colorado Springs, Colorado Springs, Colorado 80918, USA.
The Journal of the Acoustical Society of America
|July 9, 2024
概括
库普曼线性二次调节器 (KLQR) 通过将它们转化为线性动力学来控制非线性泡动力学. 这种数据驱动的方法可以对泡振荡进行精确的声学控制,提供稳定性和轨迹跟踪.
科学领域:
- 非线性动力学和控制控制
- 声学操纵是一种声学操纵.
- 流体动力学 流体动力学
背景情况:
- 库普曼运算子理论在函数空间中线性化非线性系统.
- 数据驱动的方法将这些功能空间用于控制.
- 由于非线性动态,泡的声学控制具有挑战性.
研究的目的:
- 应用库普曼线性二次调节器 (KLQR) 来控制单个球形气泡的声学.
- 为了实现包括大振幅振荡,稳定和复杂周期运动在内的目标.
- 为了证明线性控制策略对非线性泡动态的有效性.
主要方法:
- 利用库普曼运算子理论将非线性气泡动力学 (雷利-普莱塞特方程) 转换为线性表示.
- 实现了库普曼线性二次调节器 (KLQR) 进行反控制.
- 采用声学驱动 (宽带和单频) 来操纵泡振荡.
主要成果:
- KLQR有效地控制了球形气泡的非线性辐射振荡.
- 达到规定的振荡轨迹,包括简单的波,稳定,周期和准周期运动.
- 证明了强度和追踪任意轨迹的能力,没有初步猜测.
结论:
- 库普曼运算子理论提供了一个强大的框架来控制像声泡这样的非线性系统.
- KLQR提供了一种强大而通用的方法,用于精确的声泡操纵.
- 这种数据驱动的线性控制方法克服了以前方法的局限性.
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