μ-Analysis and μ-Synthesis Control Methods in Smart Structure Disturbance Suppression with Reduced Order Control

Algorithms Pub Date : 2024-02-06 DOI:10.3390/a17020073
Amalia Moutsopoulou, M. Petousis, G. Stavroulakis, A. Pouliezos, N. Vidakis
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Abstract

In this study, we created an accurate model for a homogenous smart structure. After modeling multiplicative uncertainty, an ideal robust controller was designed using μ-synthesis and a reduced-order H-infinity Feedback Optimal Output (Hifoo) controller, leading to the creation of an improved uncertain plant. A powerful controller was built using a larger plant that included the nominal model and corresponding uncertainty. The designed controllers demonstrated robust and nominal performance when handling agitated plants. A comparison of the results was conducted. As an example of a general smart structure, the vibration of a collocated piezoelectric actuator and sensor was controlled using two different approaches with strong controller designs. This study presents a comprehensive simulation of the oscillation suppression problem for smart beams. They provide an analytical demonstration of how uncertainty is introduced into the model. The desired outcomes were achieved by utilizing Simulink and MATLAB (v. 8.0) programming tools.
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智能结构干扰抑制中的μ分析和μ合成控制方法与降阶控制
在本研究中,我们为同质智能结构创建了一个精确模型。在对乘法不确定性进行建模后,我们使用 μ 合成和降阶 H-infinity 反馈最优输出 (Hifoo) 控制器设计了一个理想的鲁棒控制器,从而创建了一个改进的不确定工厂。利用一个包含标称模型和相应不确定性的更大工厂,建立了一个功能强大的控制器。所设计的控制器在处理搅拌植物时表现出稳健的额定性能。对结果进行了比较。作为一般智能结构的一个例子,使用两种不同的方法和强大的控制器设计控制了一个拼合压电致动器和传感器的振动。本研究对智能梁的振荡抑制问题进行了全面模拟。他们对如何将不确定性引入模型进行了分析论证。利用 Simulink 和 MATLAB (v. 8.0) 编程工具实现了预期结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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