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Uncertainty models for control of distributed actuator and sensor arrays

机译:用于控制分布式执行器和传感器阵列的不确定性模型

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This paper considers control analysis approaches for systems incorporating large actuator and sensor arrays. Applications of such systems are increasingly common because of the development of micro-systems technology. Many imaging systems have large one-dimensional or two-dimensional arrays of actuators. This includes RF or optical reflectors, display, printing, and other systems. Signal processing for large sensor arrays has weel-established theory and applications, especially in imaging. At the same time, approaches to control of large distributed actuator and sensor arrays are much less developed. This paper considers one of the fundamental issues in design and anlaysis of large actuator and sensor array systems. The key notion in modern feedback control theory is the notion of uncertainty and associated notion of control robustness to this uncertainty. In control of dynamical systems evolving in time, structured uncertainty models are commonly accepted for theoretical analysis (Structured Singlular Value or mu -analysis) and practical control ddesign. In control of spatially distributed precesses, there is a need to testablish appropriate models of the uncertainty of the system spatial and dynamical characteristics. This paper discusses an extension of structured uncertainty models towards controlled systems with spatially distributed arrays of actuators and sensors. Unlike a dynamical uncertainty, spatial uncertainty is not causal in the spatial coordinate. This leads to related but different uncertainty models in the two cases. For spatial coordinates, boundary effects also contribute to the modeling error. By using the discussed uncertainty models, the existing methods of robust control design and analysis can be extended towards spatially distributed systems. As an illustrative example, this paper demonstrates an application of the developed approach to a one-dimensional model of a flexible reflector with a distributed acutator array for shape control.
机译:本文考虑了包含大型执行器和传感器阵列的系统的控制分析方法。由于微系统技术的发展,这种系统的应用越来越常见。许多成像系统具有大的一维或二维执行器阵列。这包括RF或光学反射器,显示器,印刷和其他系统。大型传感器阵列的信号处理具有威尔建立的理论和应用,尤其是成像。同时,控制大型分布式执行器和传感器阵列的方法很少开发。本文考虑了大型执行器和传感器阵列系统的设计和Anlaysis中的一个基本问题之一。现代反馈控制理论的关键概念是对这种不确定性的不确定度和相关概念的概念。在进行于时间的动态系统中,普遍接受结构不确定模型的理论分析(结构化单数值或MU - 分析)和实际控制Ddesign。在空间分布的精神控制中,需要测试系统空间和动态特性的不确定性的适当模型。本文讨论了带有空间分布式的执行器和传感器阵列的控制系统的结构化不确定性模型的延伸。与动态不确定性不同,空间不确定性在空间坐标上不是因果关系。这导致两种情况下有关但不同的不确定性模型。对于空间坐标,边界效果也有助于建模错误。通过使用讨论的不确定性模型,可以扩展到空间分布式系统的现有鲁棒控制设计和分析方法。作为说明性示例,本文示出了具有用于形状控制的分布式压力器阵列的柔性反射器的一维模型的应用方法。

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