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A framework for optimal actuator/sensor selection in a control system

机译:控制系统中最佳执行器/传感器选择的框架

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When dealing with large-scale systems, manual selection of a subset of components (sensors/actuators), or equivalently identification of a favourable structure for the controller, that guarantees a certain closed-loop performance, is not very feasible. This paper is dedicated to the problem of concurrent optimal selection of actuators/sensors which can equivalently be considered as the structure identification for the controller. In the context of a multi-channel dynamic output feedback controller synthesis, we formulate and analyse a framework in which we incorporate two extra terms for penalising the number of actuators and sensors into the variational formulations of controller synthesis problems in order to induce a favourable controller structure. We then develop an explicit scheme as well as an iterative process for the purpose of dealing with the multi-objective problem of controller structure and control law co-design. It is also stressed that the immediate application of the proposed approach lies within the fault accommodation stage of a fault tolerant control scheme. By two numerical examples, we demonstrate the remarkable performance of the proposed approach.
机译:在处理大规模系统时,手动选择组件(传感器/执行器)的子集,或等效地识别控制器的有利结构,这保证了某种闭环性能,这不是很可行的。本文专用于同时最佳选择的致动器/传感器的问题,该致动器/传感器可以等效地被认为是控制器的结构识别。在多通道动态输出反馈控制器合成的上下文中,我们制定和分析框架,其中我们纳入了两个额外的术语,以便将执行器和传感器的数量惩罚到控制器合成问题的变分制剂中,以诱导有利的控制器结构体。然后,我们制定明确的方案以及迭代过程,以处理控制器结构和控制法共同设计的多目标问题。还应强调,所提出的方法的直接应用在于存在容错控制方案的故障容纳阶段。通过两个数值例子,我们证明了所提出的方法的显着性能。

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