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Optimised sensor selection for control and fault tolerance of electromagnetic suspension systems: A robust loop shaping approach

机译:优化的传感器选择,用于电磁悬架系统的控制和容错:鲁棒的环路整形方法

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摘要

This paper presents a systematic design framework for selecting the sensors in an optimised manner, simultaneously satisfying a set of given complex system control requirements, i.e. optimum and robust performance as well as fault tolerant control for high integrity systems. It is worth noting that optimum sensor selection in control system design is often a non-trivial task. Among all candidate sensor sets, the algorithm explores and separately optimises system performance with all the feasible sensor sets in order to identify fallback options under single or multiple sensor faults. The proposed approach combines modern robust control design, fault tolerant control, multiobjective optimisation and Monte Carlo techniques. Without loss of generality, it's efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations.
机译:本文提出了一种系统设计框架,用于以最佳方式选择传感器,同时满足一组给定的复杂系统控制要求,即最佳和鲁棒的性能以及针对高完整性系统的容错控制。值得注意的是,在控制系统设计中选择最佳传感器通常是一项艰巨的任务。在所有候选传感器组中,该算法使用所有可行的传感器组来探索并分别优化系统性能,以识别单个或多个传感器故障时的后备选项。该方法结合了现代鲁棒控制设计,容错控制,多目标优化和蒙特卡洛技术。在不失一般性的前提下,通过适当的真实模拟在电磁悬挂系统上测试了其功效。

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