Optimised sensor selection for control and fault tolerance of electromagnetic suspension systems: a robust loop shaping approach.
Optimised sensor selection for control and fault tolerance of electromagnetic suspension systems: a robust loop shaping approach.
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DOI：
10.1016/j.isatra.2013.08.006
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发表时间：
2014
期刊：
影响因子：
7.3
通讯作者：
K. Michail;A. Zolotas;R. Goodall
中科院分区：
文献类型：
--
作者：
K. Michail;A. Zolotas;R. Goodall
本文提出了一个系统的设计框架，选择传感器的优化方式，同时满足一组给定的复杂系统的控制要求，即最佳和鲁棒性能以及容错控制的高完整性系统。值得注意的是，控制系统设计中的最佳传感器选择通常是一项重要的任务。在所有候选传感器集合中，该算法探索并分别优化系统性能与所有可行的传感器集合，以确定在单个或多个传感器故障的回退选项。所提出的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。在不失一般性的情况下，通过适当的现实模拟，它的功效在电磁悬架系统上进行了测试。
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.