Department of Mechanical Engineering and Materials Science and Engineering, Cyprus University of Technology, Limassol, Cyprus.
School of Engineering and Informatics, University of Sussex, United Kingdom.
ISA Trans. 2014 Jan;53(1):97-109. doi: 10.1016/j.isatra.2013.08.006. Epub 2013 Sep 14.
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.
本文提出了一种系统设计框架，用于以优化的方式选择传感器，同时满足一组给定的复杂系统控制要求，即优化和鲁棒性能以及高完整性系统的容错控制。值得注意的是，在控制系统设计中进行最佳传感器选择通常是一项艰巨的任务。在所有候选传感器集中，该算法通过所有可行的传感器集来探索和分别优化系统性能，以便在单个或多个传感器故障下识别备用选项。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罗技术。不失一般性，通过适当的现实模拟，在电磁悬浮系统上测试了它的功效。
