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Title: Optimised sensor selection for control and fault tolerance of electromagnetic suspension systems: A robust loop shaping approach
Authors: Michail, Konstantinos 
Zolotas, Argyrios C. 
Goodall, Roger M. 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Keywords: Optimised sensor selection;Robust control;Fault tolerant control;Magnetic levitation;Multiobjective optimisation;Electromagnetic suspension
Issue Date: Jan-2014
Source: ISA Transactions, 2014, vol. 53, no. 1, pp. 97–109
Volume: 53
Issue: 1
Start page: 97
End page: 109
Journal: ISA Transactions 
Abstract: 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.
ISSN: 0019-0578
DOI: 10.1016/j.isatra.2013.08.006
Rights: © ISA
Type: Article
Affiliation : Cyprus University of Technology 
University of Sussex 
Loughborough University 
Appears in Collections:Άρθρα/Articles

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