Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/3238
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. 
Keywords: Optimised sensor selection;Robust control;Fault tolerant control;Magnetic levitation;Multiobjective optimisation;Electromagnetic suspension
Category: Mechanical Engineering
Field: Engineering and Technology
Publisher: Elsevier
Source: ISA Transactions, Volume 53, Issue 1, January 2014, Pages 97–109
Link: http://www.sciencedirect.com/science/article/pii/S0019057813001365
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.
URI: http://ktisis.cut.ac.cy/handle/10488/3238
http://hdl.handle.net/10488/3238
ISSN: 0019-0578
http://dx.doi.org/10.1016/j.isatra.2013.08.006
DOI: http://dx.doi.org/10.1016/j.isatra.2013.08.006
Rights: Elsevier
Type: Article
Appears in Collections:Άρθρα/Articles

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