This post is an excerpt from the journal ISA Transactions. All ISA Transactions articles are free to ISA members, or can be purchased from Elsevier Press.
Abstract:
This paper presents a systematic design framework for selecting the sensors in an optimized 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 optimizes 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, multi-objective optimization and Monte Carlo techniques. Without loss of generality, its efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations.
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2006 Elsevier Science Ltd. All rights reserved.
