Title
Optimised sensor selection for control and fault tolerance: Comparison and some new results
Abstract
Optimised sensor selection for control design is a non-trivial task to perform especially if the selection is done with respect to complex control requirements like reliability, optimised performance, robustness and fault tolerance. In this paper, a proposed framework is presented aiming to tackle the aforementioned problem. In this context, a Linear Quadratic Gaussian (LQG) controller is presented and applied to an Electro-Magnetic Suspension (EMS) system. Furthermore, the LQG solution is compared to a Multi-Objective (M.O.) H∞ and H∞ controller design via loop-shaping method using realistic simulations. A particular contribution is the use of Sensor Fault Accommodation Ratio (SFAR) in the LQG scheme providing useful conclusions on the optimised sensor selection for the EMS system. It is concluded that the framework can be extended to other industrial applications.
Year
DOI
Venue
2013
10.1109/MED.2013.6608699
Control & Automation
Keywords
Field
DocType
control system synthesis,fault tolerance,linear quadratic gaussian control,optimisation,sensors,suspensions,ems system,lqg controller,sfar,control design,electro-magnetic suspension system,linear quadratic gaussian controller,loop-shaping method,optimised sensor selection,performance optimisation,realistic simulation,reliability,sensor fault accommodation ratio,control systems,optimization,robustness,energy management,linear programming
Control theory,Linear-quadratic-Gaussian control,Computer science,Control theory,Controller design,Optimal projection equations,Robustness (computer science),Control engineering,Fault tolerance,Sensor selection,Control reconfiguration
Conference
ISSN
ISBN
Citations 
2325-369X
978-1-4799-0995-7
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Michail, K.100.34
Argyrios C. Zolotas2315.94
R. M. Goodall3163.04