2134/9252 Konstantinos Michail Konstantinos Michail Argyrios C. Zolotas Argyrios C. Zolotas Roger Goodall Roger Goodall J.F. Whidborne J.F. Whidborne Optimised configuration of sensors for fault tolerant control of an electro-magnetic suspension system Loughborough University 2012 Optimised sensor configurations Sensor fault tolerance Electromagnetic suspension Genetic algorithms LQG control Mechanical Engineering not elsewhere classified 2012-01-09 14:40:55 Journal contribution https://repository.lboro.ac.uk/articles/journal_contribution/Optimised_configuration_of_sensors_for_fault_tolerant_control_of_an_electro-magnetic_suspension_system/9560591 For any given system the number and location of sensors can affect the closed-loop performance as well as the reliability of the system. Hence, one problem in control system design is the selection of the sensors in some optimum sense that considers both the system performance and reliability. Although some methods have been proposed that deal with some of the aforementioned aspects, in this work, a design framework dealing with both control and reliability aspects is presented. The proposed framework is able to identify the best sensor set for which optimum performance is achieved even under single or multiple sensor failures with minimum sensor redundancy. The proposed systematic framework combines linear quadratic Gaussian control, fault tolerant control and multiobjective optimisation. The efficacy of the proposed framework is shown via appropriate simulations on an electro-magnetic suspension system.