It is generally accepted that incorporating so-called ‘smart’ control and monitoring technologies can improve
the reliability and availability of industrial systems. ‘Smart’ control can be defined as making full use of all the
measured, inferred and a priori information that is available from a system. In general terms, the idea is that
system level knowledge can be developed and used to check sensors for problems, to detect and identify faults
as they develop and, where appropriate, to re-configure the controller(s) to accommodate plant or sensor faults
until repair can be effected. To-date success, in terms of real industrial applications of the more advanced
techniques, has been limited. Hence, demonstrators are needed. The work described in this paper is part of an
on going project aimed at demonstrating these “smart” concepts on a Stewart-Gough platform comprising six
pneumatic actuators. To-date the research has focussed on specifying the demonstrator system and developing
and validating models of the pneumatic system. This is probably the most important step in designing a fault
tolerant actuation system – as the model is the foundation of the other algorithms