A new class of adaptive fuzzy control systems applied in an industrial thermal vacuum process

A feasible solution to the problem of controlling thermal vacuum chambers automatically to satisfy testing requirements in the space sector is considered. The design of appropriate controllers is not a trivial task due to intrinsic time delay and changing dynamics related to variable operating conditions in thermal vacuum tests. The fuzzy reference gain-scheduling control approach (FRGS) is a concept that has been under development to substitute specialists in controlling thermal vacuum systems. In this new class of adaptive fuzzy controller the parameters are adjusted on-fine by modifying the shapes of the membership functions according to different operational conditions. Its application is not limited to controlling thermal vacuum processes. It can be applied to control any industrial problems or to model dynamics of systems, and it can be used in decision-making tasks.