Modeling and simulation of PI-Fuzzy Control on Gas Pilot Plant via Matlab/Simulink and Industrial PC

PID controllers are most commonly used in the industrial plants because of their good
performance and easiness of use. Due to growth technology, new advanced
techniques have come into existence either to produce new things or to improve
existing ones. Several techniques can be used but having advanced control system, we
are looking forward to design system which behaves in the same way as to what
human do, and this is known as artificial intelligence. Artificial intelligence
techniques have been used to convert human experience into a form understandable
by computers. Intelligent systems are usually describes by analogies with biological
systems, for example looking at human beings perform control tasks, recognize
patterns, or make decisions. Notably fuzzy logic emerged as a tool to deal with
uncertain, imprecise or qualitative decision making problem, controllers that combine
intelligent and conventional techniques are commonly used in the intelligent control
of complex dynamic systems. In this work the pilot fuzzy control used to improve
existing traditional control systems by adding and an extra layer of intelligence to
current control method to make it more efficient, the focus of this work is to design,
analysis and implementation of PI-fuzzy control on a gas pilot plant using industrial
PC.