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Process Control
Fuzzy Logic Introduces Intelligence
into Process Control
"Classical" process control uses the concept of
mathematical modelling. However, modelling highly non-linear systems
is a time-consuming task and often proves impossible. Despite this
fact, human operaters are still able to operate in such complex
process environments using their experience.
Fuzzy control-based systems exploit this experience in an
automatic process control. Human knowledge is expressed in easy to
understand If-Then rules. This dramatically speeds up the design of a
controller, since writing self-explanatory linguistic rules is much
easier than constructing mathematical models.
Beyond this, fuzzy logic is able to deal with non-linear
systems. The example above shows a cascading fuzzy liquid level
control system. DataEngine V.i provides all the tools necessary for
the building of such fuzzy controllers. High-level virtual instruments
such as graphical editors for fuzzy rules and linguistic variables
facilitate the design of fuzzy controllers. The user has full access
to all the parameters of the fuzzy system.
Using the low-level virtual instruments available, it is even
possible to modify the inference process according to changing or
ad-hoc requirements, or to add a new defuzzification procedure. Some
of the main features are:
- Graphical input of membership function
- Plotting transfer functions
- Debugger: graphical display of inference results
- Graphical input of membership function
- Plotting transfer functions
- Debugger: graphical display of inference results