ADAPTIVE FUZZY CONTROLLER TO CONTROL
K. Gowrishankar, Vasanth Elancheralathan
Rajiv Gandhi College Of Engg. & tech., Puducherry, India
Abstract: It is known that PID controller is employed in every facet of industrial automation.
The application of PID controller span from small industry to high technology industry. In this
paper, it is proposed that the controller be tuned using Adaptive fuzzy controller. Adaptive fuzzy
controller is a stochastic global search method that emulates the process of natural evolution.
Adaptive fuzzy controller have been shown to be capable of locating high performance areas in
complex domains without experiencing the difficulties associated with high dimensionality or
false optima as may occur with gradient decent techniques. Using Fuzzy controller to perform
the tuning of the controller will result in the optimum controller being evaluated for the system
every time. For this study, the model selected is of turbine speed control system. The reason for
this is that this model is often encountered in refineries in a form of steam turbine that uses
hydraulic governor to control the speed of the turbine. The PID controller of the model will be
designed using the classical method and the results analyzed. The same model will be redesigned
using the AFC method. The results of both designs will be compared, analyzed and conclusion
will be drawn out of the simulation made.
Keywords: Tuning PID Controller, ZN Method, Adaptive fuzzy controller.
Since many industrial processes are of a complex
nature, it is difficult to develop a closed loop control
model for this high level process. Also the human
operator is often required to provide on line
adjustment, which make the process performance
greatly dependent on the experience of the individual
operator. It would be extremely useful if some kind
of systematic methodology can be developed for the
process control model that i