Abstract:
In this paper, we have optimised the parameters
of Proportional Integral and Derivative (PID) controllers using
Genetic Algorithm (GA). The PID controllers were integrated
with coupled tank system. This coupled tank system is a Multi
Input Multi Output (MIMO) system which also depicts a
nonlinear behaviour. GA was implemented using GA
framework in DEAP library. Operations and parameters in
GA were selected in order to obtain globally optimized
parameters for the PID controllers and to avoid the
prematurity of the population. The system function was
developed considering the nonlinear behaviour of the system
and PID parameters were obtained based on this model
equation. The performances of the GA tuned controllers were
compared with respect to the Zeigler Nicholson (ZN) method in
terms of Integral of the Squared Error (ISE) values, rising time
and overshoot.
