Genetic Algorithm and Elman Network Used For Tuning The Parameters Of The PID Neural Controller Based Model Reference
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING,
2005, Volume 5, Issue 1, Pages 94-109
Abstract
Abstract:A neural network-based self-tuning PID controller is presented. The scheme of
the controller is based on using a modified Elman recurrent neural network as a selftuner
for (PID) controller. The proposed method has the advantage of not necessarily
using a combined structure of identification and decision, common in a standard selftuning
controller, because it uses a genetic algorithm based model reference. The paper
explains the algorithm for a general case, and then presents a specific application on
non-linear dynamical plant.
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