Improving PID Control Based on Neural Network

Abstract

In this paper, a neural network PID controller is presented, applying neural network and reducing PID configuration in controlling industry process. Two built neural networks are considered as cores to adjust weights which result in the suggested PID parameters. Algorithm program is written in Siemens TIA Portal and tested in Factory I/O. It is verified after analysis that the proposed model has a better performance than conventional PID in terms of steady state, deviations and consistency of control value after tuning time.