International Research Journal of Education and Technology

Artificial Neural Network (ANN) is the piece of a computing system designed to simulate the way the human brain analyzes and processes information. It is the foundation of artificial I ntelligence(AI) and solves problems that would prove impossible or difficult by human or statistical standards. This project looks at the effect of replacing proportional-integral-derivative controller with ANN. The system developed was based on heat transfer in the kiln. The PID was first used to control the kiln system and its response chart recorded; then, the Artificial Neural etwork system, experimental results were determined. In conclusion, a resulting effective kiln system control were logged, which shows a uniqueness of the ANN control of the kiln over the PID control. Overshoots and undershoots were noticed in the PID compared to the Neural Network control with no overshoots and undershoots. This shows that the ANN system has an sffsctive control over the PID and consumes less time, less energy with a reduction in the final product cost. The developed system finds application in cement industry. Keywords: Artificial Neural Network, Proportional-Integral-Derivative, Uniqueness, Overshoots, Undershoots, Effective