Artificial Neural Network-based Neurocontroller for Hydropower Plant Control
Artificial Neural Network-based Neurocontroller for Hydropower Plant Control
Author(s): Radmila Koleva, Ana M. Lazarevska, Darko BabunskiSubject(s): Energy and Environmental Studies, ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: neuro-controller; PID controller; HPP control;
Summary/Abstract: In this paper, the behavior of a system dynamics is represented where neuro-controller is designed, trained, and implemented. The development of the mathematical models is based on suggestions and recommendations from the literature issued by the working group of IEEE. According to the mathematical models, simulation is developed in Simulink software. MATLAB/Simulink software was used to represent the difference between the conventional PID controller and artificial neural network (ANN) neuro-controller. Nonlinear autoregressive-moving average (NARMA-L2) has been used for control simulation of the hydro-power plant (HPP) with neuro-controllers on one hand, and conventional PID control on the other hand.
Journal: TEM Journal
- Issue Year: 11/2022
- Issue No: 2
- Page Range: 506-512
- Page Count: 7
- Language: English
