Virtual Laboratory of Intelligent Control for a Level Process
Mónica A. Táquez Delgado, Jesús Alfonso López Sotélo · 2009
In this work a virtual laboratory of intelligent control for a level process is presented. The virtual laboratory was implemented using Easy Java Simulations. We choose the inverse model based on artificial neural networks and the fuzzy control as strategies of intelligent control.Besides,we implemented a PID control in order to allow the user to make comparisons between strategies of intelligent control and classic control. The virtual laboratory has been conceived as a preliminary step to develop a remote laboratory with the same process.