Virtual Laboratory of Intelligent Control for a Level Process

Author

Delgado G, M.A. ; Sotelo, Jesus Alfonso Lopez

Author_Institution

Univ. Autonoma de Occidente Cali, Cali, Colombia

fYear

2009

fDate

22-25 Sept. 2009

Firstpage

313

Lastpage

318

Abstract

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.

Keywords

computer aided instruction; control engineering computing; control engineering education; fuzzy control; neurocontrollers; PID control; artificial neural network; easy Java simulation; education tool; fuzzy control; intelligent control; inverse model; level process; remote laboratory; virtual laboratory; Artificial neural networks; Automotive engineering; Control systems; Fuzzy control; Intelligent control; Intelligent robots; Inverse problems; Java; Remote laboratories; Three-term control; Intelligent control; artificial neural network; fuzzy control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2009. CERMA '09.

Conference_Location

Cuernavaca, Morelos

Print_ISBN

978-0-7695-3799-3

Type

conf

DOI

10.1109/CERMA.2009.37

Filename

5341969