Diseño de algoritmos de control clásico, difuso y neuronal en LabVIEW aplicados en un prototipo para el control de nivel
(LabVIEW-based Classic, Fuzzy and Neural Controllers Algorithm Design Applied to a Level Control Prototype)
Juan Jose M. Nolasco (email@example.com)1, Jose Alfredo Padilla Medina (firstname.lastname@example.org)1
1Instituto Tecnologico de Celaya
This paper appears in: Revista IEEE América Latina
Publication Date: June 2017
Volume: 15, Issue: 6
This work presents the algorithm design of classic control, fuzzy control and neural control applied to a level control prototype. Classic control systems use PI and PID control actions; in order to tune such actions, Ziegler and Nichols oscillating method was used. It was designed a proportional, derivative and incremental fuzzy control system. As well, an inverse mode neural controller and an intern model neural controller are presented. As a first stage, simulation results were obtained using Matlab. Afterwards, an experimental implementation for each controller was carried out using LabVIEW based virtual instruments; a comparison between the functionalities of the presented controllers is done. Finally, the neural control system was implemented in an FPGA and the performance was compared to the one implemented in the LabVIEW virtual instruments.
Control, Artificial Neural Networks, fuzzy logic controller, LabVIEW, FPGA
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