By Topic

Genetic tuned FPGA based PD fuzzy LUT controller

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bonilla, J.E. ; Programmable Logic Applications Group, Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia ; Grisales, V.H. ; Melgarejo, M.A.

This paper presents the development of an FPGA-based proportional-differential (PD) fuzzy look-up table (LUT) controller. The fuzzy inference uses a 256-value LUT. This method has been used due to its reduced computation time cost. The controller architecture is focused on the treatment of errors and changes in errors with tuning gains in order to regulate the control system dynamics using a traditional method in industrial processes. The controller has been probed with several nonlinear plants, like an inverted pendulum and magnetic levitation, but the tuning of the system is too difficult using an iterative modification of the gains. A genetic algorithm was therefore used as a tuning tool to obtain a particular overshoot in the transient response of the control system

Published in:

Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

Date of Conference: