A Comparative Study of Flatness Controller Tuning Methods using Bio-Inspired Algorithms for a Coupled Tanks System

Authors

  • Gabriel da Silva Lima Automation and Control Group (GRACO), Department of Mechanical Engineering, University of Brasília, Brasília, DF
  • Matheus Bawden Silverio de Castro Automation and Control Group (GRACO), Department of Mechanical Engineering, University of Brasília, Brasília, DF
  • Vinicius Rafael de Freitas Automation and Control Group (GRACO), Department of Mechanical Engineering, University of Brasília, Brasília, DF
  • Eduardo Perez Liberato Automation and Control Group (GRACO), Department of Mechanical Engineering, University of Brasília, Brasília, DF
  • José Oniram de Aquino Limaverde Filho Automation and Control Group (GRACO), Department of Mechanical Engineering, University of Brasília, Brasília, DF
  • Eugenio Libório Feitosa Fortaleza Automation and Control Group (GRACO), Department of Mechanical Engineering, University of Brasília, Brasília, DF
  • Rafael Valladares de Almeida Repsol Sinopec Brasil, Research and Development, Rio de Janeiro, RJ

DOI:

https://doi.org/10.20906/SBAI-SBSE-2023/3954

Keywords:

Liquid Level Control, Differential Flatness Theory, Particle Swarm Optimization, Gray Wolf Optimization, Nonlinear Coupled Tanks System

Abstract

Liquid level control has been a continuous challenge in a considerable number of industrial processes, especially when one has to simultaneously satisfy multiple control performance specifications. This paper presents a comparative study between Particle Swarm Optimization and Gray Wolf Optimization as tuning methodologies for a flatness-based controller, which has proved to be a useful tool to provide efficient solutions to tracking control tasks. Numerical simulations of a nonlinear coupled tanks system were performed to demonstrate the potential of using such bio-inspired algorithms as tuning methods for nonlinear controllers.

Downloads

Published

2023-10-18

Issue

Vol. 1 No. 2 (2023): Proceedings SBAI2023 e SBSE2023

Section

Articles