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

EasyChair Preprint no. 13121

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 the proposed of using such bio-inspired algorithms as tuning methods for nonlinear controllers.

Keyphrases: differential flatness theory, Gray Wolf Optimization, Liquid Level Control, Nonlinear Coupled Tanks System, Particle Swarm Optimization

@Booklet{EasyChair:13121,
  author = {Gabriel da Silva Lima and Matheus Bawden Silverio de Castro and Vinicius Rafael de Freitas and Eduardo Perez Liberato and José Oniram de Aquino Limaverde Filho and Eugenio Libório Feitosa Fortaleza and Rafael Valladares de Almeida},
  title = {A Comparative Study of Flatness Controller Tuning Methods using Bio-Inspired Algorithms for a Coupled Tanks System},
  howpublished = {EasyChair Preprint no. 13121},

  year = {EasyChair, 2024}}