Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
Controller Tuning Based on Optimization Metaheuristics Applied to a Twin-Rotor System
Submission Author:
Leandro dos Santos Coelho , PR , Brazil
Co-Authors:
Guilherme da Silva, André Luiz Luppi, Felipe Betoni, Ivan Lucas Reis Silva, Leandro dos Santos Coelho
Presenter: Guilherme da Silva
doi://10.26678/ABCM.COBEM2017.COB17-1317
Abstract
Proportional-integral-derivative (PID) control is the most popular control architecture used in industrial problems. Many techniques have been proposed to tune the gains for the PID controller. Over the last few years, as an alternative to the conventional mathematical approaches, modern optimization metaheuristics, such as evolutionary computation and swarm intelligence paradigms, have been given much attention by many researchers due to their ability to find good solutions in PID tuning. This paper proposes a comparative study of PID tuning based on six optimization metaheuristics applied to an experimental twin-rotor system. The adopted optimization metaheuristics are: (i) firefly algorithm, (ii) harmony search, (iii) multi-verse optimization, (iv) grey wolf optimizer, (v) ant lion optimizer, and (vi) whale optimization algorithm. The results show that the evaluated optimization approaches present good performance in the PID controller tuning when applied to the twin-rotor system in terms of the closed-loop performance.
Keywords
PID controller, Optimization metaheuristics, Swarm intellligence, Evolutionary algorithms, Controller design
