Banca de QUALIFICAÇÃO: MARIANA DE SOUSA MOURA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE: MARIANA DE SOUSA MOURA
DATA: 16/12/2025
HORA: 14:30
LOCAL: Remota pelo Google Meet
TÍTULO: Improving Neonatal Incubator Control: Tuning RST Controllers with Genetic Algorithms
PALAVRAS-CHAVES: Neonatal incubator; Multivariable Systems; Robust RST Control.
PÁGINAS: 8
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
ESPECIALIDADE: Automação Eletrônica de Processos Elétricos e Industriais
RESUMO:

Abstract: Adequate monitoring and control of neonatal incubator loops provide an environment
with adequate and essential conditions for the newborn. Incubators consist of a multivariable
process with strong coupling between loops. Therefore, they require more advanced and robust
techniques to control the temperature and humidity inside the neonatal incubator cabin. This
work proposes the tuning of PID (Proportional-Integral-Derivative) 2DOF (Two Degree of
Freedom) Digital Controllers with RST structure to control the temperature and humidity loops
of a neonatal incubator and addition of auxiliary poles through genetic algorithms. Performance
was compared with traditional control methods. It was noted that the insertion of auxiliary
poles to the controllers reduces the Controller Effort (CE), the Integral of the Absolute Value
of the Error (IAE) and variations in the output and control signals, in addition to improving
system robustness indices based on module, gain, phase and delay margins.

MEMBROS DA BANCA:
Interno - 1644191 - JOSE MEDEIROS DE ARAUJO JUNIOR
Interno - 1544138 - LUIS GUSTAVO MOTA SOUZA