Banca de QUALIFICAÇÃO: DANILO CHAVES DE SOUSA ICHIHARA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : DANILO CHAVES DE SOUSA ICHIHARA
DATA : 28/06/2017
HORA: 15:00
LOCAL: Auditório do LAUT
TÍTULO:

Nonlinear Model Predictive Control based on Parallel Coupled Simulated Annealing

PALAVRAS-CHAVES:

Nonlinear predictive control, Coupled simulated annealing, Parameter estimation, Process control.

PÁGINAS: 60
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
ESPECIALIDADE: Controle de Processos Eletrônicos, Retroalimentação
RESUMO:

Model Predictive control (MPC) is an advanced control technique that has had a significant impact on process industries. There are several reasons for its great acceptance, e.g., it copes with multivariable control problems, naturally considers constraints on input and output variables, and adapts to structural changes. Despite the growing research effort focused on the development of nonlinear predictive control strategies, the use of these techniques in real systems is still a challenge, since the developed algorithms are usually more complex and, sometimes, do not allow real-time applications for fast dynamics systems. Nevertheless, the constant increase in the speed and power of computing makes this perspective real. This way, the purpose of this work is to develop a nonlinear predictive control strategy that uses a stochastic optimization algorithm with great parallel scalability known as Coupled Simulated Annealing (CSA). The strategy aims at solving directly, without approximations of the process model, and in a parallel way, the optimization problem associated to nonlinear MPC for real-time applications in fast dynamics systems. As the model used in predictive control is only a mathematical approximation of the plant, there is a possibility of mismatch between their behaviours. Thus, the proposed strategy seeks to meet the requirement of robustness to model uncertainties, solving the problem adaptively. In the present work, the serial version of CSA was used to simulate the control of a nonlinear chemical reactor with uncertain parameters. The simulation results showed the efficiency and characteristics of the adaptive strategy considering the mismatch between the model and the process.

MEMBROS DA BANCA:
Presidente - 1328152 - CARLOS EDUARDO TRABUCO DOREA
Interno - 1673543 - SAMUEL XAVIER DE SOUZA
Externo ao Programa - 1584174 - DOMINGOS FABIANO DE SANTANA SOUZA