Banca de DEFESA: NIVALDO FERREIRA DA SILVA JUNIOR

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : NIVALDO FERREIRA DA SILVA JUNIOR
DATA : 25/05/2018
HORA: 08:30
LOCAL: Auditório do LAUT
TÍTULO:

Multivariable Nonlinear Iterative Prediction Control Under Restrictions with Reduced Temporary Complexity

PALAVRAS-CHAVES:

Model predictive control, Nonlinear system, Constrained control, Iterative method, Reachable sets, Interval arithmetic.

PÁGINAS: 100
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
ESPECIALIDADE: Controle de Processos Eletrônicos, Retroalimentação
RESUMO:

This thesis deals with the numerical resolution of optimal control problems using an iterative Model Predictive Control (MPC) method for non-linear multivariable systems that satisfies the constraints. This iterative method was recently presented in the literature and avoids the need to solve a nonconvex optimization problem using a time-variant linearization of the nonlinear model of the system, which is iteratively adjusted by solving at each sampling time an iterative optimization problem using the quadratic programming.The main advantage is the faster resolution of the optimal control problem using quadratic programming rather than non-linear programming, while maintaining an appropriate description of the nonlinear dynamics of the process being controlled.The approach presented is an evolution of the original iterative algorithm and includes a modification that improves the optimality of the predictions, based on the convergence analysis of the method, and a tightening strategy of the state definition domain for constraint observance, which is based on reachable sets obtained using the interval arithmetic.Firstly, MPC as an optimal control technique is presented. Next, we analyze some MPC approaches available in the literature that deal with the reduction of the time complexity of the method, and then the proposed approach is introduced, being systematically discussed the convergence of the method and its uncertainty, a new and concise mathematical description of the algorithm, the technique for observing the constraints, as well as the aspects related to its implementation. In sequence, applications of the proposed algorithm are presented to demonstrate the feasibility of the approach used and to emphasize the form of its application.

MEMBROS DA BANCA:
Externo ao Programa - 2453033 - ANDERSON LUIZ DE OLIVEIRA CAVALCANTI
Presidente - 350693 - ANDRÉ LAURINDO MAITELLI
Interno - 1328152 - CARLOS EDUARDO TRABUCO DOREA
Externo à Instituição - ROBERTO KAWAKAMI HARROP GALVAO - ITA
Externo à Instituição - VICENTE DELGADO MOREIRA - PETROBRAS