Banca de DEFESA: DANIEL GUERRA VALE DA FONSECA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : DANIEL GUERRA VALE DA FONSECA
DATA : 30/10/2019
HORA: 09:00
LOCAL: Auditório do LAUT
TÍTULO:

Explicit Formulation for Generalized Predicitve Control: a Multiparametric Approach

PALAVRAS-CHAVES:

Generalized Predictive Controller, Multiparametric Programming, Multiparametric Explicit GPC, Multiparametric Mixed-Integer Linear Programming

PÁGINAS: 110
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
ESPECIALIDADE: Controle de Processos Eletrônicos, Retroalimentação
RESUMO:

Generalized Predictive Control (GPC) is one of the most traditional and popular Model-based Predictive Control (MPC) techniques in industry and academia and has been applied over decades in several systems to improve the control performance. Among the application areas, GPC can be found in petrochemical, energy, food, automotive and aerospace. This type of controller uses process model information to predict future system behavior. The prediction is made by minimizing a functional cost that produces optimal control actions capable of leading the controlled variables to the desired values. In addition, GPC can deal directly with both MIMO systems and process constraints. However, when considering the constraint set, the controller needs to solve a Quadratic Programming (QP) in real time, which can be prohibitive in certain cases, such as for embedded systems. This work uses multiparametric programming (mp) to generate an Explicit Piece-wise Affine (PWA) control law for GPC (mp-GPC) which holds the same control performance without the need to keep solving the optimization problem at each sample time. Hence, initially, the proposed formulation is compared with GPC based on online QP. The results show that the performance is maintained, reducing the computational time to calculate the control action. Then, a new format is proposed, which differs from the last one by the amount of parameters needed in the mp formulation. Both propositions are applied in three different situations: a MIMO system, a process with input-output delays and a underactuated system. A comparison is made by checking the computational time spent to calculate the control signal, as well as the time required for mp resolution. Finally, studies were initiated involving a Hybrid Multiparametric GPC formulation, which makes use of the resolution of a multiparametric Mixed-Integer Linear Programming (mp-MILP). A nonlinear valve is used as a case study, in which its nonlinear characteristics are treated as discrete dynamics for the optimization problem, in order to minimize its effects. Preliminary results are satisfactory, however, tests on real applications need to be done in future works.

MEMBROS DA BANCA:
Externo ao Programa - 2453033 - ANDERSON LUIZ DE OLIVEIRA CAVALCANTI
Externo à Instituição - ANDRÉ FELIPE OLIVEIRA DE AZEVEDO DANTAS - UnP
Presidente - 350693 - ANDRÉ LAURINDO MAITELLI
Interno - 1328152 - CARLOS EDUARDO TRABUCO DOREA
Externo à Instituição - PERICLES REZENDE BARROS - UFCG