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Banca de QUALIFICAÇÃO: JOSÉ KLEITON EWERTON DA COSTA MARTINS

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : JOSÉ KLEITON EWERTON DA COSTA MARTINS
DATA : 28/06/2019
HORA: 15:00
LOCAL: DCA - Sala 2
TÍTULO:

A new method for design of nonlinear PID controllers under constraints using Fuzzy Takagi-Sugeno models.

PALAVRAS-CHAVES:

Takagi-Sugeno Fuzzy Model, Parallel Distributed Compensation, PID Controllers, Polyhedral Lyapunov functions.

PÁGINAS: 40
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
ESPECIALIDADE: Controle de Processos Eletrônicos, Retroalimentação
RESUMO:

Majorly, the existing controllers in the industries are from the PID (Proportional-Integral-Derivative) family developed for linear systems, although the processes are non-linear. Therefore, they present significant loss of performance when operating outside the point of operation for which they were designed. A controller alternative is called a PDC (Parallel Distributed Compensation) which, from a Takagi-Sugeno Fuzzy model, results in a non-linear controller.

The Takagi-Sugeno Fuzzy model is intrinsically non-linear, due to the membership functions that make up its structure. Thus, this model can represent nonlinear systems such that, from the physical model of the system it is possible to obtain a Fuzzy Takagi-Sugeno model that accurately represents it, which contributes to the PDC. The Takagi-Sugeno Fuzzy model can be represented by the composition of local models. In the PDC controller methodology are design local controllers, which can be a PID, are designed for each local model, thus it presents the same rules structure of the Takagi-Sugeno Fuzzy model, that is, the controller shares the same membership functions.

Normally,a guarantee of stability of the PDC takes into account a quadratic Lyapunov function as a candidate thus allowing it to be tested by linear matrix inequalities (LMIs) that are solvable using efficient convex optimization algorithms. However, polyhedral Lyapunov functions have been shown to have advantages over the quadratic function, especially regarding the satisfaction of restrictions in the state, input and output variables, showing their potential to be used to guarantee stability and performance of a PDC controller system. Therefore, this work presents a proposal for the formulation of a methodology for obtaining non linear PID controllers using Takagi-Sugeno Fuzzy model in conjunction with polyhedral Lyapunov functions.

MEMBROS DA BANCA:
Presidente - 1328152 - CARLOS EDUARDO TRABUCO DOREA
Interno - 1451883 - FABIO MENEGHETTI UGULINO DE ARAUJO
Interno - 1445637 - WALLACE MOREIRA BESSA
Externo à Instituição - LEANDRO LUTTIANE DA SILVA LINHARES - IFRN

Notícia cadastrada em: 12/06/2019 16:18