Mestrado em Engenharia Elétrica

URI Permanente para esta coleção

http://repositorio.ufes.br/handle/10/17619

Nível: Mestrado Acadêmico
Ano de início:
Conceito atual na CAPES:
Ato normativo:
Periodicidade de seleção:
Área(s) de concentração:
Url do curso:

Navegar

Navegando Mestrado em Engenharia Elétrica por Autor "Almeida, Gustavo Maia"

Agora exibindo 1 - 2 de 2
  • Nenhuma Miniatura disponível
    Item
    Proposta de GPC auto-tuning usando algoritmo genético
    (Universidade Federal do Espírito Santo, 2018-04-04) Piontkovsky Filho, Ademir José; Salles, José Leandro Félix; Almeida, Gustavo Maia; Côco, Klaus Fabian
    This dissertation proposes an automatic tuning technique for Generalized Predictive Controller (GPC) with control horizon equal to one to be applied in any plant, with the intention of designing adaptive GPC in auto-tuning mode. The tuning algorithm is initialized through a pre-analysis of the set of tuning parameters that guarantee the stability of the plant in closed loop. Such a region of stability is used by the Genetic Algorithm (GA) to search for the parameters that provide the best overshoot and settling time of the step response. In the preanalysis, one must choose the value of the prediction horizon parameter (hp) andthe desired interval of the λ and δ parameters when evaluating the Root Locus of the characteristic equation of the closed-loop system generated through a graphical interface. Through simulations of auto-tuning mode Adaptive GPC using the GA for stable, unstable, minimum and non-minimal phase plants, it is shown that the proposed algorithm makes AG convergence faster. It is shown in this dissertation that in some plants the stability region of the closed-loop system with the GPC controller does not change when increasing the value of hc, which allows in this case to apply the proposed automatic tuning techniques to the GPC with horizon of control greater than 1. In addition, a tuning rule is proposed for GPC auto-tunning, generated through an offline tuning using genetic algorithm and the graphic interface, for a first-order plant.
  • Nenhuma Miniatura disponível
    Item
    Proposta de um algoritmo GPC adaptativo com baixo custo computacional
    (Universidade Federal do Espírito Santo, 2015-02-10) Mazoco, Bruna Marques; Salles, José Leandro Félix; Munaro, Celso José; Almeida, Gustavo Maia
    This dissertation proposes a new formulation of the Generalized Predictive Control (GPC) algorithm to be applied in industrial plants with time-varying models. The unitary control horizon premisse alows it to be simple enough to be implemented in a Programmable Logic Controller (PLC). The explicit solution of the control increment is obtained from the parameters of the model and the GPC tuning parameters (prediction horizon hp and supression weight ), in addition to past and present inputs and outputs. Supression weight tuning is done by Root Locus technique, constructed from the system closed loop characteristic polynomium, everytime the model parameters of the industrial plant (stable or not in open loop) su er modi fication.