Aplicação de controle preditivo não linear multivariável com otimizador à operação transiente de turbina a gás
type: CreativeWork
description: Apply and to investigate a multivariable nonlinear modelbased predictive control strategy to avoid unsafe or inappropriate operation of a gas turbine. In this research, the controller maintains the rotational speed of the compressor constant in accordance with the grid frequency, during load changes. Additionally, in case the gas turbine is installed in a combined heat and power cycle, the discharge temperature must track a reference, to ensure the quality of the generated steam. The control is achieved by manipulation of the fuel flow in the combustion chamber and by adjusting the position of the variable inlet guide vanes of the compressor. The nonlinear dynamic behavior of a gas turbine with an industrial configuration is modeled with the aid of a first principle process simulator, which solves the mass and energy balances and the equations of state and shaft transient. In addition to speed and temperature control, the control strategy is applied to minimize fuel consumption and pollutant emissions. The inherent optimization process of the controller is solved and verified by means of three evolutionary algorithms and one direct search method. The proposed controller is successfully applied to the simulated gas turbine for load fall and load rejection scenarios and the strategy fulfills its goals in reducing fuel consumption and pollutants emissions.
abstract: Apply and to investigate a multivariable nonlinear modelbased predictive control strategy to avoid unsafe or inappropriate operation of a gas turbine. In this research, the controller maintains the rotational speed of the compressor constant in accordance with the grid frequency, during load changes. Additionally, in case the gas turbine is installed in a combined heat and power cycle, the discharge temperature must track a reference, to ensure the quality of the generated steam. The control is achieved by manipulation of the fuel flow in the combustion chamber and by adjusting the position of the variable inlet guide vanes of the compressor. The nonlinear dynamic behavior of a gas turbine with an industrial configuration is modeled with the aid of a first principle process simulator, which solves the mass and energy balances and the equations of state and shaft transient. In addition to speed and temperature control, the control strategy is applied to minimize fuel consumption and pollutant emissions. The inherent optimization process of the controller is solved and verified by means of three evolutionary algorithms and one direct search method. The proposed controller is successfully applied to the simulated gas turbine for load fall and load rejection scenarios and the strategy fulfills its goals in reducing fuel consumption and pollutants emissions.
author: Pires, Thiago da Silva
language: por
keywords: Controle preditivo, Turbinas a gás, Análise não linear de estruturas
date published: 2017-09
date modified: 2026-07-24T01:16:18Z
provider: Brazil UERJ
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Universidade Federal do Rio de Janeiro

PropertyValue
property ID: Handle
value: http://hdl.handle.net/11422/6003