No / A multivariable model of an automotive gas turbine, obtained from the linearized system equations is investigated. To facilitate vehicle speed changes, whilst protecting the system against thermal damage, control of the power turbine inlet gas temperature and gas generator speed is proposed by feedback regulation. Fuel flow and the power turbine nozzle area variations are the selected, manipulatable inputs. Owing to the limited control energy available for regulation purposes a multivariable, optimum, minimum control effort strategy is employed in the inner loop controller design study. Simulated, open and closed loop system responses are presented for purposes of comparison. Significant improvements in the transient response interaction reaction times and low steady state output interaction achieved using passive compensation and output feedback alone. Simplification of the closed loop configuration is proposed in the final implementation without performance penalties.

Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-07-30T13:44:39Z No. of bitstreams: 1 RAFAEL BEZERRA CORREIA LIMA - DISSERTAÇÃO PPGEE 2012..pdf: 4664268 bytes, checksum: f5a0acf8cf73f941fd6fc59ff1dcfbb2 (MD5) / Made available in DSpace on 2018-07-30T13:44:39Z (GMT). No. of bitstreams: 1 RAFAEL BEZERRA CORREIA LIMA - DISSERTAÇÃO PPGEE 2012..pdf: 4664268 bytes, checksum: f5a0acf8cf73f941fd6fc59ff1dcfbb2 (MD5) Previous issue date: 2012-08-10 / É proposta nessa dissertação a utilização de conceitos de subespaços na identificação de modelos multivariáveis de ordem reduzida com atrasos. A metodologia desenvolvida se baseia na estimativa da resposta ao degrau do sistema a partir de projeções dos seus sinais de entradas e saídas. O problema é dividido em duas etapas, primeiramente a estimação de modelos em malha aberta seguido do estudo de sistemas em malha fechada. Finalmente os conceitos estudados são postos em prática através de simulações numéricas e experimentações práticas em plantas reais. / It is proposed in this dissertation the use of concepts of subspaces in the identification of multivariable models of reduced order with time delays. The developed methodology is based on the estimation of the step response of the system from projections of its input signals and outputs. The problem is divided into two stages, first: estimating models in open loop, then followed by the study of closed loop systems. Finally, the concepts studied are implemented through numerical simulations and practical experiments in real plants.