Title :
More integrated gas turbine engine controller design
Author :
Chipperfield, A.J. ; Fleming, P.J.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
Abstract :
The paper presents a novel application of evolutionary algorithms to the problem of integrated control system design for gas turbine aero-engines. Using a multiobjective evolutionary algorithm, candidate control configurations are tested on a model of an aircraft engine to assess performance, safety, stability and other design criteria. An example controller integration design problem, considering some of the problems likely to be associated with new variable cycle engine concepts, is considered demonstrating aspects of the proposed approach that allows many design objectives from different disciplines to be considered in parallel. Potential closed loop control configurations are evaluated and compared with one another within an optimization framework. As a result of this analysis it is shown how informed decisions may be made regarding the nature of the control employed, acceptable performance margins and elements of the engine design
Keywords :
control system CAD; aircraft engine; candidate control configurations; closed loop control configurations; controller integration design problem; design criteria; design objectives; engine design; evolutionary algorithms; gas turbine aero-engines; informed decisions; integrated control system design; integrated gas turbine engine controller design; multiobjective evolutionary algorithm; optimization framework; performance margins; variable cycle engine concepts;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971206