Multi-objective optimisation of systems architectures for distributed aero-engine control systems

Abstract

The increasing use of embedded intelligence to produce smart sensors and actuators offers great potential benefits in adopting a distributed control strategy in aerospace applications. There are many advantages to be gained: fewer and shorter buses, intrinsic partitioning, smaller control box size, increased health monitoring, increased system flexibility and reduced vulnerability to hazardous events. However, this has to be traded off against the problems of greater complexity, processor diversity, accessibility, exposure of electronics to severe environments, power distribution, software production costs and management. In this paper how multi-objective optimisation can be applied to this problem for the application of military gas turbine engines is considered. Copyright.