Multi-objective Optimisation Of Distributed Aero-engine Control System Architectures

Aero-engines are developing in the miniaturization, totalization, high performance, and high reliability. Distributed control will become the important and promising direction of aero-engine control. Adoption of a distributed control system has many advantages, such as: fewer and shorter buses, intrinsic partitioning, reduced the number of fault and increased reliability, maintainability and system flexibility. However, it brings some problems of greater complexity, exposure of electronics to severe environments, power distribution, software production costs and management. This thesis studied the application of multi-objective optimization to aero-engine distributed control system architecture design.The structure, functions, advantages of aero-engine distributed control systems were emphatically expatiated in this thesis. Key technology of the distributed control systems for aero-engines was discussed. And then, it gives an overall study and analyze about MOGA, analyses two typical MOGAs: NSGAII and SPEA2 and proposes a Unified Model for Multi-Objective Evolutionary Algorithms with Elitism. At the end, aero-engine distributed control system architecture is optimized by NSGAII. It gives an encoding strategy and objective functions and an optimal solution of the distributed control system architecture. The result shows the solution is useful to help the designer selecting the elitist system architecture.