Research On The Model And Optimization Method For Distributed Integrated Modular Avionics

As one of the important components of modern aviation aircraft,avionics has been gradually developed into an important subject field under the traction of demand and technology.The development of avionics system not only promoted the significant improvement of aircraft performance,but also further improved the profit margin of the operators.Since the design of avionics is a multi-dimensional and multi-objective design problem,the thesis applies the theory and practice of multi-objective optimization to the design of the next generation avionics system based on the model of the avionic architecture.The contents of this thesis includes:Firstly,the current research and development of avionics systems are summarized,and the challenges in the design of next generation avionics systems,i.e.distributed integrated modular avionics are analyzed and elaborated.To further improve the potential of optimal design of distributed integrated modular avionics system under the factors of quality,cost and so on,under the constraint of sufficient security,reliability and resources in the design and optimization of avionics,a multi-level,large-scale model was proposed.The model can be more scalable than the existing models with higher design freedom.Secondly,the current multi-objective optimization algorithms have been studied in details.Aiming at the actual design of avionics system,a constrained decomposition approach with grids for multi-objective optimization and the pareto local search method in multi-objective combinatorial optimization are introduced.A multi-objective optimization algorithm is applied to solve the proposed model.The experimental results show that the proposed model and algorithm can greatly explore the potential of the design of distributed integrated modular avionics architecture.