Modular Aircraft Design Optimization System Architecture
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Solution Overview
Problem
Existing aircraft design optimization systems are inflexible and incompatible, as they are typically designed for specific aircraft classes, missions, or analysis methods, making it difficult to adapt them to varying configurations and missions, and are often written in different languages, limiting their usability across different scenarios.
Innovation Solution
A modular aircraft design optimization system with an abstracted architecture that allows for seamless reconfiguration of aircraft types, missions, and analysis types, featuring an input circuit, optimizer circuit, and post-processing circuit with abstraction layers, enabling system reuse and faster analysis times by decoupling core integration and convergence code from modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing aircraft design optimization systems are used, then specific aircraft classes or missions can be analyzed, but the systems are inflexible and incompatible with varying configurations and missions
Solution Approach 1:
The patent implements a universal aircraft design optimization system that can handle multiple aircraft classes, mission types, and analysis methods through a common framework. The system uses standardized data structures and modular components that can be configured for different applications without requiring separate specialized systems, thereby achieving multi-functionality and broad adaptability.
Solution Approach 2:
The system divides the aircraft design optimization process into modular, independent components including geometry definition, weight calculation, performance analysis, and optimization algorithms. Each module can be independently configured and combined based on specific aircraft class and mission requirements, enabling flexible adaptation while maintaining system organization.
2Measurement precision
If performance tools are developed for specific aircraft classes or missions, then analysis accuracy for those specific cases is improved, but the tools cannot be adapted to other problems
Solution Approach 1:
The system maintains analysis accuracy across different aircraft classes by using parameterized models and configurable data structures. Instead of developing separate tools for each aircraft class, the system allows parameters such as geometry definitions, performance coefficients, and mission profiles to be changed and configured for different applications, preserving accuracy while enabling adaptability.
3Productivity
If aircraft design optimization systems are written in different languages, then each system can be optimized for its specific implementation, but it becomes difficult to employ a one-size-fits-all approach
Solution Approach 1:
The patent introduces standardized data structures and interface protocols as intermediaries between different optimization algorithms and implementation layers. This allows the system to maintain high-performance specialized implementations while providing a unified, easy-to-use interface that works across different aircraft types and missions, effectively decoupling performance optimization from usability.
Data Source
AI summary
An aircraft design optimization system and associated aircraft design optimization architecture. The aircraft design optimization system may comprise an input circuit to provide input data and an optimizer circuit to receive the input data and to communicate with a plurality of modules to create output data. At least one abstraction layer can be provided between the optimizer circuit and each of the plurality of modules. The optimizer circuit is configured to output the output data to a post-processing circuit. Each of the plurality of modules implements a different function.