Aerodynamic robust optimization of flying wing aircraft based on interval method
| Autor: | Chuxiong Yan, Feng Li, Yalin Pan, Jun Huang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Continuous optimization
Mathematical optimization Meta-optimization Probabilistic-based design optimization Multidisciplinary design optimization Aerospace Engineering Robust optimization 02 engineering and technology 01 natural sciences 010101 applied mathematics Vector optimization 020303 mechanical engineering & transports 0203 mechanical engineering Control theory Test functions for optimization Random optimization 0101 mathematics Mathematics |
| Zdroj: | Aircraft Engineering and Aerospace Technology. 89:491-497 |
| ISSN: | 1748-8842 |
| DOI: | 10.1108/aeat-09-2016-0145 |
| Popis: | Purpose The purpose of this paper is to propose a robust optimization strategy to deal with the aerodynamic optimization issue, which does not need a large sum of information on the uncertainty of input parameters. Design/methodology/approach Interval numbers were adopted to describe the uncertain input, which only requires bounds and does not necessarily need probability distributions. Based on the method, model outputs were also regarded as intervals. To identify a better solution, an order relation was used to rank interval numbers. Findings Based on intervals analysis method, the uncertain optimization problem was transformed into nested optimization. The outer optimization was used to optimize the design vector, and inner optimization was used to compute the interval of model outputs. A flying wing aircraft was used as a basis for uncertainty optimization through the suggested optimization strategy, and optimization results demonstrated the validity of the method. Originality/value In aircraft conceptual design, the uncertain information of design parameters are often insufficient. Interval number programming method used for uncertainty analysis is effective for aerodynamic robust optimization for aircraft conceptual design. |
| Databáze: | OpenAIRE |
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