| 基于多目标遗传算法的航空发动机总体性能优化设计 |
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| 引用本文： | 李立君,尹泽勇,乔渭阳. 基于多目标遗传算法的航空发动机总体性能优化设计[J]. 航空动力学报, 2006, 21(1): 13-18 |
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| 作者姓名： | 李立君 尹泽勇 乔渭阳 |
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| 作者单位： | 1.西北工业大学 动力与能源学院, 陕西 西安 710072 |
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| 摘 要： | 采用一种基于Pareto最优解的多目标遗传算法—NSGAⅡ算法,以双轴混合排气式涡轮风扇发动机为算例,集成发动机性能模型、流路尺寸模型和质量模型,以单位推力、耗油率等为目标函数进行了多目标优化设计。计算结果表明:NSGAⅡ算法具有较好的稳健性和鲁棒性;基于NSGAⅡ算法的发动机总体性能优化方法能够获得目标空间内分布均匀的Pareto最优解集,有效克服了发动机总体性能方案设计时人工经验依赖较重的缺点,可为决策者进行目标权衡提供充分依据。
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| 关 键 词： | 航空、航天推进系统 航空发动机 多目标优化 遗传算法 总体性能设计 |
| 文章编号： | 1000-8055(2006)01-0013-06 |
| 收稿时间： | 2005-03-27 |
| 修稿时间： | 2005-03-27 |
Performance Optimal Design of Aircraft Engine Based on Multi-Objective Genetic Algorithms |
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| LI Li-jun,YIN Zeyong and QIAO Wei-yang. Performance Optimal Design of Aircraft Engine Based on Multi-Objective Genetic Algorithms[J]. Journal of Aerospace Power, 2006, 21(1): 13-18 |
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| Authors: | LI Li-jun YIN Zeyong QIAO Wei-yang |
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| Affiliation: | 1.School of Power and Engergy, Northwestern Polytechnical University, Xi'an 710072, China2.China Aviation Powerplant Research Institute, Zhuzhou 412002, China |
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| Abstract: | Multi-objective optimization concepts,linked with a Pareto genetic algorithm-Non-dominated Sorting Genetic Algorithm(NSGA Ⅱ),are applied to the preliminary design phase to automate the conceptual design process.Engine cycle selected for study was a mixed-stream,low-bypass turbofan.The robust analysis codes for the thermodynamic engine cycle,flowpath and weight estimation analyses were integrated to find higher quality design.The results showed that NSGA Ⅱ has better robustness and convergence than general multi-objective optimization methods,and could generate uniformly a Pareto optimal set in the design space.From this set,decision maker can choose the best overall optimum aircraft engine preliminary design. |
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| Keywords: | aerospace propulsion system aircraft engine multi-objective optimal design genetic algorithm conceptual design process |
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