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首页> 外文期刊>International Journal of Aeroacoustics >Robust optimization of integrated aircraft-propulsion system control to meet takeoff noise requirements of supersonic business jet
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Robust optimization of integrated aircraft-propulsion system control to meet takeoff noise requirements of supersonic business jet

机译：飞机推进系统集成控制的稳健优化，可满足超音速公务机的起飞噪声要求

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摘要

The integrated aircraft-propulsion system control is considered from the point of view of the probability of meeting stringent market takeoff noise requirements to supersonic business jet (SSBJ). The probability of meeting requirements to the SSBJ cumulative noise level was considered, by taking into account the accuracy of SSBJ noise prediction models and real-life accuracy of optimal control realization. The robust optimization of integrated aircraft-propulsion system control was used to achieve maximum probability of meeting SSBJ takeoff noise requirements. For robust optimization the IOSO technology (new generation multidimensional nonlinear optimization technology) was used. The results of this paper show the Pareto set probability statement, which allows us to find the set of compromise control laws for different levels of preset probabilities. The paper presents the comparison of conventional deterministic and stochastic approaches to assess maximum probability of meeting of market noise requirements. The proposed stochastic approach to noise reduction allows us to considerably decrease the risk level in meeting future stringent noise requirements.
机译：从满足对超音速公务机（SSBJ）严格的市场起飞噪声要求的可能性的角度考虑了飞机的推进系统集成控制。考虑到SSBJ噪声预测模型的准确性和最佳控制实现的实际准确性，考虑了满足SSBJ累积噪声级别要求的概率。飞机推进系统综合控制的鲁棒优化被用来达到满足SSBJ起飞噪声要求的最大可能性。为了进行稳健的优化，使用了IOSO技术（新一代多维非线性优化技术）。本文的结果显示了帕累托集概率陈述，它使我们能够找到针对不同级别的预设概率的妥协控制定律集。本文介绍了常规确定性方法和随机方法的比较，以评估满足市场噪声要求的最大可能性。提议的随机降噪方法使我们能够大大降低风险水平，以满足未来的严格噪声要求。

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