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Optimization on turbofan engine cycle parameter based on improved differential evolution algorithm

机译:基于改进差分进化算法的涡扇发动机循环参数优化

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In this paper, a two-spool mixed turbofan is considered. The turbofan is one of the research hotspots for military and civil aircraft power device, which shows outstanding performance advantages. Compared to the turbojet, turbofan is more efficient. For getting the performance of turbofan, the model for engine performance simulation is researched. The method for engine performance simulation and the cycle parameters for turbofan are discussed. For obtaining the optimal design of turbofan, suitable optimization method is required. Unfortunately, the optimization of the turbofan engine design is a non-linear non-differentiable problem, which makes it difficult to solve by conventional deterministic optimization method. In order to solve this problem, the differential evolution (DE) algorithm is considered. To overcome the original algorithm DE limitations, an improved DE algorithm with modifying mutation operator is proposed by this paper. The turbofan optimization problem is solved by employing the improved DE algorithm.
机译:在本文中,考虑了两轴混合涡轮风扇。涡扇发动机是军用和民用飞机动力装置的研究热点之一,具有突出的性能优势。与涡轮喷气发动机相比,涡轮风扇效率更高。为了获得涡扇发动机的性能,研究了发动机性能仿真模型。讨论了发动机性能仿真的方法和涡轮风扇的循环参数。为了获得涡轮风扇的最佳设计,需要合适的优化方法。不幸的是,涡轮风扇发动机设计的优化是非线性不可微的问题,这使得难以通过常规的确定性优化方法来解决。为了解决该问题,考虑了差分进化(DE)算法。为了克服原有算法的局限性,提出了一种改进的带有修改变异算子的DE算法。通过采用改进的DE算法解决了涡扇优化问题。

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