首页> 外文会议>2007年国际流体动力传输与控制学术会议 >Dual-level Multi-objective Genetic Optimization Design for Electro-Hydraulic Compound Actuator (EHCA)
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Dual-level Multi-objective Genetic Optimization Design for Electro-Hydraulic Compound Actuator (EHCA)

机译:电动液压复合执行器(EHCA)的双层多目标遗传优化设计

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Electro-hydraulic Compound Actuator (EHCA) applied in the More Electric Aircraft has the cross-coupling integrations in multidomain of electrical, thermal, hydraulic and mechanical aspects which are key considerations to obtain optimum system performance. Response frequency, efficiency and temperature rising are three main characteristics of all. The methodology for ensuring that the EHCA can continually operate in fast response and reliable situation with optimized performance is presented as dual-level multi-objective genetic optimization design to meet the above three demands in this paper. Furthermore, the relevant objective functions are built. Finally, the improved non-dominated sorting genetic algorithm (NSGAⅡ) is applied to solve the dual-level three objectives optimization problem. The results show that this method is effective and provide an approach for the further complicated optimization including more considerations.
机译:在More Electric Air飞机上使用的电动液压复合执行器(EHCA)在电气,热力,液压和机械方面的多领域具有交叉耦合集成,这是获得最佳系统性能的关键考虑因素。响应频率,效率和温升是所有这三个主要特征。为满足以上三个要求,提出了一种确保多级遗传优化设计的方法,该方法可确保EHCA能够在快速响应和可靠的情况下连续运行并具有优化的性能。此外,建立了相关的目标函数。最后,将改进的非支配排序遗传算法(NSGAⅡ)用于解决双层三目标优化问题。结果表明,该方法是有效的,并且为进一步复杂的优化提供了一种途径,需要进行更多的考虑。

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