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Optimal deployment schedule of an active twist rotor for performance enhancement and vibration reduction in high-speed flights

查看全文 作　　者：Young [1]H.YOU;Sung [1]N.JUNG;Chang [1]J.KIM 高影响力作者 机构地区：[1]Department of Aerospace Information Engineering, Konkuk University, Seoul 05019, Republic of Korea高影响力机构 出　　处：《Chinese Journal of Aeronautics》索引2017年第30卷第4期,共14页高影响力期刊 基　　金：supported by Basic Science Research Program through the National Research Foundation of Korea (NRF)funded by the Ministry of Education (No. 2017R1D1A1A09000590) 摘　　要：The best active twist schedules exploiting various waveform types are sought taking advantage of the global search algorithm for the reduction of hub vibration and/or power required of a rotor in high-speed conditions. The active twist schedules include two non-harmonic inputs formed based on segmented step functions as well as the simple harmonic waveform input. An advanced Particle Swarm assisted Genetic Algorithm(PSGA) is employed for the optimizer. A rotorcraft Computational Structural Dynamics(CSD) code CAMRAD II is used to perform the rotor aeromechanics analysis. A Computation Fluid Dynamics(CFD) code is coupled with CSD for verification and some physical insights. The PSGA optimization results are verified against the parameter sweep study performed using the harmonic actuation. The optimum twist schedules according to the performance and/or vibration reduction strategy are obtained and their optimization gains are compared between the actuation cases. A two-phase non-harmonic actuation schedule demonstrates the best outcome in decreasing the power required while a four-phase non-harmonic schedule results in the best vibration reduction as well as the simultaneous reductions in the power required and vibration. The mechanism of reduction to the performance gains is identified illustrating the section airloads, angle-of-attack distribution, and elastic twist deformation predicted by the present approaches. 关 键 词：部署方案 振动 性能 高速飞行 转子 计算流体动力学 全局搜索算法 扭振
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