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Parameter Identification of JONSWAP Spectrum Acquired by Airborne LIDAR 被引量:1
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作者 YU Yang pei hailong XU Chengzhong 《Journal of Ocean University of China》 SCIE CAS CSCD 2017年第6期998-1002,共5页
In this study, we developed the first linear Joint North Sea Wave Project(JONSWAP) spectrum(JS), which involves a transformation from the JS solution to the natural logarithmic scale. This transformation is convenient... In this study, we developed the first linear Joint North Sea Wave Project(JONSWAP) spectrum(JS), which involves a transformation from the JS solution to the natural logarithmic scale. This transformation is convenient for defining the least squares function in terms of the scale and shape parameters. We identified these two wind-dependent parameters to better understand the wind effect on surface waves. Due to its efficiency and high-resolution, we employed the airborne Light Detection and Ranging(LIDAR) system for our measurements. Due to the lack of actual data, we simulated ocean waves in the MATLAB environment, which can be easily translated into industrial programming language. We utilized the Longuet-Higgin(LH) random-phase method to generate the time series of wave records and used the fast Fourier transform(FFT) technique to compute the power spectra density. After validating these procedures, we identified the JS parameters by minimizing the mean-square error of the target spectrum to that of the estimated spectrum obtained by FFT. We determined that the estimation error is relative to the amount of available wave record data. Finally, we found the inverse computation of wind factors(wind speed and wind fetch length) to be robust and sufficiently precise for wave forecasting. 展开更多
关键词 JONSWAP SPECTRUM PARAMETER identification least SQUARE method AIRBORNE LIDAR
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结合空间插值的水污染浓度边界跟踪
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作者 张谦 裴海龙 邬依林 《中山大学学报(自然科学版)(中英文)》 CAS CSCD 北大核心 2022年第2期171-179,共9页
针对水污染扩散浓度边界跟踪的问题,通过随机采样以及比较不同的拟合参数,对浓度场进行地统计学空间插值运算,重构污染源扩散浓度场,再根据浓度场重构时参数拟合的结果,采用模型预测控制方式,对水面移动机器人移动轨迹进行寻优,控制移... 针对水污染扩散浓度边界跟踪的问题,通过随机采样以及比较不同的拟合参数,对浓度场进行地统计学空间插值运算,重构污染源扩散浓度场,再根据浓度场重构时参数拟合的结果,采用模型预测控制方式,对水面移动机器人移动轨迹进行寻优,控制移动机器人移动并最终实现对污染扩散边界进行跟踪。仿真结果表明,该方法能够准确预测浓度场分布,并使得移动机器人快速跟踪到既定浓度边界,验证了该方法的有效性。 展开更多
关键词 浓度场 空间插值 模型预测控制 浓度边界
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3 - 95 GANRA-5 Protects Cultured Cells from Various Radiation Types
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作者 pei hailong Chen Weiqiang +3 位作者 Hu Wentao Liu Tingting Wang Jufang Zhou Guangming 《IMP & HIRFL Annual Report》 2013年第1期163-164,共2页
关键词 英语 阅读 理解 物理研究
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3 - 90 Radiation Induced Bystander Effects Promote Epithelial-Mesenchymal Transition in Mouse Lungs
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作者 Hu Wentao pei hailong +2 位作者 Sun Fang Li Pengfei Zhou Guangming 《IMP & HIRFL Annual Report》 2013年第1期159-159,共1页
关键词 英语 阅读 理解 物理研究
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3 - 96 Guidance of Secondary Radiation Effects in Design of Space Radiation Shielding Materials
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作者 pei hailong Hu Wentao +4 位作者 Li He Ding Nan He Jinpeng Wang Jufang Zhou Guangming 《IMP & HIRFL Annual Report》 2013年第1期164-165,共2页
关键词 英语 阅读 理解 物理研究
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3-72 Biological Effects of Space Radiation on Human Quiescent Fibroblasts
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作者 Ding Nan pei hailong +4 位作者 He Jinpeng Li He Hu Wentao Wang Jufang Zhou Guangming 《IMP & HIRFL Annual Report》 2014年第1期164-165,共2页
Health risk associated with exposure to high-charge and -energy (HZE) particles in outer space has been discusseda lot mainly because its accurate assessment is complex and multifactorial[1??3]. Exponentially growing ... Health risk associated with exposure to high-charge and -energy (HZE) particles in outer space has been discusseda lot mainly because its accurate assessment is complex and multifactorial[1??3]. Exponentially growing cells are themost widely used in vitro model for risk assessment. However, majority of the cells in human body stay quiescent(in G0 phase) even though some cells, such as liver cells and stem cells, can resume cell cycle and enter G1 phase inresponse to exogenous stimuli such as injury[4]. Therefore, it is reasonable to use G0 cells as an in vitro experimentalmodel for risk assessment of space radiation. 展开更多
关键词 BIOLOGICAL EFFECTS RADIATION
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涵道风扇式无人机的优先级控制分配 被引量:5
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作者 蒙超恒 裴海龙 程子欢 《航空学报》 EI CAS CSCD 北大核心 2020年第10期322-333,共12页
涵道风扇式无人机是一种冗余配置操纵面的飞行器,其控制分配问题通常使用伪逆法求解,然而伪逆法不能对任意可达的期望力矩都返回容许控制,使冗余的操纵面牺牲了部分控制能力。提出一种优先级控制分配方法,该方法先对期望力矩进行矢量分... 涵道风扇式无人机是一种冗余配置操纵面的飞行器,其控制分配问题通常使用伪逆法求解,然而伪逆法不能对任意可达的期望力矩都返回容许控制,使冗余的操纵面牺牲了部分控制能力。提出一种优先级控制分配方法,该方法先对期望力矩进行矢量分解并划分优先级,再求解约束最优化问题得到容许控制。相比于伪逆法,所提出的方法可对更大范围的期望力矩返回容许控制,而且当期望力矩不可达时,可以防止系统因执行器饱和而产生输出耦合。将所提出的方法应用到涵道风扇式无人机的控制分配中,仿真及飞行试验验证了该方法的有效性。 展开更多
关键词 涵道风扇式无人机 过驱动系统 控制分配 优先级分配 线性规划
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