The ability to predict the anti-interference communications performance of unmanned aerial vehicle(UAV)data links is critical for intelligent route planning of UAVs in real combat scenarios.Previous research in this a...The ability to predict the anti-interference communications performance of unmanned aerial vehicle(UAV)data links is critical for intelligent route planning of UAVs in real combat scenarios.Previous research in this area has encountered several limitations:Classifiers exhibit low training efficiency,their precision is notably reduced when dealing with imbalanced samples,and they cannot be applied to the condition where the UAV’s flight altitude and the antenna bearing vary.This paper proposes the sequential Latin hypercube sampling(SLHS)-support vector machine(SVM)-AdaBoost algorithm,which enhances the training efficiency of the base classifier and circumvents local optima during the search process through SLHS optimization.Additionally,it mitigates the bottleneck of sample imbalance by adjusting the sample weight distribution using the AdaBoost algorithm.Through comparison,the modeling efficiency,prediction accuracy on the test set,and macro-averaged values of precision,recall,and F1-score for SLHS-SVM-AdaBoost are improved by 22.7%,5.7%,36.0%,25.0%,and 34.2%,respectively,compared with Grid-SVM.Additionally,these values are improved by 22.2%,2.1%,11.3%,2.8%,and 7.4%,respectively,compared with particle swarm optimization(PSO)-SVM-AdaBoost.Combining Latin hypercube sampling with the SLHS-SVM-AdaBoost algorithm,the classification prediction model of anti-interference performance of UAV data links,which took factors like three-dimensional position of UAV and antenna bearing into consideration,is established and used to assess the safety of the classical flying path and optimize the flying route.It was found that the risk of loss of communications could not be completely avoided by adjusting the flying altitude based on the classical path,whereas intelligent path planning based on the classification prediction model of anti-interference performance can realize complete avoidance of being interfered meanwhile reducing the route length by at least 2.3%,thus benefiting both safety and operation efficiency.展开更多
围绕功率变换技术自身发展的历史性主题,对开关-线性复合功率变换技术(Switch-Linearity Hybrid Power Conversion)的由来,及其高效、优波、负载适应性和强鲁棒性等综合特征进行了阐述;以实绩说明了它在电源、传动及客户端电网治理等应...围绕功率变换技术自身发展的历史性主题,对开关-线性复合功率变换技术(Switch-Linearity Hybrid Power Conversion)的由来,及其高效、优波、负载适应性和强鲁棒性等综合特征进行了阐述;以实绩说明了它在电源、传动及客户端电网治理等应用领域提升综合性能的作用;提出了SLH拓扑的构成原则;并为其今后的发展理清了学术思路。展开更多
变幅载荷作用下的疲劳裂纹扩展情况更能够反映海洋结构物真实的疲劳行为。已有的关于载荷次序问题的研究中,多是考虑在定幅值载荷历程中加入单个或多个超载/低载,或加入块状超载/低载,使变幅载荷序列得到简化。文章则主要研究更接近真...变幅载荷作用下的疲劳裂纹扩展情况更能够反映海洋结构物真实的疲劳行为。已有的关于载荷次序问题的研究中,多是考虑在定幅值载荷历程中加入单个或多个超载/低载,或加入块状超载/低载,使变幅载荷序列得到简化。文章则主要研究更接近真实情况的随机载荷序列,超载、低载随机相互作用下的载荷次序效应对海洋结构疲劳裂纹扩展率的影响。首先介绍了载荷次序效应问题的研究现状和基本结论,总结了考虑载荷次序效应的变幅载荷作用下疲劳裂纹扩展模型,然后简单介绍了文中应用的疲劳寿命预报统一方法 (Unified Fatigue Life Prediction,UFLP)的基本思想,最后给出了随机载荷作用下,应用UFLP法计算海洋结构物疲劳裂纹扩展的示例。展开更多
Marine structures are mostly made of metals and always experience complex random loading during their service periods. The fatigue crack growth behaviors of metal materials have been proved from laboratory tests to be...Marine structures are mostly made of metals and always experience complex random loading during their service periods. The fatigue crack growth behaviors of metal materials have been proved from laboratory tests to be sensitive to the loading sequence encountered. In order to take account of the loading sequence effect, fatigue life prediction should be based on fatigue crack propagation（FCP） theory rather than the currently used cumulative fatigue damage（CFD） theory. A unified fatigue life prediction（UFLP） method for marine structures has been proposed by the authors＇ group. In order to apply the UFLP method for newly designed structures, authorities such as the classification societies should provide a standardized load-time history（SLH） such as the TWIST and FALSTAFF sequences for transport and fighter aircraft. This paper mainly aims at proposing a procedure to generate the SLHs for marine structures based on a short-term loading sample and to provide an illustration on how to use the presented SLH to a typical tubular T-joint in an offshore platform based on the UFLP method.展开更多
A new type power convertsion mode is structured by combineing switch power conversion mode with linear amplifica-tion mode, so as to acquire their integrated optimal performances. The theoretical analyses and experime...A new type power convertsion mode is structured by combineing switch power conversion mode with linear amplifica-tion mode, so as to acquire their integrated optimal performances. The theoretical analyses and experimental results are presented in this paper. They are proved that the new type converter can match many kinds of loads, including nonlinear loads, with strong robustness, good waveforms and high efficiency. Its application prospect in industry can be expected, particularly for the conditions where serious static and dynamic performances are required.展开更多
文摘The ability to predict the anti-interference communications performance of unmanned aerial vehicle(UAV)data links is critical for intelligent route planning of UAVs in real combat scenarios.Previous research in this area has encountered several limitations:Classifiers exhibit low training efficiency,their precision is notably reduced when dealing with imbalanced samples,and they cannot be applied to the condition where the UAV’s flight altitude and the antenna bearing vary.This paper proposes the sequential Latin hypercube sampling(SLHS)-support vector machine(SVM)-AdaBoost algorithm,which enhances the training efficiency of the base classifier and circumvents local optima during the search process through SLHS optimization.Additionally,it mitigates the bottleneck of sample imbalance by adjusting the sample weight distribution using the AdaBoost algorithm.Through comparison,the modeling efficiency,prediction accuracy on the test set,and macro-averaged values of precision,recall,and F1-score for SLHS-SVM-AdaBoost are improved by 22.7%,5.7%,36.0%,25.0%,and 34.2%,respectively,compared with Grid-SVM.Additionally,these values are improved by 22.2%,2.1%,11.3%,2.8%,and 7.4%,respectively,compared with particle swarm optimization(PSO)-SVM-AdaBoost.Combining Latin hypercube sampling with the SLHS-SVM-AdaBoost algorithm,the classification prediction model of anti-interference performance of UAV data links,which took factors like three-dimensional position of UAV and antenna bearing into consideration,is established and used to assess the safety of the classical flying path and optimize the flying route.It was found that the risk of loss of communications could not be completely avoided by adjusting the flying altitude based on the classical path,whereas intelligent path planning based on the classification prediction model of anti-interference performance can realize complete avoidance of being interfered meanwhile reducing the route length by at least 2.3%,thus benefiting both safety and operation efficiency.
文摘围绕功率变换技术自身发展的历史性主题,对开关-线性复合功率变换技术(Switch-Linearity Hybrid Power Conversion)的由来,及其高效、优波、负载适应性和强鲁棒性等综合特征进行了阐述;以实绩说明了它在电源、传动及客户端电网治理等应用领域提升综合性能的作用;提出了SLH拓扑的构成原则;并为其今后的发展理清了学术思路。
文摘变幅载荷作用下的疲劳裂纹扩展情况更能够反映海洋结构物真实的疲劳行为。已有的关于载荷次序问题的研究中,多是考虑在定幅值载荷历程中加入单个或多个超载/低载,或加入块状超载/低载,使变幅载荷序列得到简化。文章则主要研究更接近真实情况的随机载荷序列,超载、低载随机相互作用下的载荷次序效应对海洋结构疲劳裂纹扩展率的影响。首先介绍了载荷次序效应问题的研究现状和基本结论,总结了考虑载荷次序效应的变幅载荷作用下疲劳裂纹扩展模型,然后简单介绍了文中应用的疲劳寿命预报统一方法 (Unified Fatigue Life Prediction,UFLP)的基本思想,最后给出了随机载荷作用下,应用UFLP法计算海洋结构物疲劳裂纹扩展的示例。
基金financially supported by the Fourth Term of"333 Engineering"Program of Jiangsu Province(Grant No.BRA2011116)Youth Foundation of Jiangsu Province(Grant No.BK2012095)Special Program for Hadal Science and Technology of Shanghai Ocean University(Grant No.HAST-T-2013-01)
文摘Marine structures are mostly made of metals and always experience complex random loading during their service periods. The fatigue crack growth behaviors of metal materials have been proved from laboratory tests to be sensitive to the loading sequence encountered. In order to take account of the loading sequence effect, fatigue life prediction should be based on fatigue crack propagation（FCP） theory rather than the currently used cumulative fatigue damage（CFD） theory. A unified fatigue life prediction（UFLP） method for marine structures has been proposed by the authors＇ group. In order to apply the UFLP method for newly designed structures, authorities such as the classification societies should provide a standardized load-time history（SLH） such as the TWIST and FALSTAFF sequences for transport and fighter aircraft. This paper mainly aims at proposing a procedure to generate the SLHs for marine structures based on a short-term loading sample and to provide an illustration on how to use the presented SLH to a typical tubular T-joint in an offshore platform based on the UFLP method.
文摘A new type power convertsion mode is structured by combineing switch power conversion mode with linear amplifica-tion mode, so as to acquire their integrated optimal performances. The theoretical analyses and experimental results are presented in this paper. They are proved that the new type converter can match many kinds of loads, including nonlinear loads, with strong robustness, good waveforms and high efficiency. Its application prospect in industry can be expected, particularly for the conditions where serious static and dynamic performances are required.
