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Advanced composite wing design for next-generation military UAVs:A progressive numerical optimization framework
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作者 M.Atif Yilmaz Kemal Hasirci +1 位作者 Berk Gündüz Alaeddin Burak Irez 《Defence Technology(防务技术)》 2025年第6期141-155,共15页
The design of unmanned aerial vehicles(UAVs)revolves around the careful selection of materials that are both lightweight and robust.Carbon fiber-reinforced polymer(CFRP)emerged as an ideal option for wing construction... The design of unmanned aerial vehicles(UAVs)revolves around the careful selection of materials that are both lightweight and robust.Carbon fiber-reinforced polymer(CFRP)emerged as an ideal option for wing construction,with its mechanical qualities thoroughly investigated.In this study,we developed and optimized a conceptual UAV wing to withstand structural loads by establishing progressive composite stacking sequences,and we conducted a series of experimental characterizations on the resulting material.In the optimization phase,the objective was defined as weight reduction,while the Hashin damage criterion was established as the constraint for the optimization process.The optimization algorithm adaptively monitors regional damage criterion values,implementing necessary adjustments to facilitate the mitigation process in a cost-effective manner.Optimization of the analytical model using Simulia Abaqus~(TM)and a Python-based user-defined sub-routine resulted in a 34.7%reduction in the wing's structural weight after 45 iterative rounds.Then,the custom-developed optimization algorithm was compared with a genetic algorithm optimization.This comparison has demonstrated that,although the genetic algorithm explores numerous possibilities through hybridization,the custom-developed algorithm is more result-oriented and achieves optimization in a reduced number of steps.To validate the structural analysis,test specimens were fabricated from the wing's most critically loaded segment,utilizing the identical stacking sequence employed in the optimization studies.Rigorous mechanical testing revealed unexpectedly high compressive strength,while tensile and bending strengths fell within expected ranges.All observed failure loads remained within the established safety margins,thereby confirming the reliability of the analytical predictions. 展开更多
关键词 Aircraft wing Carbon fiber composite optimization UAV
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Stochastic focusing search:a novel optimization algorithm for real-parameter optimization 被引量:3
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作者 Zheng Yongkang Chen Weirong +1 位作者 Dai Chaohua Wang Weibo 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第4期869-876,共8页
A novel optimization algorithm called stochastic focusing search (SFS) for the real-parameter optimization is proposed. The new algorithm is a swarm intelligence algorithm, which is based on simulating the act of hu... A novel optimization algorithm called stochastic focusing search (SFS) for the real-parameter optimization is proposed. The new algorithm is a swarm intelligence algorithm, which is based on simulating the act of human randomized searching, and the human searching behaviors. The algorithm's performance is studied using a challenging set of typically complex functions with comparison of differential evolution (DE) and three modified particle swarm optimization (PSO) algorithms, and the simulation results show that SFS is competitive to solve most parts of the benchmark problems and will become a promising candidate of search algorithms especially when the existing algorithms have some difficulties in solving certain problems. 展开更多
关键词 swarm intelligence stochastic focusing search real-parameter optimization human randomized searching particle swarm optimization.
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Multi-objective design optimization of composite submerged cylindrical pressure hull for minimum buoyancy and maximum buckling load capacity 被引量:3
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作者 Muhammad Imran Dong-yan Shi +3 位作者 Li-li Tong Ahsan Elahi Hafiz Muhammad Waqas Muqeem Uddin 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2021年第4期1190-1206,共17页
This paper presents the design optimization of composite submersible cylindrical pressure hull subjected to 3 MPa hydrostatic pressure.The design optimization study is conducted for cross-ply layups[0_(s)/90_(t)/0_(u)... This paper presents the design optimization of composite submersible cylindrical pressure hull subjected to 3 MPa hydrostatic pressure.The design optimization study is conducted for cross-ply layups[0_(s)/90_(t)/0_(u)],[0_(s)/90_(t)/0_(u)]s,[0_(s)/90_(t)]s and[90_(s)/0_(t)]s considering three uni-directional composites,i.e.Carbon/Epoxy,Glass/Epoxy,and Boron/Epoxy.The optimization study is performed by coupling a Multi-Objective Genetic Algorithm(MOGA)and Analytical Analysis.Minimizing the buoyancy factor and maximizing the buckling load factor are considered as the objectives of the optimization study.The objectives of the optimization are achieved under constraints on the Tsai-Wu,Tsai-Hill and Maximum Stress composite failure criteria and on buckling load factor.To verify the optimization approach,optimization of one particular layup configuration is also conducted in ANSYS with the same objectives and constraints. 展开更多
关键词 Multi-objective genetic algorithm optimization composite submersible pressure hull Thin shell Material failure Shell buckling
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Design optimization of composite egg-shaped submersible pressure hull for minimum buoyancy factor 被引量:2
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作者 Muhammad Imran Dongyan Shi +2 位作者 Lili Tong Hafiz Muhammad Waqas Muqeem Uddin 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2021年第6期1817-1832,共16页
This paper describes a design optimization study of the composite egg-shaped submersible pressure hull employing optimization and finite element analysis(FEA)tools as a first attempt to provide an optimized design of ... This paper describes a design optimization study of the composite egg-shaped submersible pressure hull employing optimization and finite element analysis(FEA)tools as a first attempt to provide an optimized design of the composite egg-shaped pressure hull for manufacturing or further investigations.A total of 15 optimal designs for the composite egg-shaped pressure hull under hydrostatic pressure are obtained in terms of fibers’angles and the number of layers for 5 lay-up arrangements and 3 unidirectional(UD)composite materials.The optimization process is performed utilizing a genetic algorithm and FEA in ANSYS.The minimization of the buoyancy factor eB:FT is selected as the objective for the optimization under constraints on both material failure and buckling strength.Nonlinear buckling analysis is conducted for one optimal design considering both geometric nonlinearity and imperfections.A sensitivity study is also conducted to further investigate the influence of the design variables on the optimal design of the egg-shaped pressure hull. 展开更多
关键词 composite egg-shaped pressure hull Design optimization Buoyancy factor Material failure Buckling instability
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Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO:A novel hybrid intelligent method 被引量:3
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作者 Behrooz Keshtegar Trung Nguyen-Thoi +1 位作者 Tam T.Truong Shun-Peng Zhu 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2021年第1期85-99,共15页
An effective hybrid optimization method is proposed by integrating an adaptive Kriging(A-Kriging)into an improved partial swarm optimization algorithm(IPSO)to give a so-called A-Kriging-IPSO for maximizing the bucklin... An effective hybrid optimization method is proposed by integrating an adaptive Kriging(A-Kriging)into an improved partial swarm optimization algorithm(IPSO)to give a so-called A-Kriging-IPSO for maximizing the buckling load of laminated composite plates(LCPs)under uniaxial and biaxial compressions.In this method,a novel iterative adaptive Kriging model,which is structured using two training sample sets as active and adaptive points,is utilized to directly predict the buckling load of the LCPs and to improve the efficiency of the optimization process.The active points are selected from the initial data set while the adaptive points are generated using the radial random-based convex samples.The cell-based smoothed discrete shear gap method(CS-DSG3)is employed to analyze the buckling behavior of the LCPs to provide the response of adaptive and input data sets.The buckling load of the LCPs is maximized by utilizing the IPSO algorithm.To demonstrate the efficiency and accuracy of the proposed methodology,the LCPs with different layers(2,3,4,and 10 layers),boundary conditions,aspect ratios and load patterns(biaxial and uniaxial loads)are investigated.The results obtained by proposed method are in good agreement with the literature results,but with less computational burden.By applying adaptive radial Kriging model,the accurate optimal resultsebased predictions of the buckling load are obtained for the studied LCPs. 展开更多
关键词 Adaptive kriging Laminated composite plates Buckling optimization Smooth finite element methods Cell-based smoothed discrete shear gap method(CS-DSG3) Improved PSO
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Contrastive analysis and crashworthiness optimization of two composite thin-walled structures 被引量:4
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作者 谢素超 周辉 +1 位作者 梁习锋 任鑫 《Journal of Central South University》 SCIE EI CAS 2014年第11期4386-4394,共9页
For the safety protection of passengers when train crashes occur, special structures are crucially needed as a kind of indispensable energy absorbing device. With the help of the structures, crash kinetic-energy can b... For the safety protection of passengers when train crashes occur, special structures are crucially needed as a kind of indispensable energy absorbing device. With the help of the structures, crash kinetic-energy can be completely absorbed or dissipated for the aim of safety. Two composite structures(circumscribed circle structure and inscribed circle structure) were constructed. In addition, comparison and optimization of the crashworthy characteristic of the two structures were carried out based on the method of explicit finite element analysis(FEA) and Kriging surrogate model. According to the result of Kriging surrogate model, conclusions can be safely drawn that the specific energy absorption(SEA) and ratio of specific energy absorption to initial peak force(REAF) of circumscribed circle structure are lager than those of inscribed circle structure under the same design parameters. In other words, circumscribed circle structure has better performances with higher energy-absorbing ability and lower initial peak force. Besides, error analysis was adopted and the result of which indicates that the Kriging surrogate model has high nonlinear fitting precision. What is more, the SEA and REAF optimum values of the two structures have been obtained through analysis, and the crushing results have been illustrated when the two structures reach optimum SEA and REAF. 展开更多
关键词 contrastive analysis crashworthiness optimization composite structure Kriging surrogate model finite element analysis
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Heat treatment optimization for tensile properties of 8011 Al/15% SiCp metal matrix composite using response surface methodology 被引量:7
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作者 V.VEMBU G.GANESAN 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2015年第4期390-395,共6页
In this study,a mathematical model was developed to optimize the heat treatment process for maximum tensile strength and ductility of aluminum(8011) silicon carbide particulate composites.The process parameters are so... In this study,a mathematical model was developed to optimize the heat treatment process for maximum tensile strength and ductility of aluminum(8011) silicon carbide particulate composites.The process parameters are solutionizing time,aging temperature,and aging time.The experiments were performed on an universal testing machine according to centre rotatable design matrix.A mathematical model was developed with the main and interactive effects of the parameters considered.The analysis of variance technique was used to check the adequacy of the developed model.The optimum parameters were obtained for maximum tensile strength.Fractographic examination shows the cracks and dimples on the fractured surfaces of heat-treated specimen. 展开更多
关键词 热处理工艺优化 颗粒复合材料 响应曲面法 拉伸性能 金属基体 万能试验机 开发模型
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On the direct searches for non-smooth stochastic optimization problems
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作者 Huang Tianyun 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第4期889-898,共10页
Many difficult engineering problems cannot be solved by the conventional optimization techniques in practice. Direct searches that need no recourse to explicit derivatives are revived and become popular since the new ... Many difficult engineering problems cannot be solved by the conventional optimization techniques in practice. Direct searches that need no recourse to explicit derivatives are revived and become popular since the new century. In order to get a deep insight into this field, some notes on the direct searches for non-smooth optimization problems are made. The global convergence vs. local convergence and their influences on expected solutions for simulation-based stochastic optimization are pointed out. The sufficient and simple decrease criteria for step acceptance are analyzed, and why simple decrease is enough for globalization in direct searches is identified. The reason to introduce the positive spanning set and its usage in direct searches is explained. Other topics such as the generalization of direct searches to bound, linear and non-linear constraints are also briefly discussed. 展开更多
关键词 non-linear programming non-smooth optimization stochastic simulation direct searches positive spanning set convergence analysis pattern selection.
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Composition optimization and performance prediction for ultra-stable water-based aerosol based on thermodynamic entropy theory
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作者 Tingting Kang Canjun Yan +6 位作者 Xinying Zhao Jingru Zhao Zixin Liu Chenggong Ju Xinyue Zhang Yun Zhang Yan Wu 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第3期437-446,共10页
Water-based aerosol is widely used as an effective strategy in electro-optical countermeasure on the battlefield used to the preponderance of high efficiency,low cost and eco-friendly.Unfortunately,the stability of th... Water-based aerosol is widely used as an effective strategy in electro-optical countermeasure on the battlefield used to the preponderance of high efficiency,low cost and eco-friendly.Unfortunately,the stability of the water-based aerosol is always unsatisfactory due to the rapid evaporation and sedimentation of the aerosol droplets.Great efforts have been devoted to improve the stability of water-based aerosol by using additives with different composition and proportion.However,the lack of the criterion and principle for screening the effective additives results in excessive experimental time consumption and cost.And the stabilization time of the aerosol is still only 30 min,which could not meet the requirements of the perdurable interference.Herein,to improve the stability of water-based aerosol and optimize the complex formulation efficiently,a theoretical calculation method based on thermodynamic entropy theory is proposed.All the factors that influence the shielding effect,including polyol,stabilizer,propellant,water and cosolvent,are considered within calculation.An ultra-stable water-based aerosol with long duration over 120 min is obtained with the optimal fogging agent composition,providing enough time for fighting the electro-optic weapon.Theoretical design guideline for choosing the additives with high phase transition temperature and low phase transition enthalpy is also proposed,which greatly improves the total entropy change and reduce the absolute entropy change of the aerosol cooling process,and gives rise to an enhanced stability of the water-based aerosol.The theoretical calculation methodology contributes to an abstemious time and space for sieving the water-based aerosol with desirable performance and stability,and provides the powerful guarantee to the homeland security. 展开更多
关键词 Ultra-stable Water-based aerosol Thermodynamic entropy Composition optimization Performance prediction
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Experimental investigation of engineered geopolymer composite for structural strengthening against blast loads
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作者 Shan Liu Chunyuan Liu +3 位作者 Yifei Hao Yi Zhang Li Chen Zhan Li 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第2期496-509,共14页
The recent increase in blast/bombing incidents all over the world has pushed the development of effective strengthening approaches to enhance the blast resistance of existing civil infrastructures.Engineered geopolyme... The recent increase in blast/bombing incidents all over the world has pushed the development of effective strengthening approaches to enhance the blast resistance of existing civil infrastructures.Engineered geopolymer composite(EGC)is a promising material featured by eco-friendly,fast-setting and strain-hardening characteristics for emergent strengthening and construction.However,the fiber optimization for preparing EGC and its protective effect on structural elements under blast scenarios are uncertain.In this study,laboratory tests were firstly conducted to evaluate the effects of fiber types on the properties of EGC in terms of workability,dry shrinkage,and mechanical properties in compression,tension and flexure.The experimental results showed that EGC containing PE fiber exhibited suitable workability,acceptable dry shrinkage and superior mechanical properties compared with other types of fibers.After that,a series of field tests were carried out to evaluate the effectiveness of EGC retrofitting layer on the enhancement of blast performance of typical elements.The tests include autoclaved aerated concrete(AAC)masonry walls subjected to vented gas explosion,reinforced AAC panels subjected to TNT explosion and plain concrete slabs subjected to contact explosion.It was found that EGC could effectively enhance the blast resistance of structural elements in different scenarios.For AAC masonry walls and panels,with the existence of EGC,the integrity of specimens could be maintained,and their deflections and damage were significantly reduced.For plain concrete slabs,the EGC overlay could reduce the diameter and depth of the crater and spallation of specimens. 展开更多
关键词 Engineered geopolymer composites Fiber optimization Strengthening material Blast resistance Masonry wall Reinforced AAC panel Plain concrete slab
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多策略改进的徒步优化算法及其应用 被引量:2
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作者 徐明 王风富 龙文 《电子测量技术》 北大核心 2025年第3期60-73,共14页
为了解决复杂数值优化问题,提出一种基于柯西逆累积分布算子和随机差分变异策略改进的徒步优化算法。该算法使用佳点集初始化种群,以此增加种群多样性;采用柯西逆累积分布算子,平衡全局搜索与局部开发能力;引入随机差分变异策略,降低过... 为了解决复杂数值优化问题,提出一种基于柯西逆累积分布算子和随机差分变异策略改进的徒步优化算法。该算法使用佳点集初始化种群,以此增加种群多样性;采用柯西逆累积分布算子,平衡全局搜索与局部开发能力;引入随机差分变异策略,降低过早陷入局部最优的风险。实验结果显示,该算法在CEC2017测试集上的平均性能优于8种对比算法。统计检验进一步证实了性能差异具有显著性。同时,从CEC2017测试集中选取9个有代表性的测试函数,通过对比试验,分别验证了该算法中三种改进策略的有效性。此外,将该算法应用到光伏模型参数辨识中,实现了较小的均方根误差2.43×10~(-3),为所有比较算法中的最优值。在另外两类工程设计问题中,该算法均取得了最小目标函数值,优于对比算法。综上所述,改进的徒步优化算法在全局搜索能力、收敛速度和精度方面表现出色,有效提升了解决复杂数值优化问题的性能。 展开更多
关键词 徒步优化算法 佳点集 柯西逆累积分布算子 随机差分 光伏模型
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基于优选模型和灰狼算法的注塑工艺参数优化 被引量:1
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作者 林峰 孙永华 +2 位作者 李国琳 李西兵 连灿鑫 《塑料》 北大核心 2025年第1期100-107,共8页
采用Moldflow软件对食品保鲜盒盖的注塑成型过程进行模拟分析,目的是通过优化注塑工艺参数,最大限度地减小产品的体积收缩率,从而提高产品质量。采用筛选试验设计的方法,确定对注塑成型过程影响较显著的参数。然后,构建多个近似模型,并... 采用Moldflow软件对食品保鲜盒盖的注塑成型过程进行模拟分析,目的是通过优化注塑工艺参数,最大限度地减小产品的体积收缩率,从而提高产品质量。采用筛选试验设计的方法,确定对注塑成型过程影响较显著的参数。然后,构建多个近似模型,并对这些模型进行细致的比较分析,筛选出性能最佳的模型。最后,利用灰狼优化算法对最优模型进行参数优化,得到最优注塑工艺参数组合,并进行模拟验证和实际验证。结果表明,采用优化后的注塑工艺参数组合制备的产品的体积收缩率显著减小,由初始的5.837%下降至4.01%,下降了31.3%,证明了结合计算机模拟、更优的模型和智能优化算法在注塑工艺优化中具有有效性及较好的应用潜力。 展开更多
关键词 注塑工艺参数 筛选试验设计 中心复合试验 最优拉丁超立方抽样 灰狼优化算法
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黄精药渣固态发酵生产蛋白质饲料工艺条件优化 被引量:1
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作者 丁梁斌 路光明 +1 位作者 汤敏 徐铮 《饲料工业》 北大核心 2025年第5期125-133,共9页
以黄精药渣为原料,优选固态发酵生产蛋白饲料工艺条件。采用单因素试验和响应面试验优化混合菌协同复合酶发酵制备蛋白饲料工艺条件。最佳工艺条件为:料液比0.55 g/mL,发酵pH为4.5,纤维素酶添加量0.26%,木聚糖酶添加量0.05%,产朊假丝酵... 以黄精药渣为原料,优选固态发酵生产蛋白饲料工艺条件。采用单因素试验和响应面试验优化混合菌协同复合酶发酵制备蛋白饲料工艺条件。最佳工艺条件为:料液比0.55 g/mL,发酵pH为4.5,纤维素酶添加量0.26%,木聚糖酶添加量0.05%,产朊假丝酵母添加量9.90%,白腐菌添加量7.50%,发酵温度37℃。在最优工艺条件下,黄精药渣发酵产物的粗蛋白含量为19.79%、粗纤维含量为3.87%,粗蛋白含量增加9.17%,粗纤维含量降低3.08%。混合菌协同复合酶固态发酵黄精药渣可提高粗蛋白含量,同时降低粗纤维含量,为蛋白饲料的制备提供了新方向。 展开更多
关键词 黄精药渣 混合菌 复合酶 固态发酵 蛋白饲料 工艺优化
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狮子洋大桥设计风参数及主梁断面气动优化研究 被引量:1
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作者 赵林 刘鹏 +2 位作者 徐军 崔冰 崔巍 《桥梁建设》 北大核心 2025年第1期15-23,共9页
狮子洋大桥为主跨2180 m的双层桥面板桁-箱桁组合钢梁悬索桥,该桥中跨桥面高度处设计基准风速高达48.0 m/s。为确保该超大跨度悬索桥运营阶段的抗风安全性,围绕主梁气动外形优化开展多方案抗风性能比选及风致振动性能评价。结合气象站... 狮子洋大桥为主跨2180 m的双层桥面板桁-箱桁组合钢梁悬索桥,该桥中跨桥面高度处设计基准风速高达48.0 m/s。为确保该超大跨度悬索桥运营阶段的抗风安全性,围绕主梁气动外形优化开展多方案抗风性能比选及风致振动性能评价。结合气象站概率统计模型设计风速和混合气候模式设计风速,确定狮子洋大桥桥位处设计风参数;对5种主梁方案开展主梁节段模型风洞试验,进行主梁方案比选和颤振稳定性气动措施优化、不同扭转阻尼比下涡激共振稳定性评价以及台风气候模式下多模态抖振频域计算。结果表明:桥位设计基本风速取34.9 m/s;颤振稳定性方面,对5种主梁方案,上、下层桥面设置通长纵梁能显著改善主梁断面的气动稳定性,增设桥面底部中央稳定板、封闭下层桥面底部和上、下弦杆风嘴可进一步提升抑振效果;涡激共振响应方面,当扭转阻尼比达到0.32%时,扭转涡激共振基本消失;抖振响应方面,台风下主梁抖振响应显著高于《公路桥梁抗风设计规范》(JTG/T 3360-01—2018)规定的百年重现期内设计风速下抖振响应。推荐主梁方案为上、下层桥面系分别采用正交异性钢桥面板和整体式箱梁的双层桥面板桁-箱桁组合钢梁,其主梁断面可满足颤振、涡激共振和抖振的抗风安全设计要求。 展开更多
关键词 悬索桥 双层桥面板桁-箱桁组合钢梁 台风 风致振动 气动选型 风洞试验
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基于SVRG全局优化的机器人手眼标定
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作者 王一凡 黄涛 张小明 《机床与液压》 北大核心 2025年第9期1-7,共7页
聚焦于机器人加工视觉导引中的机器人手眼关系X的精确求解。奇异值分解方法求解时易受到外界环境的干扰,传统分步标定方式将手眼关系X中的旋转矩阵和平移分量分开估计,容易导致标定误差逐渐积累。为此,提出一种基于SVRG优化方法的标定... 聚焦于机器人加工视觉导引中的机器人手眼关系X的精确求解。奇异值分解方法求解时易受到外界环境的干扰,传统分步标定方式将手眼关系X中的旋转矩阵和平移分量分开估计,容易导致标定误差逐渐积累。为此,提出一种基于SVRG优化方法的标定方法。采用Kronecker积和奇异值分解来求解标定方程,得到初步解,并随后通过SVRG迭代算法对目标函数进行进一步优化,以提升解的精确性。通过不同噪声水平以及不同标定数据数量的仿真标定试验和机器人手眼标定平台数据集进行了算法验证与分析,并与4种经典求解方法进行比较。研究结果表明,SVRG方法有效控制了迭代过程中噪声方差的收敛,其几何误差的平均值为0.564,标准差为0.271,相较其他4种经典求解方法在准确性和效率方面均具有优势,有助于提高工业机器人加工测量过程中的精度以及可靠性。 展开更多
关键词 机器人加工 全局优化 手眼标定 SVRG优化
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线性Markov跳变随机系统的Pareto最优控制
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作者 王乐 崔凯 +2 位作者 蒋秀珊 赵东亚 张维海 《控制理论与应用》 北大核心 2025年第1期59-66,共8页
目前针对多个主体、多个目标的带有Markov跳变的线性随机系统的控制问题的研究较少且较为浅显.本文研究了具有乘性噪声的连续时间线性Markov跳变随机系统的Pareto最优控制问题.假设多个主体、多个性能指标由状态和控制变量中的二次部分... 目前针对多个主体、多个目标的带有Markov跳变的线性随机系统的控制问题的研究较少且较为浅显.本文研究了具有乘性噪声的连续时间线性Markov跳变随机系统的Pareto最优控制问题.假设多个主体、多个性能指标由状态和控制变量中的二次部分和线性部分的线性组合而形成,证明了Pareto最优与加权和优化之间的关系,从而将多目标优化问题转化为特殊的单目标加权和最优控制问题.基于Pareto博弈理论与广义Itô公式,系统的Pareto有效策略可以通过一组耦合的广义Riccati微分方程与一组耦合的线性微分方程求解,并且可以得到每一个控制器的Pareto解.最后,本文通过数值仿真验证理论结果的有效性. 展开更多
关键词 MARKOV跳变 随机系统 Pareto控制 最优控制系统
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基于RCMFFDE和SSA-RVM的旋转机械损伤检测模型 被引量:1
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作者 王显彬 孙阳 《机电工程》 北大核心 2025年第3期510-519,共10页
针对旋转机械系统的振动信号具有明显的非线性,严重影响故障特征提取从而导致其识别精度不佳的问题,建立了一种基于精细复合多尺度分数波动散布熵(RCMFFDE)、t-分布随机邻域嵌入(t-SNE)和麻雀搜索算法优化相关向量机(SSA-RVM)的旋转机... 针对旋转机械系统的振动信号具有明显的非线性,严重影响故障特征提取从而导致其识别精度不佳的问题,建立了一种基于精细复合多尺度分数波动散布熵(RCMFFDE)、t-分布随机邻域嵌入(t-SNE)和麻雀搜索算法优化相关向量机(SSA-RVM)的旋转机械损伤检测模型。首先,进行了基于RCMFFDE方法的特征提取,生成了特征样本,以定量反映旋转机械的不同损伤情况;然后,采用t-SNE方法,将原始高维故障特征映射至低维空间,获得了对故障更敏感的低维特征;最后,将敏感的低维故障特征向量输入至SSA-RVM多分类器中,进行了训练和测试,实现了旋转机械样本的故障识别目的;采用两种旋转机械数据集进行了实验,并从准确率、效率和抗噪性方面,将RCMFFDE-SSA-SVM方法与多种特征提取方法进行了对比。研究结果表明:RCMFFDE能用于有效提取旋转机械的故障特征,分别取得99.2%和100%的识别精度;而对敏感特征进行分类所获得的精度优于对原始特征进行分类的情形,前者比后者提高了4%;在模式识别中,SSA-RVM优于其他分类器;自制数据集的诊断精度达到了97%,特征提取的时间为16.05 s。 展开更多
关键词 非线性振动信号 特征提取时间 故障识别精度(诊断精度) 精细复合多尺度分数波动散布熵 t-分布随机邻域嵌入 麻雀搜索算法优化相关向量机
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融合深度神经网络的电力系统经济-环保随机调度方法
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作者 陈远扬 谭益 李勇 《电网技术》 北大核心 2025年第5期1993-2003,共11页
通过优化调度改善电网有功潮流分布、减小火电大气污染物与二氧化碳排放,是实现电力系统环保、经济、安全运行的重要途径。针对含碳捕集电厂、风力发电、常规火电等多种电源的电力系统,该文综合考虑二氧化碳与大气污染物排放、风电出力... 通过优化调度改善电网有功潮流分布、减小火电大气污染物与二氧化碳排放,是实现电力系统环保、经济、安全运行的重要途径。针对含碳捕集电厂、风力发电、常规火电等多种电源的电力系统,该文综合考虑二氧化碳与大气污染物排放、风电出力随机性、N-1故障等多类型因素,建立了面向环保、安全、经济运行的电力系统有功随机调度模型。在该模型中,目标函数考虑了火电的环保与燃料成本、风电成本、N-1故障后校正控制成本等因素,约束条件包括正常运行约束、N-1故障后计及校正控制的电网安全约束等。针对所提有功随机调度模型的特点,该文提出了融合全连接型深度神经网络的快速高效求解方法。该方法通过全连接型深度神经网络构建用于优化软件寻优搜索的初始点,进而加速所提模型的求解过程。最后,该文通过3个修改后的IEEE测试系统验证了所提模型与方法的有效性。 展开更多
关键词 环保-经济调度 碳捕集电厂 风电 随机优化 深度神经网络
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基于产消者随机博弈决策的共享储能协同优化
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作者 张帅 张涛 +4 位作者 裴玮 马腾飞 肖浩 施婕 何传鑫 《储能科学与技术》 北大核心 2025年第8期3216-3228,共13页
随着共享储能运营模式的不断发展,其已逐渐成为促进产消者点对点交易、提高经济效益的重要手段。但是产消者之间交易行为的不确定性,以及与共享储能之间复杂的交互关系,增加了点对点交易及共享储能优化运行的难度。基于此,本工作提出了... 随着共享储能运营模式的不断发展,其已逐渐成为促进产消者点对点交易、提高经济效益的重要手段。但是产消者之间交易行为的不确定性,以及与共享储能之间复杂的交互关系,增加了点对点交易及共享储能优化运行的难度。基于此,本工作提出了一种基于产消者随机博弈决策的共享储能协同优化方法。为应对多产消者交易互动中的强不确定性问题,以产消者经济效益最大化为目标,构建了基于随机博弈的产消者点对点交易决策模型。通过利用随机博弈中的Markov决策过程对产消者进行多阶段交易行为建模,降低了不确定性对点对点交易的影响。并结合供需比价格机制计算最优交易价格,优化交易策略。将优化后的产消者群体视作一个联盟,与共享储能进行交易,考虑共享储能的运行特点,进一步通过最大化经济效益优化共享储能的充放电策略,解决了产消者与共享储能之间的协同优化问题,进而实现双方经济效益的最大化。最后通过仿真验证,证明了本工作提出方法的有效性。 展开更多
关键词 随机博弈 点对点交易 共享储能 协同优化 供需比价格机制
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基于机器学习的酸性气藏地下储气库硫化氢含量预测方法 被引量:1
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作者 冯国庆 杜勤锟 +3 位作者 周道勇 蔡家兰 程希 莫海帅 《天然气工业》 北大核心 2025年第2期159-169,共11页
地下储气库(以下简称储气库)中含有硫化氢等有害气体,不仅影响储气库的安全运行,还直接对环境造成严重污染,准确预测储气库采出气组分中H2S的含量具有重要意义。目前,常采用油藏数值模拟的组分模型来预测H2S含量,但其计算过程复杂且耗... 地下储气库(以下简称储气库)中含有硫化氢等有害气体,不仅影响储气库的安全运行,还直接对环境造成严重污染,准确预测储气库采出气组分中H2S的含量具有重要意义。目前,常采用油藏数值模拟的组分模型来预测H2S含量,但其计算过程复杂且耗时较长,不能方便快捷地用于储气库单井H2S的含量预测。为此,以HCX储气库为研究对象,在建立储气库的机理模型并开展数值模拟的基础上,以机理模型计算的储气库多周期H2S预测结果为样本集,应用多输出支持向量回归(MSVR)、长短期记忆网络(LSTM)、人工神经网络(ANN)3种机器学习算法建立了硫化氢含量的智能代理模型,并对3种模型预测精度进行对比分析。研究结果表明:①长短期记忆网络模型具有适中的训练时间、较好的预测精度,可将该模型作为HCX储气库的H2S预测智能代理模型;②进一步对LSTM模型的训练数据和过渡拟合问题进行优化,确定最佳训练数集1500组,最佳丢弃率为0.2,隐含层设置范围可控制在层数1~2层,节点数30~60个;③经HCX储气库的实例应用表明,建立的LSTM智能代理模型能够准确预测储气库采出气中H2S的含量。结论认为,经过优化的LSTM算法智能代理模型具有较好的外推性,该研究成果可为含H2S储气库的建设和安全高效运行提供技术支持。 展开更多
关键词 含硫储气库 数值模拟 组分模拟 硫化氢含量预测 机器学习 长短期记忆网络模型 机器学习模型优化
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