Decoupling Algorithms for the Gravitational Wave Spacecraft

The gravitational wave spacecraft is a complex multi-input multi-output dynamic system.The gravitational wave detection mission requires the spacecraft to achieve single spacecraft with two laser links and high-precision control.Establishing one spacecraftwith two laser links,compared to one spacecraft with a single laser link,requires an upgraded decoupling algorithmfor the link establishment.The decoupling algorithmwe designed reassigns the degrees of freedomand forces in the control loop to ensure sufficient degrees of freedomfor optical axis control.In addressing the distinct dynamic characteristics of different degrees of freedom,a transfer function compensation method is used in the decoupling process to further minimize motion coupling.The open-loop frequency response of the systemis obtained through simulation.The upgraded decoupling algorithms effectively reduce the open-loop frequency response by 30 dB.The transfer function compensation method efficiently suppresses the coupling of low-frequency noise.

Nonlinear Decoupling PID Control Using Neural Networks and Multiple Models

For a class of complex industrial processes with strong nonlinearity, serious coupling and uncertainty, a nonlinear decoupling proportional-integral-differential （PID） controller is proposed, which consists of a traditional PID controller, a decoupling compensator and a feedforward compensator for the unmodeled dynamics. The parameters of such controller is selected based on the generalized minimum variance control law. The unmodeled dynamics is estimated and compensated by neural networks, a switching mechanism is introduced to improve tracking performance, then a nonlinear decoupling PID control algorithm is proposed. All signals in such switching system are globally bounded and the tracking error is convergent. Simulations show effectiveness of the algorithm.

Decoupling Conditions for Elasto-plastic Consolidation Question Based on Numerical Modeling Method

Elasto-plastic consolidation is one of the classic coupling questions in geomechanics. To solve this problem, an elasto-plastic constitutive model is derived based on the numerical modeling method. The model is applied to Blot＇s consolidation theory. Incremental governing partial differential equations are established using this method. According to the stress path, the decoupling condition of these equations is discussed. Based on these conditions, an incremental diffusion equation and uncoupling governing equations are presented. The method is then applied to numerical analyses of three examples. The results show that （1） the effect of the stress path should be taken into account in the simulation of the soil consolidation question; （2） this decoupling method can predict the evolvement of pore water pressure; （3） the settlement using cam-clay model is less than that using numerical model because of dilatancy.

Modeling and Decoupling of Coupling Tasks in Collaborative Development Process of Complicated Electronic Products

It is important to improve the development efficiency of decoupling a coupling task package according to the information relevancy relation between development tasks in the collaborative development process of complicated electronic products.In order to define the task coupling model in the development process,the weighted directed graph based on the information relevancy is established,and the correspondence between weighted directed graph model and numerical design structure matrix model of coupling tasks is introduced.The task coupling model is quantized,thereby the interactivity matrix of task package is built.A multi-goal task decoupling method based on improved genetic algorithm is proposed to decouple the task coupling model,which transforms the decoupling of task package into a multi-goal optimization issue.Then the improved genetic algorithm is used to solve the interactivity matrix of coupling tasks.Finally,the effectiveness of this decomposition method is proved by using the example of task package decoupling of collaborative development of a radar’s phased array antenna.

Multiple models adaptive feedforward decoupling controller

When the parameters of the system change abruptly, a new multivariable adaptive feedforward decoupling controller using multiple models is presented to improve the transient response. The system models are composed of multiple fixed models, one free-running adaptive model and one re-initialized adaptive model. The fixed models are used to provide initial control to the process. The re-initialized adaptive model can be reinitialized as the selected model to improve the adaptation speed. The free-running adaptive controller is added to guarantee the overall system stability. At each instant, the best system model is selected according to the switching index and the corresponding controller is designed. During the controller design, the interaction is viewed as the measurable disturbance and eliminated by the choice of the weighting polynomial matrix. It not only eliminates the steady-state error but also decouples the system dynamically. The gtobel convergence is obtained and several simulation examples are presented to illustrate the effectiveness of the proposed controller.

Magnetic Properties of One-Dimensional Ferromagnetic Mixed-Spin Model within Tyablikov Decoupling Approximation

In this paper, we apply the two-time Green's function method, and provide a simple way to study themagnetic properties of one-dimensional spin-(S, s) Heisenberg ferromagnets.The magnetic susceptibility and correlationfunctions are obtained by using the Tyablikov decoupling approximation.Our results show that the magnetic susceptibilityand correlation length are a monotonically decreasing function of temperature regardless of the mixed spins.It isfound that in the case of S = s, our results of one-dimensional mixed-spin model is reduced to be those of the isotropicferromagnetic Heisenberg chain in the whole temperature region.Our results for the susceptibility are in agreement withthose obtained by other theoretical approaches.

Decoupling economic growth from CO_2 emissions: A decomposition analysis of China's household energy consumption

This paper analyzes Chinese household CO_2 emissions in 1994-2012 based on the Logarithmic Mean Divisia Index(LMDI) structure decomposition model, and discusses the relationship between household CO_2 emissions and economic growth based on a decoupling indicator.The results show that in 1994-2012, household CO_2 emissions grew in general and displayed an accelerated growth trend during the early 21 st century. Economic growth leading to an increase in energy consumption is the main driving factor of CO_2 emission growth(an increase of 1.078 Gt CO_2) with cumulative contribution rate of 55.92%, while the decline in energy intensity is the main cause of CO_2 emission growth inhibition(0.723 Gt CO_2 emission reduction) with cumulative contribution rate of 38.27%. Meanwhile, household CO_2 emissions are in a weak state of decoupling in general. The change in CO_2 emissions caused by population and economic growth shows a weak decoupling and expansive decoupling state, respectively. The CO_2 emission change caused by energy intensity is in a state of strong decoupling, and the change caused by energy consumption structure ?uctuates between a weak and a strong decoupling state.

The decoupling relationship between China’s economic growth and carbon emissions from the perspective of industrial structure

This study analyses the decoupling relationship between energy-related CO_(2) emissions and economic growth in China from 2000-2017 from the perspective of industrial structure using the LMDI method and Tapio decoupling model.The decoupling driving force was decomposed into emission,energy intensity,industrial structure,economic activity,and population factors.Studies have shown that the restructuring of China’s industries has not led to a significant increase in CO_(2) emissions.Specifically,from 2000 to 2017,China’s economic development and carbon emissions are generally in a weak decoupling state.Strong decoupling occurred from 2000 to 2001 and from 2013 to 2016.The industrial structure change has a substantial impact on the primary sector(agriculture),followed by the tertiary sector(services),while the impact on the secondary sector(industry)is negligible.The GDP contribution of the primary industry is small,but it is an indispensable guarantee for a country.With the development of agricultural mechanization and technology,human and animal power in this industry has been decreasing year by year,and large-scale planting has improved energy efficiency.The level of technology should be continuously strengthened to promote the decoupling of carbon emissions.The contribution of the secondary industry to GDP is around 40%,but the secondary industry accounts for more than 80%of CO_(2) emissions,mainly caused by the use of fossil energy.In 2017,fossil energy still accounted for about 86.2%of China’s energy consumption,so fossil energy remains the most critical energy source for China’s economic development.Coal,in turn,accounts for the largest share of fossil energy consumption.Therefore,emphasis should be placed on increasing technological innovation and conversion from fossil to non-fossil energy sources.The Chinese government considers the service industry a new engine for sustainable social and economic development.The contribution of the tertiary sector to GDP has increased from 2000 to 2017,followed by resource and environmental problems.Although the current share of CO_(2) emissions directly caused by the tertiary sector is not high,as the tertiary sector continues to grow,plans to reduce the decoupling of carbon emissions from the tertiary sector should be made in advance.

DECOUPLED MODEL FOR FLATNESS CONTROL IN 4-H CVC COLD ROLLING MILLS

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Asian Trade Integration and the Decoupling Debate of Business Cycles

＂Decoupling＂ refers to the divergence of business cycles among different countries, while ＂re-coupling＂ corresponds to the convergence or the synchronization of business cycles among different countries. The decoupling debate is popular in the field of economics, especially after global financial crisis. As trade integration increased among Asian countries, business cycle synchronization among these countries was expected to increase through trade transmission. The aim of this study is to discover whether there has been decoupling or convergence of business cycles through various trade channels. However, theoretically, increased trade can lead to business cycle synchronization either rising or falling. Inter-industry trade resulting in higher specification will induce less synchronized business cycles, while intra-industry trade could lead to increased business cycle synchronization. Thus, it is important to distinguish between intra- and inter-industry trade flows. Both correlation and dynamic factor models are utilized to study the evolution of global business cycle linkages. Results indicate that the world factor has become less important in explaining macroeconomic fluctuations from sub-period 1961-1984 to sub-period 1985-2007, while regional factors do not play an important role in explaining aggregate volatility, with the expectation of consumption. Overall, the explanatory power of country factors increases. Domestic consumption and domestic investment variances are more driven by country and idiosyncratic factors than by the world factor, contrary to the output growth fluctuations. Regional factors and country factors also play a more prominent role in explaining gross import fluctuations than in explaining gross exports. Results cast doubt on the strong forms of both the decoupling and the re-coupling hypothesis.

中国经济增长与煤炭消费脱钩及影响因素分析

结合中国各省(区、市)2005~2019年的煤炭消费数据及社会经济发展数据,借助Tapio脱钩模型分析了各省(区、市)煤炭消费与经济增长之间的脱钩情况及时空演变.结果表明:各省(区、市)煤炭消费脱钩状态总体呈现出从增长负脱钩、增长联结向弱脱钩、强脱钩转变的较好趋势,大部分地区处于弱脱钩状态.从空间分布来看,东部地区煤炭消费与经济增长脱钩情况明显优于中部地区与西部地区,强脱钩省(区、市)呈现出由北京市、上海市和四川省这3个省(区、市)向外扩张的趋势,而宁夏与新疆的脱钩状态尚不理想,在增长联结与增长负脱钩之间波动.在此基础上,通过拓展的STIRPAT模型和空间杜宾模型分析了影响各省(区、市)脱钩情况的主要因素,并发现能源结构、能源强度、R&D强度、人口密度、对外开放水平、新造林面积、产业结构因素对煤炭消费脱钩指数具有显著影响.未来应加强减煤工作的顶层设计、技术投入与研发和调整能源结构来促进煤炭消费脱钩.

福建省造纸工业碳排放的灰色关联度、Tapio脱钩分析及情景预测

随着中国2030年前“碳达峰”目标的临近,福建省高能耗、高排放的造纸工业面临严峻的碳减排压力。本研究运用灰色关联度模型,计算总资产、总资产产值率、能源强度和能源结构与CO_(2)排放之间的关联度,通过Tapio脱钩模型,确定造纸工业产出与CO_(2)排放的脱钩状态,利用STIRPAT模型,预测4种情景下CO_(2)排放量,评估福建省造纸工业2030年前实现“碳达峰”目标的潜力。结果表明:(1)福建省造纸工业的总资产、总资产产值率、能源强度和能源结构与CO_(2)排放量关联度相近,且关联性较高;(2) 2007—2021年,福建省造纸工业产出与碳排放呈现6种脱钩状态,在研究期内的大多数年份表现为强脱钩与弱脱钩状态;总资产和能源结构对碳排放起到主要的拉动作用,能源强度是碳排放脱钩的主要驱动力;(3)预测期内(2022—2030年)基准情景与快速发展情景下CO_(2)排放量快速上升,低碳发展情景下CO_(2)排放量增长率相对较低,强低碳发展情景下CO_(2)排放量呈现非常缓慢的上升趋势。最后对降低福建省造纸工业碳排放,促进造纸工业可持续发展提出建议。

基于CAS法的核电工程异形水箱分布质量计算模型

对于形状复杂的大型核电工程储液结构,Housner弹簧-质量模型适用性较差,基于有限元法的流-固耦合数值分析模型复杂、计算和存储量大,难以满足工程设计要求。该文基于声学-结构耦合法(CAS)提出了一种兼顾精度和效率的分布质量模型,通过理论推导从CAS计算结果中剥离得到的器壁动水压强脉冲分量,进而提出器壁单元各节点位置的分布式脉冲附加质量计算公式,精确地考虑了储液容器的形状对液体晃动的影响,同时实现了流-固耦合分析的解耦,有效解决了复杂大型核电工程储液结构的动力分析的难题。以矩形刚性水箱为例,将该文模型的结果与Housner分布模型比较,验证了该模型的合理性和可靠性。针对顶部具有复杂形状水箱的AP1000安全壳结构进行地震动分析,将该文模型与精细的流-固耦合模型进行比较,结果显示:两种模型计算结果吻合性好,该文模型前处理简便且在计算时间效率具有明显优势。该文模型可为核电工程考虑结构-地基、流-固耦合的多因素耦合高效分析奠定基础。

行人过街模拟及车辆右转避障路径规划方法

为解决无信号十字路口右转车辆与同侧过街行人的交互冲突问题,提出一种模拟过街行为的行人过街运动模型,设计了车辆横纵向解耦避障路径规划算法,并进行了仿真实验。使车辆面向动、静态行人时能合理切换避障路径规划策略;同时,将过街运动模型驱动下的行人作为车辆避障对象,以过街模型输出的行人未来轨迹生成车辆纵向速度规划障碍位移—时间区域,从而让行人未来运动状态反馈到车辆避障中。结果表明:本文的行人过街运动模型相对观测值的准确率达到了90%,因此,该模型复现了行人过街过程;能根据行人运动状态切换避障方案,使车辆安全避让过街行人。

基于LMDI和Tapio脱钩模型的甘肃省碳排放研究

在定量核算2005—2021年甘肃省碳排放量和强度的基础上,预测分析基准情景、高排放情景和低排放情景3种发展情景下甘肃省碳达峰时间及路径.研究表明,甘肃省整体脱钩状态较为理想,贡献主要来源于煤炭碳排放量与经济增长长期处于弱脱钩;经济增长具有增排效应,能源强度、能源结构和人口规模具有节能减排效应,尤其是能源强度.从情景预测分析看,基准情景下,甘肃省将在2035年碳排放达到峰值,2035年之后经济与碳排放处于强脱钩状态,很难在2060年之前实现碳中和;高排放情景下,将在2045达到峰值,经济与碳排放一直处于弱脱钩状态,后续实现碳达峰的难度较大;低排放情景下,2030年后经济与碳排放一直处于强脱钩状态,碳排放量下降幅度较大,在2060年之前实现碳中和较为容易.

变长分段直线感应电机数学建模

变长分段直线感应电机参数具有不连续、快速时变及强耦合特性,这给电磁暂态建模带来挑战。该文引入3种时变因子推导出具有参数时变特性的变长分段直线感应电机数学表达式。通过分析变长分段直线感应电机定子与动子的电磁耦合特性及时变因子与状态变量之间的耦合关系,建立定子、动子及时变因子相互解耦的数学模型。仿真结果表明,该数学模型计算的电压、电流和速度与有限元计算结果差别小于6%,验证了数学模型的准确性。硬件在环实验结果表明,在高速工况下数学模型可以准确模拟系统的电磁暂态特性,验证了数学模型的解耦能力及数值运算稳定性。

基于FBG的机器手指尖触觉感知研究

为了提高机器手指尖触觉感知灵敏度和精度,基于机器手指尖触觉感知机理分析,设计了特征分离式双层“十字”型FBG触觉感知单元,并进行了有限元仿真分析,针对感知单元开展了标定实验和抓握感知实验。基于接触温度和抓握力复合感知进行了耦合分析,提出了基于鲸鱼优化算法优化BP神经网络(WOA-BPNN)的解耦方法。实验结果表明:FBG感知单元的接触温度灵敏度为11.255 pm/℃,抓握力灵敏度为17.342 nm/MPa;WOA-BP解耦模型的接触温度平均绝对误差减小了72.53%,抓握力平均绝对误差减小了68.55%。

基于比较研究的华中三省产业结构与低碳经济的关系分析

为了促进中部地区的崛起,实现经济低碳化发展与产业优化转型,研究产业结构与低碳经济之间的相互关系具有重要意义。论文以河南、湖北和湖南三省为研究对象,运用熵值-Topsis法对2007—2022年三省的产业结构与低碳经济指标进行综合测评,并基于脱钩理论与协同学理论,运用Tapio脱钩模型和复合系统协同度模型对2008—2022年三省各自的脱钩状态与协同效应演化进行科学分析。结果表明:(1)研究期内,华中三省的产业结构综合指数和低碳经济综合指数不断提高,整体发展趋势良好。(2)大多数年份三省都处于相对脱钩状态,产业结构综合指数增长速度低于低碳经济综合指数增长速度;湖北率先达到理想的扩张负脱钩状态,湖南次之。(3)2008—2022年三省的协同效应一直较弱,且都具有一定的波动性特征;整体来看,湖北的协同水平略高于河南和湖南。

基于多重互信息约束的高表现力语音转换

随着语音转换在人机交互领域的广泛应用,对于获取高表现力语音的需求日益显著.当前语音转换主要通过解耦声学特征实现,侧重对内容和音色特征的解耦,很少考虑语音中混合的情感特性,导致转换音频情感表现力不足.为解决上述问题,本文提出一种基于多重互信息约束的高表现力语音转换模型(MMIC-EVC).在对内容和音色特征进行解耦的基础上,引入表现力模块分别对话语级韵律和节奏特征进行建模,以实现情感特性的传递;随后通过最小化各特征之间的多重互信息变分对数上界,约束各编码器专注于解耦对应的声学嵌入.在CSTR-VCTK和ESD语音数据集上的实验表明,本模型的转换音频语音自然度评分(MOS)达到3.78,梅尔倒谱失真为5.39 dB,最佳最差占比测试结果大幅领先于基线模型,MMIC-EVC能够有效解耦韵律和节奏特征,并实现高表现力语音转换,为人机交互带来更加出色和自然的用户体验.

黄河流域工业水资源利用与碳排放时空特征及脱钩分析

为了明晰黄河流域工业水资源利用与碳排放的关系,选取工业碳排放量、工业碳排放强度、工业用水量、工业用水强度以及工业碳水系数5个指标,采用全局莫兰指数以及局部莫兰指数分析其空间相关性,并利用Tapio脱钩模型分析黄河流域各省(区)碳水脱钩关系。结果表明:1)各研究指标的空间聚集性表现为强正相关性。2)工业碳排放量高-高聚集区主要分布在甘肃、陕西、山东,低-低聚集区分布在内蒙古、青海;工业碳排放强度高-高聚集区主要分布在青海,低-低聚集区分布在内蒙古;工业用水量高-高聚集区分布在河南,低-低聚集区分布在青海;工业用水强度高-高聚集区和低-高聚集区分布在甘肃;工业碳水系数高-高聚集区分布在青海,低-低聚集区分布在内蒙古和山东。3)在研究期内,黄河流域碳水脱钩关系大部分时间处在负脱钩状态,各省(区)碳水脱钩关系的阶段差异性较大。