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Scaling the Microphysics Equations and Analyzing the Variability of Hydrometeor Production Rates in a Controlled Parameter Space
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作者 Chungu Lu Paul Schultz +1 位作者 and Gerald L Browning 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2002年第4期619-650,共32页
A set of microphysics equations is scaled based on the convective length and velocity scales. Comparisons are made among the dynamical transport and various microphysical processes. From the scaling analysis, it becom... A set of microphysics equations is scaled based on the convective length and velocity scales. Comparisons are made among the dynamical transport and various microphysical processes. From the scaling analysis, it becomes apparent which parameterized microphysical processes present off-scaled influences in the integration of the set of microphysics equations. The variabilities of the parameterized microphysical processes are also studied using the approach of a controlled parameter space. Given macroscopic dynamic and thermodynamic conditions in different regions of convective storms, it is possible to analyze and compare vertical profiles of these processes. Bulk diabatic heating profiles for a cumulus convective updraft and downdraft are also derived from this analysis. From the two different angles, the scale analysis and the controlled-parameter space approach can both provide an insight into and an understanding of microphysics parameterizations. 展开更多
关键词 cloud microphysical parameterization scale analysis controlled parameter space numerical weather prediction
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Solution Domain Boundary Analysis Method and Its Application in Parameter Spaces of Nonlinear Gear System 被引量:7
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作者 LIU Haixia WANG Sanmin GUO Jiashun ZHENG Yuqi 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2011年第3期507-513,共7页
Mastering the influence laws of parameters on the solution structure of nonlinear systems is the basis of carrying out vibration isolation and control.Many researches on solution structure and bifurcation phenomenon i... Mastering the influence laws of parameters on the solution structure of nonlinear systems is the basis of carrying out vibration isolation and control.Many researches on solution structure and bifurcation phenomenon in parameter spaces are carried out broadly in many fields,and the research on nonlinear gear systems has attracted the attention of many scholars.But there is little study on the solution domain boundary of nonlinear gear systems.For a periodic non-autonomous nonlinear dynamic system with several control parameters,a solution domain boundary analysis method of nonlinear systems in parameter spaces is proposed,which combines the cell mapping method based on Poincaré point mapping in phase spaces with the domain decomposition technique of parameter spaces.The cell mapping is known as a global analysis method to analyze the global behavior of a nonlinear dynamic system with finite dimensions,and the basic idea of domain decomposition techniques is to divide and rule.The method is applied to analyze the solution domain boundaries in parameter spaces of a nonlinear gear system.The distribution of different period domains,chaos domain and the domain boundaries between different period domains and chaotic domain are obtained in control parameter spaces constituted by meshing damping ratio with excitation frequency,fluctuation coefficient of meshing stiffness and average exciting force respectively by calculation.The calculation results show that as the meshing damping increases,the responses of the system change towards a single motion,while the variations of the excitation frequency,meshing stiffness and exciting force make the solution domain presenting diversity.The proposed research contribution provides evidence for vibration control and parameter design of the gear system,and confirms the validity of the solution domain boundary analysis method. 展开更多
关键词 control parameter space solution domain boundary analysis period domain chaos domain
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基于控制变量参数化方法的自由漂浮空间机器人路径规划 被引量:16
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作者 张旭 曾祥鑫 郎博 《光学精密工程》 EI CAS CSCD 北大核心 2019年第2期372-378,共7页
针对自由漂浮空间机器人传统路径规划方法对基座卫星扰动较大的问题,提出了一种基于控制变量参数化的路径规划方法。该方法将路径规划问题转化成以基座姿态扰动最小为目标函数并满足一系列约束条件的最优控制问题,并采用控制变量参数化... 针对自由漂浮空间机器人传统路径规划方法对基座卫星扰动较大的问题,提出了一种基于控制变量参数化的路径规划方法。该方法将路径规划问题转化成以基座姿态扰动最小为目标函数并满足一系列约束条件的最优控制问题,并采用控制变量参数化方法进行离散化处理,将最优控制问题转化成求解非线性规划问题,并给出了完整的理论收敛性证明,从而准确地估计出自由漂浮空间机器人末端执行器的最优路径。仿真结果表明,与传统的分解加速度方法相比,该方法得到的运动路径所引起的基座卫星姿态扰动为0.104rad,相比传统方法降低了17.53%,验证了所提路径规划方法的有效性与最优性。 展开更多
关键词 自由漂浮空间机器人 姿态扰动 控制变量参数化 路径规划
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