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NARX-GA-Elman Method for Mach Number Prediction of Wind Tunnel Flow Field

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Instrumentation 2023年第4期10卷 50-63页

作者： SHAO Yawen zhao luping College of Information Scienceand Engineering Northeastern UniversityShenyang 110819China

Mach number is a key metric in the evaluation of wind tunnel flow field *** complex process of wind tunnel test mainly has the problems of nonlinearity and time *** order to overcome the problems and control the Mach number stability,this paper proposes a new method of Mach number prediction based on a nonlinear autoregressive exogenous-genetic algorithm-Elman(NARX-GA-Elman)model,which adopts NARX as the basic framework,determines the order of the input variables by using the false nearest neighbor(FNN),and uses the dynamic nonlinear network Elman to fit the model,and finally uses the global optimization algorithm GA to optimize the weight thresholds in the model to establish the Mach number prediction model with optimal performance under single working *** comparing with the traditional algorithm,the prediction accuracy of the model is improved by 61.5%,and the control accuracy is improved by 55.7%,which demonstrates that the model has very high prediction accuracy and good stability performance.

关键词： Wind Tunnel System Predictive Control Mach Number Prediction NARX-GA-Elman

Two-Direction Residual Recursive Quality Prediction for Multi-Mode Multi-Phase Batch Processes 32

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Two-Direction Residual Recursive Quality Prediction for Mult...

第32届中国控制与决策会议

作者： zhao luping Huang Xin Wang Shu Chang Yuqing College of Information Science and Engineering Northeastern University

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

In batch processes,in order to meet different market demands,multiple operating conditions are required in the same production process,which forms a variety of process *** addition,the operating conditions in each batch process also have multi-phase ***,different batch processing modes and different batch phase may have different behaviors and affect the final product *** on the multi-phase residual recursive in a single mode,a two-direction residual recursive model is established for multi-phase and multi-mode batch processes in this ***,a phase mean model is established to represent the process variable correlations for the entire *** to the multi-phase characteristics,the residual prediction quality of each phase is obtained by *** recursion is repeated in the within-batch *** the same modeling strategy is applied for the inter-mode direction,and the two-direction residual recursive model for multi-phase and multi-mode batch processes is *** application to the injection molding process has proved the effectiveness of the proposed method.

关键词： Multi-mode Multi-phase Residual recursive model Inter-mode modeling Quality prediction

Soft Sensor Modeling of Process Industrial Process with Uncertain Information 32

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Soft Sensor Modeling of Process Industrial Process with Unce...

第32届中国控制与决策会议

作者： Chang Yuqing Xu Diwu Feng Wanjun Wang Shu zhao luping School of information science and engineering Northeaster University Chongqing Silian measurement and control technology co.LTD

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

A soft-sensing model for key parameters of process industry driven by both qualitative and quantitative information is proposed,which aims at the characteristics that key parameters in process industry can not be measured online,multi-sub-processes,qualitative information and quantitative information *** the sub-processes with quantitative information as the main part,a small amount of qualitative information in the process is quantified,and the sub-process model is established by data-based modeling method;for the sub-processes with qualitative information as the main part,a small amount of quantitative information in the process is quantified,and the sub-process model is established by knowledge-based modeling *** soft sensing results of the final key parameters are obtained by using the model *** on the hydrometallurgical process,a hybrid soft sensor model based on case-based reasoning（CBR） and RBF network in series is *** simulation results show that the model is effective.

关键词： hydrometallurgy gold mud grade qualitative information quantitative information soft sensing

Nozzle Temperature Control of Injection Molding Processes

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Nozzle Temperature Control of Injection Molding Processes

第32届中国过程控制会议(CPCC2021)

作者： luping zhao Shiliang Liu College of Information Science and Engineering Northeastern University

Temperature control is a very important link in the injection molding process,and it is the basic condition for the production of high-quality plastic *** injection molding process is a typical intermittent process with multi-stage ***,the existing temperature control research of the injection molding process does not analyze the multistage characteristics of the injection molding *** paper proposes a stage temperature control algorithm based on Smith estimation control and feedforward-Smith estimation control for the injection molding process,regulating the nozzle temperature in the injection stage and packing-holding *** simulation results show that the proposed stage temperature control system is better than the single closed loop PID control and achieves better control effect.

关键词： Injection molding process Temperature control Smith estimation control Feedforward-Smith estimation control

Statistical Modeling and Monitoring for the Between-mode Transition of Multimode Processes

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Statistical Modeling and Monitoring for the Between-mode Tra...

第30届中国控制与决策会议

作者： Zhenpeng Gao Mingxing Jia Zhizhong Mao luping zhao College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

In the present work, a new statistical modeling and monitoring strategy is proposed for the between-mode transition of multimode processes. It is commonly accepted that the between-mode transition has some characteristics across its two neighboring modes to a certain extent. On the other hand, different from a stable mode, transition stages present the underlying trend from one mode to another. Thus, in this paper, the model structure is separated into two subspaces. One stays invariable extracting the public characteristics. While the other subspace changes in order to follow the evolvement of the transition. The proposed strategy conducts an in-depth statistical investigation to the nature of the between-mode transition from a view of the correlations between the transition and its two neighboring modes. A more detailed analysis platform for fault detection is provided, which improves the transition monitoring *** shows the effectiveness of the proposed strategy.

关键词： Multimode processes Subspace separation Between-mode transition modeling and monitoring

死生亦大矣?——格非小说中的自杀书写与反乌托邦沉思

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当代作家评论 2020年第2期 109-113页

作者：赵路平北京大学中文系

自杀作为一种特殊的死亡方式,是人类对自我生命的自觉毁灭,是人类自我意识的强烈表现。在漫长的文明进程中,人们从哲学、社会学等角度多次追问"人是否有权利自杀?""人为何要自杀?""自杀的意义何在?"而文学则以其丰富的想象力与高度的艺... 详细信息

自杀作为一种特殊的死亡方式,是人类对自我生命的自觉毁灭,是人类自我意识的强烈表现。在漫长的文明进程中,人们从哲学、社会学等角度多次追问"人是否有权利自杀?""人为何要自杀?""自杀的意义何在?"而文学则以其丰富的想象力与高度的艺术性,对自杀进行了形象且具体的表现,深刻而永恒的思考。从中国文学奠基之作《史记》中义勇之士的杀身成仁,到古典文学巅峰之作《红楼梦》中柔弱女性的以死明志,自杀似乎存有一个关系着作品人物气节与作者人格理想的恒定意义。

关键词：反乌托邦人格理想人类自我意识格非小说文明进程奠基之作死亡方式古典文学

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地缘环境研究的理念及议程与路径

地理学报 2023年第1期78卷 198-213页

作者：胡志丁张喆赵路平华东师范大学世界地理与地缘战略研究中心上海200062 华东师范大学全球创新与发展研究院上海200062 华东师范大学传播学院上海200241

地缘环境研究已经成为当前国内地缘政治研究的重点方向,汇聚了国内地缘政治研究力量,推动了国内地缘政治学科的复兴。本文在总结分析国内外地缘政治、地缘环境相关研究最新发展和趋势的基础上,集中探讨了地缘环境研究的理念、议程与路... 详细信息

地缘环境研究已经成为当前国内地缘政治研究的重点方向,汇聚了国内地缘政治研究力量,推动了国内地缘政治学科的复兴。本文在总结分析国内外地缘政治、地缘环境相关研究最新发展和趋势的基础上,集中探讨了地缘环境研究的理念、议程与路径。地缘环境研究理念是以多元地缘体间互动实践为中心,将地缘环境理解为多元地缘体互动实践的“信息”或称决策信息集,也是多元地缘体互动的结果。因此,地缘体行动决策既有在完备信息下的决策,也有在不完备信息下的决策,甚至还有在不能甄别信息真假情况下的决策。在此新理念下,地缘环境研究大致包括地缘环境要素解析(本底、关联、结构3类要素)、地缘环境时空过程与机制表达和地缘环境支撑体系设计三大研究议程。为了整合不同领域、不同尺度和多元行为体,论文以缅北冲突为例展现了地缘环境研究的三大路径,即跨领域互动、跨尺度耦合和多元地缘体博弈。在当今百年变局的复杂形势下,明晰地缘环境研究的理念、议程与路径,对准确、科学分析当前复杂局势和提出中国应对策略等具有重要的理论价值和现实意义。

关键词：地缘环境跨尺度耦合跨领域互动多元地缘体博弈世界体系地缘政治

同方期刊数据库

Quality Analysis and Prediction for Multi-phase Multi-mode Injection Molding Processes

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Quality Analysis and Prediction for Multi-phase Multi-mode I...

第30届中国控制与决策会议

作者： Qing Yuan luping zhao Shu Wang Yuqing Chang Fuli Wang College of Information Science and Engineering Northeastern University

In batch processes, multiple process modes usually exist because operation conditions frequently change to satisfy different market requirements. Besides multiple modes, the multiplicity of operation phases within each batch is an inherent nature of many batch processes. Different between-batch modes and different within-batch phases may exhibit significantly different underlying behaviors and have different effects on the final product quality. In this work, based on multi-phase quality analysis and between-mode quality analysis at the same time, a new quality prediction strategy is developed for injection molding processes. Firstly, a multi-phase residual recursive model is established using each quality residual of the phase regression models, so the contributions of main phases would be combined together. Also, between-mode quality analysis is conducted to judge the relationship between the new mode and the historical modes. Online quality prediction is completed using the selected model built based on the new mode or the historical modes. The simulation results illustrate the feasibility of this strategy.

关键词： Multi-mode multi-phase residual recursive model between-mode model quality prediction

Mach Number Prediction of Multi-mode Wind Tunnel Flow Field Based on Model Migration

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Mach Number Prediction of Multi-mode Wind Tunnel Flow Field ...

第43届中国控制会议

作者： Longbing Liu Wenshan Yu Zhengzhou Rao Jiamin Song luping zhao High Speed Aerodynamics Institute China Aerodynamics Research and Development Center College of Information Science and Engineering Northeastern University

In the process of wind tunnel experiment,rapidity and accuracy of Mach number prediction directly affect the quality of wind tunnel *** practical applications,the new operating conditions have few running times and only a small amount of data,so the established model is usually underfitted and deviates from the actual *** this paper a RBFNN prediction model is established based on model migration using a small amount of new operating conditions data for the multi-mode wind tunnel flow field,where frozen,fine-tuning,adding gradient features and other migration methods are *** experiments are carried out to analyze the transfer effect of the proposed model.

关键词： Mach number prediction Multi-mode Model migration Gradient feature