检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Sheng, Jingran Liang, Bo Wang, Lin Wang, Xiaofan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai China

With the ongoing evolution of scientific research collaboration in depth and breadth, the age distribution among paper collaborators is becoming increasingly varied. Consequently, the question of whether this age distribution affects the quality of collaborative papers has emerged as a significant topic in recent research. In this study, we have compiled and established a comprehensive scientific database, comprising more than 3.5 million papers. These papers, featuring multiple attribute information, originate from over 180 countries. We define the age diversity of a paper based on the academic ages of its co-authors and examine the relationship between age diversity and citation impact using regression analyses. Our findings reveal a clear upward trend in the age diversity of authors over time. The results indicate that the average age diversity of highly cited papers is consistently higher than that of general papers across the entire timeline, spanning four disciplines: economics, engineering, computer science, and physics. Moreover, we demonstrate a significantly positive correlation between age diversity and citation impact. In the aforementioned four disciplines, an increase in the collaborators’ age diversity is associated with a corresponding rise in the paper’s citation impact. This study contributes to a deeper understanding of age-related dynamics in scientific collaboration. It also offers insights into the age distribution of teams, providing practical suggestions for researchers engaged in collaborative endeavors. © 2024, The Authors. All rights reserved.

关键词： Regression analysis

来源：评论

学校读者我要写书评

暂无评论

A NOVEL PID SELF-TUNING METHOD BASED ON CLOSED-LOOP IDENTIFICATION USED IN NUCLEAR POWER PLANTS 29

A NOVEL PID SELF-TUNING METHOD BASED ON CLOSED-LOOP IDENTIFI...

引用

2022 29th International Conference on Nuclear engineering, ICONE 2022

作者： Zhang, Pengbin Xing, Kunpeng Zou, Tao Yang, Zhijia Wang, Jingyang Wang, Hongrui State Key Laboratory of Robotics Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China China Nuclear Power Engineering Co. Ltd Shenzhen China College of Mechanical and Electrical Engineering Guangzhou University Guangzhou China Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9780791886472

Nuclear power is one of several significant clean energy and its production capacity is increasing rapidly. This paper proposed a novel PID self-tuning method based on closed-loop identification used in nuclear power plants to deal with the turbine's load tracking problem. A setpoint-shifting method is adopted to achieve the informativity of the closed-loop system, and the PID parameters are designed through an optimization method. For validating the proposed method, this paper modeled a pressurized-water reactor (PWR) nuclear power plant, a complex system consisting of three circuits, through the first principle. The primary circuit contains three main devices: a nuclear reactor, a pressurizer, and a steam generator. The models of these three devices are provided by previous literature separately. The whole model is generated through mass and energy balance. This mechanism model is used as the plant model, while the identified model is used as the control model. The initial PID parameters are set through open-loop identification using an external excitation. Then the proposed method works online to track the turbine's load in time. The effectiveness of the proposed method is illustrated by simulations. Copyright © 2022 by ASME.

关键词： Nuclear power plants

来源：评论

学校读者我要写书评

暂无评论

Risk Prediction of Cavitation Erosion of Venturi Tube Based on a New Erosion Indicator

SSRN

引用

SSRN 2024年

作者： Ma, Junqi Wang, Xiaoyu Wang, Tian Sun, Qiang School of Mechanical Engineering and Automation Northeastern University Shenyang110819 China Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education Northeastern University Shenyang110819 China

Cavitation erosion would reduce the performance of the fluid machinery. In order to improve the reliability and prolong the life span of fluid machinery, it is necessary to study the mechanism of cavitation erosion and predict the possible erosion aera. Since the erosion power to be measured and calculated is closer to the actual state of cavitation, a new cavitation erosion indicator model based on erosion power is proposed, which can reflect the size and region of the erosion generated by cavitation more precisely. Based on the two models of axisymmetric nozzles and venturi tubes, the prediction of cavitation erosion location based on the newly proposed indicator is illustrated. It is found that the location of cavitation erosion mainly occurs near the maximum location boundary of the cavitation region. This research lays a foundation for the study of possible erosion state of fluid machinery in cavitation environment. © 2024, The Authors. All rights reserved.

关键词： Cavitation

来源：评论

学校读者我要写书评

暂无评论

A Trigger Method Applied to the Development of Measurement Devices for Radiometric Measurement systems

A Trigger Method Applied to the Development of Measurement D...

引用

2022 International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2022

作者： Mustafa, Thair I. A. H. Cabral, Sergio H. L. Almaguer, Hugo A. D. Meyer, Luiz H. Pitz, Ciro Cereja, José E. M. Fischer, Marcel V. T. Dias, Clayton R. Gili, Cleiton University of Blumenau Department of Electrical Engineering Blumenau Brazil Federal University of Santa Catarina Department of Control Automation and Computation Engineering Blumenau Brazil CPFL Transmission Department of System Operation Porto Alegre Brazil Gili Energy Electronics Presidente Nereu Brazil

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

Based on the experience of the authors, represented by several published papers about radiometry applied to power circuit-breaker analyses, efforts towards the development of a radiometric measurement device for replacing the commercially available digital oscilloscope are qualitatively described. The main reason for this search for the replacement relies on the fact that the triggering system and principles of commercially available oscilloscopes are not as fully confident as they must be for radiometric systems applied to power circuit-breaker analysis. For implementing this, the very first step is to adopt a new method of data processing, which is presented in this work and is to be combined with a future hardware structure for composing the triggering system of a new radiometric measurement device. The examples given show how effective the new proposal is. © 2022 IEEE.

关键词： Electric circuit breakers

来源：评论

学校读者我要写书评

暂无评论

RESEARCH ON THE PID PARAMETER SELF-TUNING OF THE PRESSURIZER control system OF NUCLEAR POWER PLANT 29

RESEARCH ON THE PID PARAMETER SELF-TUNING OF THE PRESSURIZER...

引用

2022 29th International Conference on Nuclear engineering, ICONE 2022

作者： Wang, Hongrui Xing, Kunpeng Zou, Tao Yang, Zhijia Wang, Jingyang Zhang, Pengbin State Key Laboratory of Robotics Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China China Nuclear Power Engineering Co. Ltd Shenzhen China College of Mechanical and Electrical Engineering Guangzhou University Guangzhou China Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9780791886373

The pressurizer is an essential part of the safe operation of the nuclear power plant. It contains both the steam phase and the liquid phase, which requires simultaneous control of the pressure and water level, and the control system is strongly coupled. When using the PID control method, it is difficult to tune the parameters, and the difficulty is exacerbated when the set value fluctuates. This paper aims at the multi-input and multioutput pressurizer control system, based on the particle swarm optimization to realize the PID controller parameters self-tuning, adopting the time and absolute error integral as the fitness function to evaluate the merits of the PID parameters, and constantly iterating to update and obtain the PID parameters that better satisfy the current working conditions. For coupled pressurizer control systems, the PID parameter tuning method using particle swarm optimization algorithms can give a group of PID controller parameters that make the system operation stable despite the frequent fluctuation of the set value, and compared with the traditional PID controller parameter tuning method, this method can realize the PID parameter self-tuning, eliminating the trouble of manual tuning. Copyright © 2022 by ASME.

关键词： Nuclear power plants

来源：评论

学校读者我要写书评

暂无评论

Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks using Reinforcement Learning

Synthesis of Temporally-Robust Policies for Signal Temporal ...

引用

IEEE International Conference on Robotics and automation (ICRA)

作者： Siqi Wang Shaoyuan Li Li Yin Xiang Yin Department of Automation and Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China Institute of Systems Engineering Macau University of Science and Technology Taipa China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

This paper investigates the problem of designing control policies that satisfy high-level specifications described by signal temporal logic (STL) in unknown, stochastic environments. While many existing works concentrate on optimizing the spatial robustness of a system, our work takes a step further by also considering temporal robustness as a critical metric to quantify the tolerance of time uncertainty in STL. To this end, we formulate two relevant control objectives to enhance the temporal robustness of the synthesized policies. The first objective is to maximize the probability of being temporally robust for a given threshold. The second objective is to maximize the worst-case spatial robustness value within a bounded time shift. We use reinforcement learning to solve both control synthesis problems for unknown systems. Specifically, we approximate both control objectives in a way that enables us to apply the standard Q-learning algorithm. Theoretical bounds in terms of the approximations are also derived. We present case studies to demonstrate the feasibility of our approach.

关键词： Measurement Uncertainty Q-learning Approximation algorithms Robustness Logic Task analysis

来源：评论

学校读者我要写书评

暂无评论

Techno-economic effects of electricity market conditions in the optimal operation of hybrid power plants

Techno-economic effects of electricity market conditions in ...

引用

7th International Hybrid Power Plants & systems Workshop (HYB 2023)

作者： J. Martinez-Rico I. Ruiza de Argandoña E. Zulueta M. Armendia U. Fernandez-Gamiz Automation and Control Unit Tekniker Basque Research and Technology Alliance Eibar Spain System Engineering and Automation Control Department University of the Basque Country (UPV/EHU) Vitoria-Gasteiz Spain Energy Engineering Department University of the Basque Country (UPV/EHU) Vitoria-Gasteiz Spain

Hybrid power plants (HyPPs) combining different renewable energy sources with battery energy storage systems (BESSs) present multiple advantages and might become a key part of the energy transition, but the still high price of BESSs and varying market conditions could slow down the investment on them. In this paper, the optimal operation of a HyPP consisting of wind, solar photovoltaic and a BESS operating in the Iberian Electricity Market is analysed under the market scenarios between 2018 and 2022. The study reveals the significant effects of the market conditions regarding the revenues obtained by installing BESSs, but claims the need for new market mechanisms to ensure their feasibility. Moreover, a closer market study indicates that price difference rates between markets have not varied significantly, resulting in similar optimal operation strategies in the studied years.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Online Optimization Method for Virtually Coupled Train Operation Deviation from Reference Curve

Online Optimization Method for Virtually Coupled Train Opera...

引用

IEEE International Conference on Networking, Sensing and control

作者： Yinghui Lang Hongjie Liu Yanli Liao Bosi Li Yihan Wang Ming Chai School of Automation and Intelligence Beijing Jiaotong University Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China Beijing Hollysys System Engineering Co. Ltd. Xi'an Branch Xi'an China

ISBN: (数字)9798350365221

ISBN: (纸本)9798350365238

Virtually coupled train set (VCTS) has become a popular research topic in the railway industry in recent years. It is considered one of the solutions to the uneven spatial and temporal distribution of passenger flow in urban rail transit. A VCTS consists of multiple train units (TUs). The overall operation of the VCTS relies on the coordinated efforts of each TU. A feasible approach involves pre-planning reference curves for the TUs, with the Automatic Train Operation (ATO) system tracking these curves. However, as the TUs operate at close intervals, the control strategy needs to ensure safety and precise control. Consequently, the reference curve of the TU is characterized by frequent changes in acceleration. As a result, the ATO system is prone to deviating from the curve. This paper builds a time-varying vehicle dynamics model and a controller performance model based on data learning. Using these models, we predict deviations and construct an online optimization model. A mesh adaptive direct search (MASD) algorithm is designed to solve for online adjustment curves, promptly correcting any deviations. Simulation experiments demonstrate the effectiveness of the proposed online optimization method when combined with PID and MPC alzorithms.

关键词： Rails Adaptation models Optimization models Heuristic algorithms Prediction algorithms Data models Sensors Safety Vehicle dynamics Time-domain analysis

来源：评论

学校读者我要写书评

暂无评论

On the Equilibrium of a Class of Leader-Follower Games with Decision-Dependent Chance Constraints

arXiv

引用

arXiv 2024年

作者： Wang, Jingxiang Wang, Zhaojian Yang, Bo Liu, Feng Guan, Xinping The Key Laboratory of System Control and Information Processing Ministry of Education of China The Department of Automation Shanghai Jiao Tong University Shanghai China The State Key Laboratory of Power System The Department of Electrical Engineering Tsinghua University Beijing100084 China

In this paper, we study the existence of equilibrium in a single-leader-multiple-follower game with decision-dependent chance constraints (DDCCs), where decision-dependent uncertainties (DDUs) exist in the constraints of followers. DDUs refer to the uncertainties impacted by the leader’s strategy, while the leader cannot capture their exact probability distributions. To address such problems, we first use decision-dependent ambiguity sets under moment information and Cantelli’s inequality to transform DDCCs into second-order cone constraints. This simplifies the game model by eliminating the probability distributions. We further prove that there exists at least one equilibrium point for this game by applying Kakutani’s fixed-point theorem. Finally, a numerical example is provided to show the impact of DDUs on the equilibrium of such game models. Copyright © 2024, The Authors. All rights reserved.

关键词： Game theory

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Frequency Regulation Method for Multi-Terminal HVDC Grids

Data-Driven Frequency Regulation Method for Multi-Terminal H...

引用

Youth Academic Annual Conference of Chinese Association of automation (YAC)

作者： Panxiao Yong Yubin Jia Jun Guo Jun Zhou Zhimin Liu School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Southeast University Nanjing China

High voltage direct current (HVDC) lines allow low-loss transmission over long distances. The multi-terminal HVDC network consists of multiple terminals connected by HVDC lines, and each area shares the frequency reserve. Through secondary frequency control, the frequency of AC and DC areas can be regulated back to the set point when the system frequency has deviated. In this paper, a data-driven model predictive control (MPC) strategy is proposed. The Kooman operator is used to obtain the high-dimensional linear model of a nonlinear system, and the Deep Learning method is used to approximate the infinite-dimensional Koopman operator. The nominal MPC is used for optimization and control, and the optimal problem is solved for the Koopman linearized system. The optimal control is applied to the original nonlinear system. Simulation results show the effectiveness of the proposed method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：