检索结果-南通市图书馆

面向大规模网络化系统的分布式预测控制（英文）

在线全文

cnki会议

学校读者我要写书评

暂无评论

控制理论与应用 2017年第8期34卷 997-1007页

作者：魏永松郑毅李少远朱全民上海交通大学自动化系系统控制与信息处理教育部重点实验室上海200240 西英格兰大学工程系英国布里斯托

本文将近年来关于网络化分布式预测控制(distributed model predictive contro,DMPC)设计的结果进行了总结概述.DMPC不仅仅继承了预测控制的优点而且还有分布式控制框架的特点.首先,介绍了分布式控制的系统结构设计;然后,依据预测控制... 详细信息

本文将近年来关于网络化分布式预测控制(distributed model predictive contro,DMPC)设计的结果进行了总结概述.DMPC不仅仅继承了预测控制的优点而且还有分布式控制框架的特点.首先,介绍了分布式控制的系统结构设计;然后,依据预测控制中的性能指标,从3个方面对DMPC进行了介绍:基于局部性能指标的DMPC,基于邻域指标的DMPC和基于全局指标的DMPC.最后,选取3个典型例子来说明一些DMPC的有效性.

关键词：预测控制分布式预测控制全过程系统迭代非迭代网络化的性能指标

Energy Efficient Predictive Control for Vapor Compression Refrigeration Cycle Systems

在线全文

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2018年第5期5卷 953-960页

作者： Xiaohong Yin Shaoyuan Li the School of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266042China the Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China

Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.

关键词： Cooling load model predictive control(MPC) superheat vapor compression refrigeration cycle(VCC)

PERFORMANCE LIMITATIONS FOR A CLASS OF KLEINMAN CONTROL SYSTEMS

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2014年第3期27卷 445-452页

作者： CAI Xin LI Shaoyuan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System.Control and Information ProcessingMinistry of Education

This paper provides preliminary results on performance limitations for a class of discrete time Kleinman control systems whose open loop poles lie strictly outside the unit circle. By exploiting the properties of the Kleinman controllers and using of Mgebraic Riccati equation （ARE）, the relationship between total control energy of Kleinman control systems and the minimum energy needed to stabilize the open-loop systems is revealed. The result reflects how the horizon length of Kleinman controllers affects the performance of the closed-loop systems and quantifies how close the performance of Kleinman control systems is to the minimum energy.

关键词： Algebraic Riccati equation Kleinman control minimum energy control performance limitations zero terminal receding horizon control.

Model Predictive Control for Vapor Compression Cycle of Refrigeration Process

在线全文

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2018年第6期15卷 707-715页

作者： Xiao-Hong Yin Shao-Yuan Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China

A model predictive controller based on a novel structure selection criterion for the vapor compression cycle （VCC） of refrigeration process is proposed in this paper. Firstly, those system variables are analyzed which exert significant influences on the system performance. Then the structure selection criterion, a trade-off between computation complexity and model performance, is applied to different model structures, and the results are utilized to determine the optimized model structure for controller design. The controller based on multivariable model predictive control （MPC） strategy is designed, and the optimization problem for the reduced order models is formulated as a constrained minimization problem. The effectiveness of the proposed MPC controller is verified on the experimental rig.

关键词： Vapor compression refrigeration cycle model structure structure selection criterion model reduction model predictive control.

Personalized Thermal Comfort Modeling based on Support Vector Classification

在线全文

学校读者我要写书评

暂无评论

Personalized Thermal Comfort Modeling based on Support Vecto...

第36届中国控制会议

作者： Muhammad Javed Ning Li Shaoyuan Li Department of Automation Shanghai Jiao Tong University

ISBN: (纸本)9781538629185

Heating Ventilation and Air Conditioning（HVAC） systems are designed to provide a comfortable indoor thermal environment for the ***,Predicted Mean Vote（PMV） model is used to represent thermal comfort which is only an average model and it cannot reflect the individual differences in thermal *** paper proposes a personalized thermal comfort model based on a machine learning classification algorithm called Support Vector Classification（SVC）.We designed an Android application to collect feedback from occupants about their thermal sensation of the indoor *** feedback data-set is then used to train the personalized thermal comfort *** model accuracy has been verified by comparison between the predicted thermal sensation based on the proposed model and actual thermal sensation *** of the proposed thermal comfort model shows that the proposed model has a potential to save energy as well as capturing the individual differences in thermal comfort.

关键词： Personalized Thermal Comfort Modeling HVAC Systems Support Vector Classification Android Application

Water Supply Networks as Cyber-physical Systems and Controllability Analysis

在线全文

cnki会议

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2015年第3期2卷 313-319页

作者： Yongsong Wei Shaoyuan Li the Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

Cyber-physical systems (CPS) is a system of systems which consists of many subsystems that can stand alone in an individual manner and can be taken as a typical complex network. CPS can be applied in the critical infrastructures such as water supply networks, energy supply systems, and so on. In this paper, we analyze the structure of modern city water supply networks from the view of CPS theory. we use complex network theory to build an undirected and unweighted complex network model for the water supply networks to investigate the structural properties, and present the structure of the water supply networks and detect communities by a spectral analysis of the Laplacian matrix. Then, we analyze the structure and controllability of water supply networks by the structural controllability method. The results show the feasibility and effectiveness of the proposed complex network model. © 2014 Chinese Association of Automation.

关键词： Controllability Embedded systems Matrix algebra Spectrum analysis Structural properties Water supply

Two-layer PSDG Based Fault Diagnosis for Wind Turbines

在线全文

学校读者我要写书评

暂无评论

Two-layer PSDG Based Fault Diagnosis for Wind Turbines

第36届中国控制会议

作者： Yang Jing Li Ning Li Shaoyuan Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai Jiao Tong University

ISBN: (纸本)9781538629185

Fault diagnosis of the wind power system is a common problem in the routine maintenance of the wind ***,most researches and practical applications focus on separate components,which do not take correlations of different components into *** paper presents a novel two-layer Probabilistic Signed Directed Graph（PSDG） method for the fault diagnosis of the overall wind power ***,we establish a sensor data layer to detect the variations in the wind power system based on the complex network *** we utilize the fault list to build a Bayesian *** figure out the search sequence based on the comprehensive ranking index and introduce two evaluation indices to evaluate our ***,the proposed method is tested on actual fault data from a wind farm in the northwest of *** result shows that the proposed method not only ensures the accuracy of the fault diagnosis,but also guarantees the quickness of the fault search.

关键词： Fault Diagnosis Wind Power Bayesian network Complex Network Two-layer PSDG Ranking Index

微网优化控制研究现状及智能化即插即用趋势与策略

在线全文

cnki会议

学校读者我要写书评

暂无评论

上海交通大学学报 2017年第9期51卷 1097-1103页

作者：江海啸郑毅李少远蔡旭上海交通大学电子信息与电气工程学院上海200240 中国中车株洲电力机车研究所湖南株洲412001

微型电网是在用户侧提高整体能源效率、清洁化程度和智能化程度的重要手段,其优化运行控制是能否有效发挥上述作用的关键.分析了不同微网结构,即直流微网、交流微网和交直流微网在控制优化需求方面的异同及优缺点.重点介绍比对了目前微... 详细信息

微型电网是在用户侧提高整体能源效率、清洁化程度和智能化程度的重要手段,其优化运行控制是能否有效发挥上述作用的关键.分析了不同微网结构,即直流微网、交流微网和交直流微网在控制优化需求方面的异同及优缺点.重点介绍比对了目前微电网低层控制方法和监督层的能量管理策略.总结了目前微网控制优化的热点问题及发展趋势,并提出了智能化即插即用微网构架在算法和实现方面的解决策略.

关键词：智能微网分布式系统即插即用分布式优化

Soft-Sensing of carbon content of the catalyst in FCC based on deep learning

在线全文

学校读者我要写书评

暂无评论

Soft-Sensing of carbon content of the catalyst in FCC based ...

第36届中国控制会议

作者： Xilei Wang Ning Li Shaoyuan Li Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai Jiao Tong University

ISBN: (纸本)9781538629185

In this paper,a novel modeling method of soft sensing is presented to measure the spent catalyst’s carbon content in fluidized-bed catalytic *** model focuses on improving the existing soft sensing models’ performances,such as higher measurement accuracy,more robust working performance,or better generalization *** build this model,firstly,we choose the primary variables and secondary variables by analyzing the mechanism model of fluidized-bed catalytic ***,we build a 4 layers deep belief networks as a feature extraction structure to extract feature data from the input *** then we build an improved least squares support vector regression which is optimized by artificial bee colony algorithm as the regression *** extracted feature data will be the input to the regression ***,we use the catalyst related production data of 2# fluidized-bed catalytic cracking device from Sinopec Jiujiang Branch Corporation to train the *** simulation results verify the effectiveness of the presented method.

关键词： soft sensing mechanism model Deep Belief Networks Least Squares Support Vector Regression Artificial Bee Colony Algorithm spent catalyst’s carbon content Fluidized-bed Catalytic Cracking