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Model predictive control of indoor thermal environment conditioned by a direct expansion air conditioning system

Building Simulation 2023年第3期16卷 357-378页

作者： Yudong Xia Ming Zhu aipeng jiang Jian Wang Xiaoxia Bai Shiming Deng School of Automation(School of Artificial Intelligence) Hangzhou Dianzi UniversityHangzhouChina Department of Building Environment and Energy Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Mechanical and Industrial Engineering Qatar UniversityDohaQatar

Temperature and humidity are two important factors that influence both indoor thermal comfort and air *** varying compressor and supply fan speeds of a direct expansion(DX)air conditioning(A/C)unit,the air temperature and humidity in the conditioned space can be regulated ***,most existing controllers are designed to minimize the tracking errors between the system outputs with their corresponding settings as quickly as *** energy consumption,which is directly influenced by the compressor and supply fan speeds,is not considered in the relevant controller formulations,and thus the system may not operate with the highest possible energy *** effectively control temperature and humidity while minimizing the system energy consumption,a model predictive control(MPC)strategy was developed for a DX A/C system,and the development results are presented in this paper.A physically-based dynamic model for the DX A/C system with both sensible and latent heat transfers being considered was established and validated by *** facilitate the design of MPC,the physical model was further *** MPC scheme was then developed by formulating the objective function which sought to minimize the tracking errors of temperature and moisture content while saving energy *** on the results of command following and disturbance rejection tests,the proposed MPC scheme was capable of controlling temperature and humidity with adequate control accuracy and *** comparison to linear-quadratic-Gaussian(LQG)controller,better control accuracy and lower energy consumption could be realized when using the proposed MPC strategy to simultaneously control temperature and humidity.

关键词： direct expansion air conditioning humidity control model predictive control variable speed operational efficiency

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Fault detection for centrifugal chillers using a Kernel Entropy Component Analysis (KECA) method

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Building Simulation 2021年第1期14卷 53-61页

作者： Yudong Xia Qiang Ding Zhao Li aipeng jiang School of Automation(School of Artificial Intelligence) Hangzhou Dianzi UniversityHangzhouChina Institute of Refrigeration and Cryogenics Zhejiang UniversityHangzhouChina School of Environment&Architecture University of Shanghai for Science&TechnologyShanghaiChina

Fault detection is beneficial for chiller routine operation management in building automation *** the limitations of traditional principal component analysis(PCA)algorithm for chiller fault detection,a so-called kernel entropy component analysis(KECA)method has been developed and the development results are reported in this *** traditional PCA,in KECA,the feature extraction or dimensionality reduction is implemented in a new space,called kernel feature *** new space is nonlinearly related to the input *** data set in the kernel feature space is projected onto a principal component subspace constructed by the feature space principal axes determined by the maximum Rényi entropy rather than the top *** proposed KECA is more suitable to deal with nonlinear process without Gaussian *** the available experimental data from ASHRAE RP-1043,seven typical chiller faults were tested by the proposed KECA method,and the results were compared to that of *** statistics,i.e.T2 and squared prediction error(SPE),were employed for fault detection *** fault detection results showed that the proposed KECA method had a better performance in terms of a higher detection accuracy in comparison to the traditional *** the seven typical faults,the fault detection ratios were over 55%,even at their corresponding least severity level when using the proposed KECA based chiller fault detection method.

关键词： fault detection kernel entropy component analysis Renyi entropy water chillers

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An optimal filter based MPC for systems with arbitrary disturbances

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Chinese Journal of Chemical Engineering 2017年第5期25卷 632-640页

作者： Haokun Wang Zuhua Xu Jun Zhao aipeng jiang School of Automation Hangzhou Dianzi University National Laboratory of Industrial Control Technology Department of Control Science and EngineeringZhejiang University

In this study, a linear model predictive control(MPC) approach with optimal filters is proposed for handling unmeasured disturbances with arbitrary statistics. Two types of optimal filters are introduced into the framework of MPC to relax the assumption of integrated white noise model in existing approaches. The introduced filters are globally optimal for linear systems with unmeasured disturbances that have unknown statistics. This enables the proposed MPC to better handle disturbances without access to disturbance statistics. As a result, the effort required for disturbance modeling can be alleviated. The proposed MPC can achieve offset-free control in the presence of asymptotically constant unmeasured disturbances. Simulation results demonstrate that the proposed approach can provide an improved disturbance ?rejection performance over conventional approaches when applied to the control of systems with unmeasured disturbances that have arbitrary statistics.

关键词： Model predictive control Optimal filter Disturbance modeling Disturbance statistics Unmeasured disturbances

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基于Mt-SNE的冷水机组故障特征检测研究

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计算机应用与软件 2022年第12期39卷 78-82,166页

作者：杨皓琳丁强江爱朋戴炳坤杭州电子科技大学自动化学院浙江杭州310018

针对欧氏距离在高维空间中不能忠实反映样本位于非线性流形上的相似关系,提出基于马氏距离的t分布随机邻域嵌入算法(Mt-SNE)。用改进的算法对输入数据进行降维处理,并将输出结果作为支持向量机(SVM)的输入向量进行分类,采用ASHRAE制冷... 详细信息

针对欧氏距离在高维空间中不能忠实反映样本位于非线性流形上的相似关系,提出基于马氏距离的t分布随机邻域嵌入算法(Mt-SNE)。用改进的算法对输入数据进行降维处理,并将输出结果作为支持向量机(SVM)的输入向量进行分类,采用ASHRAE制冷系统故障实验数据进行模型训练与验证。结果表明,该算法比传统的线性降维算法主元分析法(PCA)和非线性降维算法t分布随机邻域嵌入(t-SNE)都有更好的特征提取能力,可以用于冷水机组故障数据的特征提取。

关键词：冷水机组故障诊断 t分布随机邻域嵌入支持向量机马氏距离欧氏距离

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Anti-windup Compensator Design for Fuzzy Descriptor System with Delayed State and Saturating Input

Anti-windup Compensator Design for Fuzzy Descriptor System w...

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第26届中国控制与决策会议

作者： Yanbin Luo Qiuxuan Wu aipeng jiang Institution of Electrical Automation Hangzhou Dianzi University

ISBN: (纸本)9781479937097

For a class of solvable T-S fuzzy descriptor system with delayed state and saturating input, delay-independent and delay-dependent, stability conditions are correspondingly established using Lyapunov-Krasovskii approach. The stability domain may be enlarged by applying a fuzzy anti-windup compensator to the considered system, and the problem of solving stability domain can be cast into the convex optimization problem.

关键词： Fuzzy descriptor systems Input saturation Domain of attraction asymptotic stability Anti-windup compensator

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An improved initial rotor position estimation method using high-frequency pulsating voltage injection for PMSM

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Defence Technology（防务技术） 2024年第3期33卷 19-29页

作者： Yang jiang Ming Cheng School of Electrical Engineering Southeast UniversityNanjing 210096China

High frequency pulsating voltage injection method is a good candidate for detecting the initial rotor position of permanent magnet synchronous ***,traditional methods require a large number of filters,which leads to the deterioration of system stability and dynamic *** order to solve these problems,a new signal demodulation method is proposed in this *** proposed new method can directly obtain the amplitude of high-frequency current,thus eliminating the use of filters,improving system stability and dynamic performance and saving the work of adjusting filter *** addition,a new magnetic polarity detection method is proposed,which is robust to current measurement ***,experiments verify the effectiveness of the method.

关键词： Initial position detection Signal demodulation algorithm Magnetic polarity detection Filter elimination

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Capturing Plateau-Rayleigh instability in silver nanowires via ultrafast electron microscopy

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Nano Research 2024年第9期17卷 8402-8407页

作者： Shuai jiang Volkan Ortalan Department of Materials Science and Engineering University of ConnecticutStorrsCT 06269USA

Understanding the structural stability of nanomaterials such as nanowires is imperative for their practical ***,using single-shot ultrafast transmission electron microscopy,we captured the Plateau-Rayleigh instability behavior of silver nanowires decomposing into silver nanoparticles upon laser irradiation on nanosecond time *** found that this dynamic process can be accelerated by a factor of 10 through increasing the peak laser fluence from 6.03 to 14.60 mJ/cm^(2).Moreover,by comparing the laser fluence required to initiate the Plateau-Rayleigh instability in silver nanowires on carbon and Formvar membranes,it was found that the main driving force for the Plateau-Rayleigh instability in this study was substrate *** element analysis and molecular dynamics simulations are also applied to estimate the temperature jump of the nanowires and atomistic behavior,*** addition,the complex motions of silver nanowires under laser irradiation were systematically investigated by combining the results of ultrafast transmission electron microscopy with scanning electron microscopy characterizations and were determined to be related to nanowire-membrane interactions or pre-existing stresses on the nanowires,which in turn demonstrated the potential of ultrafast transmission electron microscopy for the characterization of nanomaterials and devices under extreme conditions.

关键词： silver nanowire Plateau-Rayleigh instability ultrafast transmission electron microscopy molecular dynamics simulation

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Research on control algorithm of intelligent valve positioner based on parameter self-tuning

Research on control algorithm of intelligent valve positione...

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第三十九届中国控制会议

作者： Qian Cheng Zhifeng Liu aipeng jiang Enhui jiang Yangjian Xiao Fengxu Li Jiaji jiang School of Automation Hangzhou Dianzi University

Pneumatic valve positioner is widely used in chemical industry, energy, oil and gas, water treatment, paper industry and other industrial fields. The type of foreign valve positioner has been transferred from mechanical and electronic to intelligent electronic. However, the domestic research on valve positioner research started late, the technology is relatively backward, the failure rate is high. The main reason that affects the performance of domestic valve positioners is due to the immature control algorithm. Based on the analysis of the traditional five-step switch control algorithm, an improved control algorithm and a new parameter auto-tuning method are proposed. All control parameters in the improved control algorithm are obtained by self-tuning, which improves the universality of the algorithm. The parameter self-tuning method can automatically identify the stroke type, end position, maximum overshoot, optimal PWM duty ratio of different valve positions and other parameters, which provides the basis for the control parameter selection of the improved control algorithm. The control algorithm was implemented and verified with the help of an experimental bench. The experimental results show that the improved control algorithm not only greatly reduces the valve position adjustment time, but also avoids the overshoot phenomenon in the whole stroke range.

关键词： Intelligent valve positioner Five step switch control algorithm Parameter self-tuning optimal PWM overshoot

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Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks

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Chinese Journal of Electronics 2024年第1期33卷 231-244页

作者： Ming CHEN Yajian jiang Xiujuan LEI Yi PAN Chunyan JI Wei jiang College of Information Science and Engineering Hunan Normal University School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Computer Science Department BNU-HKBU United International College

Drug-target interactions(DTIs) prediction plays an important role in the process of drug *** computational methods treat it as a binary prediction problem, determining whether there are connections between drugs and targets while ignoring relational types information. Considering the positive or negative effects of DTIs will facilitate the study on comprehensive mechanisms of multiple drugs on a common target, in this work, we model DTIs on signed heterogeneous networks, through categorizing interaction patterns of DTIs and additionally extracting interactions within drug pairs and target protein pairs. We propose signed heterogeneous graph neural networks(SHGNNs), further put forward an end-to-end framework for signed DTIs prediction, called SHGNN-DTI,which not only adapts to signed bipartite networks, but also could naturally incorporate auxiliary information from drug-drug interactions(DDIs) and protein-protein interactions(PPIs). For the framework, we solve the message passing and aggregation problem on signed DTI networks, and consider different training modes on the whole networks consisting of DTIs, DDIs and PPIs. Experiments are conducted on two datasets extracted from Drug Bank and related databases, under different settings of initial inputs, embedding dimensions and training modes. The prediction results show excellent performance in terms of metric indicators, and the feasibility is further verified by the case study with two drugs on breast cancer.

关键词： Drugs Training Proteins Measurement Message passing Prediction methods Graph neural networks

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Advances in Triboelectric Nanogenerators for Blue Energy Harvesting and Marine Environmental Monitoring

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Engineering 2024年第2期33卷 204-224页

作者： Yang jiang Xi Liang Tao jiang Zhong Lin Wang CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro–Nano Energy and SensorsBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China Georgia Institute of Technology AtlantaGA 30332USA

Blue energy,which includes rainfall,tidal current,wave,and water-flow energy,is a promising renewable resource,although its exploitation is limited by current technologies and thus remains *** form of energy is mainly harvested by electromagnetic generators(EMGs),which generate electricity via Lorenz force-driven electron *** nano genera tors(TENGs)and TENG networks exhibit superiority over EMGs in low-frequency and high-entropy energy harvesting as a new approach for blue energy harvesting.A TENG produces electrical outputs by adopting the mechanism of Maxwell’s displacement *** date,a series of research efforts have been made to optimize the structure and performance of TENGs for effective blue energy harvesting and marine environmental *** the great progress that has been achieved in the use of TENGs in this context so far,continuous exploration is required in energy conversion,device durability,power management,and environmental *** review reports on advances in TENGs for blue energy harvesting and marine environmental *** introduces the theoretical foundations of TENGs and discusses advanced TENG prototypes for blue energy harvesting,including TENG structures that function in freestanding and contact-separation *** enhancement strategies for TENGs intended for blue energy harvesting are also ***,marine environmental applications of TENGs based on blue energy harvesting are discussed.

关键词： Triboelectric nanogenerator TENG networks Blue energy Energy harvesting Ocean sensors

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