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Research on online multiple model soft-sensor

chemical Engineering Transactions 2017年 61卷 1795-1800页

作者： Wang, Shijie Wang, Zhenlei Wang, Xin Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

Offline updating is a method that most of multiple model soft-sensors used to adapt the new operating conditions. Replacing online models with offline ones is bound to affect the efficiency of soft-sensors, and it costs manpower as well as time simultaneously. It takes maintenance staffs some time to re-train complete models, which requires a lot of historical data, and then the existing models will be changed with new ones. A soft-sensor that can be added or subtracted models online is proposed in this paper. Density-based spatial clustering of applications with noise (DBSCAN) is employed for clustering analysis. Compared with traditional kernel fuzzy clustering method (KFCM), DBSCAN improves the ability of filtering out noise and enhance the ability to decide whether there is a new working condition. However, the clustering results of DBSCAN are extremely sensitive to the input parameters. In this study, kernel density estimation (KDE) is applied to determine the number of subsets and a novel method is proposed to determine the parameters. The new sub-models can be directly added to the online models after trained. The results of soft-sensor achieved by a number of models according to the switching or weighted way. The method proposed in this paper is applied to the measurement of cracking depth of ethylene cracking furnace, which proves the practicability and effectiveness. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Ethylene

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A valve stiction and time delay control method based on fuzzy smith internal model principle

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chemical Engineering Transactions 2017年 61卷 577-582页

作者： Zhang, Hao Wang, Xin Wang, Zhenlei Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

In the process of chemical production, the phenomenon of control valve's stiction is very common. This phenomenon causes control loop oscillation and has a negative effect on the quality and cost of the product. Time delay exists widely in industrial process, which leads to the variation of the dynamic response of the system. In this paper, taking the stiction model proposed by Kano as an example, then puts forward a method of smith internal model control based on fuzzy theory. This paper try to solve the stiction problem by controller designed. This control method can realize the parameter self-tuning and overcome the stiction. Simulation results show that the method proposed can effectively overcome the loop oscillation and improve the performance of the system. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Stiction

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Data-driven online operating performance assessment for multi-datasets multivariable industrial processes

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chemical Engineering Transactions 2017年 61卷 1729-1734页

作者： Du, Yupeng Wang, Zhenlei Wang, Xin Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

In this study, a novel online operating performance assessment method based on multi-sets two-step basis vector extraction artificial neural networks (MTBVE-ANN) strategy is proposed for industrial applications. The MTBVE-ANN method focuses on finding common and specific information involved in multi-datasets, which improves the accuracy of data nonlinear characterization with artificial neural networks introduced. The optimality related variations are extracted from each operating performance grade by analysing the common and unique variations over online steady performance grades. The online operating performance assessment method is performed based on the similarities between the optimality related variations of the test data and that of historical training data. Previously, total projection to latent structures (T-PLS) operating performance assessment method must be performed based on the availability of both input and output data. The proposed method in this paper takes the artificial neural network to assess the operating performance grade of the online test data without output. The validity and precision of the proposed operating performance assessment method is illustrated with the industrial data of multi-datasets multivariable industrial processes. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Neural networks

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Nonlinear adaptive switching control for a class of non-affine nonlinear systems

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Chinese Journal of chemical Engineering 2016年第9期24卷 1243-1251页

作者： Miao Huang Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology School of Optical–Electrical and Computer Engineering University of Shanghai for Science and Technology Center of Electrical & Electronic Technology Shanghai Jiao Tong University

An improved nonlinear adaptive switching control method is presented to relax the assumption on the higher order nonlinear terms of a class of discrete-time non-affine nonlinear systems. The proposed control strategy is composed of a linear adaptive controller, a neural network(NN) based nonlinear adaptive controller and a switching mechanism. An incremental model is derived to represent the considered system and an improved robust adaptive law is chosen to update the parameters of the linear adaptive controller. A new performance criterion of the switching mechanism is designed to select the proper controller. Using this control scheme, all the signals in the system are proved to be bounded. Numerical examples verify the effectiveness of the proposed algorithm.

关键词： Non-affine nonlinear systems Nonlinear adaptive switching control Incremental model

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BaTiO3 assisted PAN fiber preparation of high performance flexible nanogenerator

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Nanotechnology 2020年第24期31卷 24LT01页

作者： Tingting Cai Yun Yang Ting Bi Ernest Bi Yanfang Li Department of Chemistry and Chemical Engineering Luliang University Lvliang 033000 People's Republic of China. Department of Mining Engineering Key Laboratory of Maintenance and Inspection of Coal Mine Mechanical Equipment Luliang University Lvliang 033000 People's Republic of China. Material Forming and Control Engineering Taiyuan University of Science and Technology Jincheng 048011 People's Republic of China. School of Chemical Engineering Advanced Institute of Materials Science Changchun University of Technology Changchun 130012 People's Republic of China.

Recently, polyacrylonitrile (PAN) fiber films have shown greater advantages over polyvinylidene fluoride (PVDF) in the field of energy harvesting. Adding other substances with high piezoelectric coefficient is worth exploring to further improve the output voltage of PAN. Here, we successfully dispersed high dielectric constant barium titanate in PAN nanofiber films with different dosages using an electrospinning technology. The X-ray diffraction and Fourier transform infrared spectroscopy results indicated that BaTiO nanoparticles aid in transforming PAN from a 3-helical conformation to a planar zigzag conformation, thus improving the output voltage of PAN nanofibers significantly and also promoting its mechanical properties. In addition, the human body function monitoring experiment showed a good response current to the rhythm of elbow bending, knee bending, running, and breathing. Besides, when a simple rectifier circuit was applied, the capacitor could be charged to 2 V in less than 2 min and light a commercial LED through repeated tapping.

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Construction of heterojunction Bi/Bi 5 O 7 I/Sn 3 O 4 for efficient noble-metal-free Z-scheme photocatalytic H 2 evolution

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chemical Engineering Journal 2020年 382卷

作者： Ling Xu Wen-qian Chen Shu-qiang Ke Shao-mei Zhang Min Zhu Yu Zhang Wen-yan Shi Satoshi Horike Liang Tang School of Environmental and Chemical Engineering Shanghai University Shanghai 200444 PR China Shanghai Institute of Applied Radiation Shanghai University 20 Chengzhong Road Shanghai 201800 PR China Institute for Integrated Cell Material Sciences Institute for Advanced Study Kyoto University Yoshida-Honmachi Sakyo-ku Kyoto 606-8501 Japan Key Laboratory of Organic Compound Pollution Control Engineering Ministry of Education Shanghai 200444 PR China

A growing number of semiconductor photocatalysts have been recently reported to enhance the hydrogen evolution performance, but most of them need to work with noble metals. In this study, we constructed a ternary photocatalyst of Bi/Bi 5 O 7 I/Sn 3 O 4 without noble metals, which can achieve a comparable or even better performance than noble metals. Bi 5 O 7 I and Sn 3 O 4 construct a direct Z schema heterojunction due to the matched band structure, further improving the separation efficiency of electrons and holes, which greatly improves the hydrogen production performance of Sn 3 O 4 . Moreover, the superior H 2 evolution activity was achieved by metal Bi with a uniform distribution, which not only extends the light absorption range but also acts as a co-catalyst to further improve the hydrogen evolution. This work provides a new method designed for noble-metal-free photocatalytic hydrogen evolution.

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Real-time optimization and control of an industrial ethylbenzene dehydrogenation process

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chemical Engineering Transactions 2017年 61卷 331-336页

作者： Wang, Xiaoqiang Mahalec, Vladimir Li, Zhi Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai200237 China Department of Chemical Engineering McMaster University HamiltonONL8S 4L7 Canada

Styrene is one of the most important monomers in the petrochemical industry. In this study, a novel methodology for tight integration of Real-Time optimization (RTO) and Model Predictive control (MPC) is applied to an industrial ethylbenzene dehydrogenation process for producing styrene. This optimization-control framework is able to improve the automation level of ethylbenzene dehydrogenation process under various unfavourable conditions, especially the plant-model mismatch and disturbances. In the RTO layer, a constraint-adaptation strategy is adopted, which makes it easier to update the steady-state model. In the MPC layer, an MPC with Nonlinear Successive Linearization (MPC-NSL) is employed to deal with the nonlinear dynamic characteristics of the process and to match the steady-state gain at the steady-state point. In addition, an economic Steady-State Target optimization (SSTO) layer is inserted between RTO and MPC layers to update continuously the set-points for MPC. The two-layered integration framework is easy to maintain because the models adopted in the three layers originate from the same nonlinear dynamic model. The comprehensive dynamic model of the styrene process is developed based on two large core fixed-bed axial-radial flow reactors described by Partial Differential Algebraic Equations (PDAE). The model parameters are corrected, and accuracy is validated using actual industrial data before it is used for simulation. Case study shows that the proposed optimization-control framework significantly improves the operation level. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Model predictive control

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流程工业智能优化制造的基础理论与关键技术

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Engineering 2017年第2期 14-27页

作者：钱锋钟伟民杜文莉 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

本文围绕流程工业转型升级的重大需求,剖析了当前流程工业在经营决策层面、生产运行层面、能效安环层面和信息集成层面存在的主要问题,提出了利用现代信息技术从生产、管理以及营销全过程优化出发,推进以高效化、绿色化和智能化制造为... 详细信息

本文围绕流程工业转型升级的重大需求,剖析了当前流程工业在经营决策层面、生产运行层面、能效安环层面和信息集成层面存在的主要问题,提出了利用现代信息技术从生产、管理以及营销全过程优化出发,推进以高效化、绿色化和智能化制造为目标的流程工业智能优化制造的愿景目标。围绕制造过程从装备智能化到制造流程、操作模式、供应链管理等自适应智能优化,以需求驱动、应用导向为主,提出了当前亟须研究的核心工程科学问题,即:(1)生产与经营全过程信息智能感知与集成;(2)知识驱动的生产过程计划调度与管理决策;(3)人机物自然交互的生产过程全流程协同控制与优化;(4)全生命周期安全环境足迹监控与风险溯源分析及控制。并围绕核心科学问题进一步提出了拟突破的流程工业智能优化制造的基础理论与关键技术。

关键词：流程工业智能优化制造绿色制造高端制造最优性评价

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H∞ Fault Detection Filter Design for Networked Nonlinear Systems under Event-triggered Mechanism

H∞ Fault Detection Filter Design for Networked Nonlinear Sy...

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第36届中国控制会议

作者： Yuwei Zhao Huaicheng Yan Xisheng Zhan Congzhi Huang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology College of Mechatronics and Control Engineering Hubei Normal University School of Control and Computer Engineering North China Electric Power University

The problem of H fault detection filtering for a class of discrete-time nonlinear system based on T-S fuzzy model is investigated in this *** the filtering network system,packet dropout and networked time-delay are considered *** event-triggered communication scheme is constructed to determine whether or not the current instant data should be *** detection filter is designed to guarantee the prescribed H performance for the filtering ***,a numerical example is given to illustrate the effectiveness of the proposed design method.

关键词： Fault detection filtering T-S fuzzy model event-triggered communication scheme

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Event-triggered Output Feedback H∞ control for Networked control Systems with Time-varying Sampling and Packet Losses

Event-triggered Output Feedback H∞ Control for Networked Co...

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第36届中国控制会议

作者： Chenyang Hu Huaicheng Yan Hao Zhang Shiming Chen Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Department of Control Science and Engineering Tongji University School of Electrical and Electrical Engineering East China Jiaotong University

This paper is concerned with the event-triggered H control for the networked control systems with non-uniform sampling and packet losses via dynamic output feedback controller(DOFC).By proposing the event-triggered mechanism,in which the output of the system is sampled by a time-varying sampling period and only the necessary sampled data is transmitted through the communication network,and the network-induced delay and the packet losses are considered *** the proposed event-triggering mechanism,the closed-loop system is modelled as a time-delay *** on the model,some novel criteria in terms of linear matrix inequalities(LMIs) for co-designing both the desired DOFC and the event-triggered parameters are ***,a simulation example is employed to demonstrate the effectiveness of the proposed method.

关键词： Event-triggered H∞ control Networked control systems Time-varying sampling Packet losses

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