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检索条件"任意字段=第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年"

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Burden Distribution Control and Optimization of Bell-less Top Blast Furnace

Burden Distribution Control and Optimization of Bell-less To...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Lanzhen Li Genke Yang Changchun PAN Qingsong Gong Hongwu Wang Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai Jiao Tong University Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration(CISSE)

Burden distribution plays an important role in ensuring the stability of blast furnace,improving the distribution of gas flow and the utilization ratio of blast furnace gas and reducing the emission of *** shape of burden surface approximately reflects the distribution of gas *** order to obtain the desired sharp charge level,we built the optimization model under two different cases that the charging angle is fixed and variable respectively,and separately use the pattern search method and genetic algorithm to solve the above optimization *** based on the research mentioned above,a burden distribution simulation software is developed to give the reliable burden distribution matrix associated with a new burden surface,which very important to the blast furnace operator.

关键词： Blast Furnace Burden Distribution Burden Surface Shape Control Burden distribution matrix

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Adaptive finite-time synchronization of neural networks with time-varying delay

Adaptive finite-time synchronization of neural networks with...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Yujing Shi Yu Tang Jie Lin Shanqiang Li Department of Applied Mathematics Harbin University of Science and Technology Center of Ultra-Precision Optoelectronic Instrument Harbin Institute of Technology College of Automation Harbin Engineering University

In this paper,the issue of finite-time synchronization for a class of neural networks with time-varying delay is *** order to realize synchronization of the neural networks in finite time,an adaptive control approach is presented,where the adaptive controller is delay-dependent and the controller gain can be adjusted to control the synchronization ***,on the basis of finite-time stability theory,sufficient conditions are attained to guarantee synchronization in finite time of the drive system and the corresponding response system by choosing an appropriate Lyapunov-Krasovskii ***,the upper bound of the settling time for synchronization is ***,a numerical simulation on two neural networks is carried out to illustrate the correctness and effectiveness of the proposed method.

关键词： Finite-time Synchronization Adaptive Control Neural Networks Time-varying Delay

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Event-Based Set-Membership Filtering for Networked Control Systems

Event-Based Set-Membership Filtering for Networked Control S...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Shuai Liu Guoliang Wei Derui Ding Jingyang Mao Business School University of Shanghai for Science and Technology Shanghai Key Lab of Modern Optical System Department of Control Science and EngineeringUniversity of Shanghai for Science and Technology

This paper is concerned with the set-membership filtering problem for a class of networked control systems under the event-triggering *** event-triggering mechanism is introduced to determine whether or not the current measurement value should be transmitted to the remote filters,whose main idea is by reducing the triggering frequency to save the communication resources.A typical event generator is constructed in terms of the relative measurement error between the current measurement value and the latest transmitted measurement value exceeding a given *** set-membership filtering scheme is proposed to guarantee the optimized ellipsoidal set containing the true state of the system against the non-Gaussian bounded noises and linearization *** recurring to the convex optimization technique,the filter parameters can be explicitly expressed by solving a set of recursive linear matrix inequalities(RLMIs).Finally,the proposed filter design algorithm is applied to an F-404 aircraft engine model to show the feasibility.

关键词： Set-membership filtering Networked control systems Event-triggering mechanism Recursive linear matrix inequalities Non-Gaussian bounded noises

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Discriminative Dictionary Learning for Automatic Fault Diagnosis of Solar Modules in Electroluminescence Images

Discriminative Dictionary Learning for Automatic Fault Diagn...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Xuan Li Qingyu Yang Wei Zhou System Engineering Center Space Star Technology Co.Ltd.

As a basic unit of solar module used in photovoltaic power generating system,solar cell is *** appear during manufacturing,transporting,and *** assembled into solar modules many faults cannot be visually observed with the conventional CCD imaging *** some algorithms have been developed,the accurate diagnosis of solar modules is still challenging *** this paper,we propose a novel method for automatic fault diagnosis of solar modules in electroluminescence(EL) images,which is based on Fisher Discrimination Dictionary Learning(FDDL) with Sparse Representation Classifier(SRC).The whole EL image is firstly divided into several image blocks representing the solar ***,discriminative dictionaries(i.e.,the dictionary atoms have correspondences to the class labels) are learned based on these image *** the test step,a query EL image is divided into a series of image blocks,the class label of each image block can be identified by computing the reconstruction error and representation coefficients for each *** evaluate our proposed method with the EL images collected on the experiment *** results show that the proposed method performs effectively for detecting and diagnosing the four common faults on solar modules.

关键词： Diagnosis Electroluminescence Fault detection Discrimination dictionary learning Sparse representation

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Heating-up control with delay-free output prediction for industrial jacketed reactors

Heating-up control with delay-free output prediction for ind...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Tao Liu Hongyu Tian Shili Rong Wei Wang Institute of Advanced Control Technology Dalian University of Technology

To expedite the heating-up response without overshoot for industrial jacketed reactors typically involved with long time delay,a predictive two-degree-of-freedom(2 DOF) control scheme is proposed for the heating-up process operation,based on model identification from a step response *** performing a simple step test such as turning on the electrical heater with certain power(e.g.,50% or 100% of the heating power) to observe the heating-up temperature response,a transfer function identification method is developed to establish an integrating type process model with time delay for describing the fundamental dynamics of the heating-up *** on the identified model,a predictorbased 2 DOF control scheme is analytically designed by proposing the desired transfer functions for the set-point tracking and load disturbance rejection,*** examples from the literature and a practical application to a 4-liter jacketed reactor for pharmaceutical crystallization are shown to demonstrate the effectiveness and merit of the proposed identification and control method.

关键词： Jacketed reactors heating-up control time delay integrating type process model step response identification output predictor

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A Fractional Order PIλDμ Control Method for Microbial Fuel Cell

A Fractional Order PIλDμ Control Method for Microbial Fuel...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： AN Ai'min LIU Yun'li ZHANG Hao'chen ZHU Lu HAN Kejian College of Electrical and Information Engineering Lanzhou University of Technology Key Laboratory of Gansu Advanced Control for Industrial Processes National Experimental Teaching Center of Electrical and Control Engineering

Aiming at the problem that the traditional integer order PID control strategy of microbial fuel cell(MFC) system is slow respond to rapid dynamics and the overshoot is large in the manipulation *** this paper,a fractional order PID control strategy for MFC is put forward and implemented based on the advantage of fractional PID *** anode and cathode models are modeled respectively,then apply the models to analyze the performance of the microbial fuel cell system.A fractional PID controller is designed for controlling the MFC according to the dynamic analysis results.A MFC case is used to demonstrate the effectiveness of proposed fractional PID *** simulation results show that the designed fractional PID controller has the advantages of smaller overshoot and faster response speed compared to integer PID controller.

关键词： microbial fuel cell neural network performance analysis predictive control

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Automatic Identification of Butterfly Species Based on GLCM Features of Image Block

Automatic Identification of Butterfly Species Based on GLCM ...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Fan Li Yin Xiong Faculty of Information Engineering and Automation Kunming University of Science and Technology Faculty of life science and technology Kunming University of Science and Technology

In recent years,automatic identification of butterfly species aroused more and more attention in different *** most of their larvae are pests,this research is not only meaningful for the popularization of science but also important to the agricultural production and the *** as a notable feature is widely used in digital image recognition digital image technology;for describing the texture,an extremely effective method:Gray-level Co-occurrence Matrix(GLCM) has been proposed and used in a lot of automatic identification ***,according to most of the existing works,GLCM was computed by the whole image,which extremely likely missed some important features in local *** solve this problem,this paper presents a new method based on:the Gl CM features were extruded from the three image blocks which contain the global features and local features;a weight-based k-nearest neighbor(KNN) search algorithm was used for classifier *** this method,a butterfly classification system worked on ten butterfly species which is hard to identify by shape *** final identification accuracy is 98%.

关键词： Automatic identification Butterfly species GLCM features of image block

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A new frequency hierarchical control method of islanded microgrid based on H∞ control

A new frequency hierarchical control method of islanded micr...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Yiwei MA Zhen WANG Changhao PIAO Xianlun TANG School of Automation Chongqing University of Posts and Telecommunications

In this paper,a novel frequency hierarchical control scheme based on H∞ control is proposed to improve the frequency stability of islanded microgrid,which consists of renewable energy sources,battery energy storage system(BESS) and diesel generator(DE).The frequency hierarchical control is presented to utilize the different response characteristics of BESS and DE as to improve the frequency dynamic performance of islanded *** H∞ controller for the primary frequency control is designed to modify the droop control of BESS as to improve the transient response and the robustness against any small disturbance of the frequency,and the H∞ controller for the secondary frequency control is given to modify the speed governor of DE as to achieve no-error frequency control against any large deviation of *** proposed frequency hierarchical control method and models of H∞ controllers for BESS and DE are verified by simulations and experimentations,and the results achieved demonstrate the effectiveness and feasibility of the proposed method.

关键词： Frequency hierarchical control Islanded microgrid H∞ control Battery energy storage system Diesel generator

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Iterative Learning Guaranteed Cost Control for Multi-phase Batch Processes

Iterative Learning Guaranteed Cost Control for Multi-phase B...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Limin Wang Yuting Xiong Qianqian Yang Ke Zhang Furong Gao College of Sciences Liaoning Shihua University School of Mathematics and Statistics Hainan Normal University School of Automation Chongqing University Department of Chemical and Biomolecular Engineering Hong Kong University of Science and Technology

The batch process is a typically multi-phase *** to the interaction between the phases of the batch process,the high precision control in a single phase cannot guarantee the high precision control of the whole batch *** order to solve this problem,the iterative learning guaranteed cost control of multi-phase batch processes is studied in this ***,through introducing the output error,the state error and the extended information,the multi-phase batch process is transformed into an equivalent 2 D switched system which has different *** addition,under the measurable condition,the iterative learning guaranteed cost control law with extended information is *** proposed control law ensures not only the stability of the system but also the optimal control ***,in order to study the stability of the system and the minimum running time under the condition of stable running,the multi-Lyapunov function method is *** means of the average dwell time method,the sufficient conditions ensuring system to be exponentially stable are given in the form of ***,the injection molding process is taken as an example to make simulation,which shows the feasibility and effectiveness of the proposed method.

关键词： multi-phase batch process iterative learning control average dwell time hybrid guaranteed cost controller

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Prediction Model of Slurry pH based on Mechanism and Error Compensation for Mineral Flotation Process

Prediction Model of Slurry pH based on Mechanism and Error C...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Huang Lei Wang Xiaoli Yang Chunhua School of Information Science and Engineering Central South University

A suitable p H value of the slurry is a key to efficient mineral *** the control delay problem of p H value caused by offline p H measurement,an integrated prediction model for p H value in bauxite froth flotation is proposed,which considers the effect of ore compositions on p H ***,a regression model is obtained for alkali(NaCO) consumed by the reaction between ore and *** to the first-order hydrolysis of the remaining alkali,a mechanism-based prediction model is presented for the p H *** then,considering the complexity of the flotation mechanism,an error prediction model which uses time series of the error of the mechanism model as inputs is presented based on auto regressive moving average(ARMA) method to compensate the mechanism ***,expert rules are established to correct the error compensation direction,which could reflect the dynamic changes during the process accurately and *** results using industrial data show that the presented model meets the needs of the industrial process,which laid the foundation for predictive control of p H regulator.

关键词： Froth flotation PH value prediction Mechanism model ARMA Expert rule

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