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Cyclic Scheduling of No Backup Cracking Furnace System Considering Real World Operational Characteristics

IFAC Proceedings Volumes 2014年第3期47卷 9569-9574页

作者： Zihao Wang Yiping Feng Gang Rong State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P.R.China

Ethylene cracking furnace system is the heart of ethylene production. It can process different raw materials in the pipe group of each furnace and can produce the main chemical products like ethylene, propylene and ethane. In the real world ethylene plant, there are two operation modes in the furnace system, one has a backup furnace in the system and the other is with all the furnaces available online. Compared with the mode which has a backup furnace, the operation mode with all the furnace online has more benefits in prolonging the batch processing time and saving the operational cost. Considering some of the operational characteristics like shutting down for decoking and varying running capacity with the processing cost and product values, the scheduling scheme is optimized to achieve the best economic performance of the cracking furnace system. In this paper, an improved MINLP model considering some real world operational characteristics under the no backup furnace operation mode is developed and solved by a new heuristic iterative solving method. The feasibility and the efficiency of the model is demonstrated through a numerical case study from a real world plant.

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Circular genetic operators based RNA genetic algorithm for modeling proton exchange membrane fuel cells

Circular genetic operators based RNA genetic algorithm for m...

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作者： Zhu, Qinqin Wang, Ning Zhang, Li National Laboratory of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Hangzhou310027 China College of Automation and Electrical Engineering Zhejiang University of Science and Technology Hangzhou310023 China

Inspired by the biological RNA, a circular genetic operators based RNA genetic algorithm (cRNA-GA) is proposed to estimate the model parameters of the proton exchange membrane fuel cell (PEMFC). To maintain the population diversity and avoid premature convergence, we design the novel genetic operator of the double-loop crossover operator. To allow the algorithm to jump out of local optima, the adaptive mutation probabilities are presented and the stem-loop mutation operator is adopted with the other mutation operators. The simulated annealing method is also incorporated into the cRNA-GA to improve local search ability. Performance tests conducted on some typical benchmark functions have witnessed the validity of cRNA-GA. The cRNA-GA is also applied to estimate the parameters of the PEMFC model and the satisfactory results have shown its effectiveness. © 2014 Hydrogen Energy Publications, LLC.

关键词： RNA

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Differential Spatial Modulation for Dual-hop Amplify-and-Forward Relaying

Differential Spatial Modulation for Dual-hop Amplify-and-For...

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IEEE International Conference on Communications

作者： Meng Zhang Miaowen Wen Xiang Cheng Liu-Qing Yang School of Electronics Engineering and Computer Science Peking University School of Electronic and Information Engineering South China University of Technology State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467364300

Differential spatial modulation (DSM) is a newly proposed differential modulation technique tailored to spatial modulation (SM), which requires no channel state information (CSI) at the receiver. DSM can offer flexible tradeoff between the reception reliability and the system complexity. In this paper, we are the first to study the adoption of DSM in a dual-hop amplify-and-forward (AF) relaying system, which consists of a two-antenna source, a single-antenna relay, and a single-antenna destination, so as to reduce the burden of channel tracking on both the relay and the destination. We derive a general upper bound on the average bit error probability (ABEP) achieved by the system. Moreover, an exact closed-form ABEP expression and the asymptotic result are provided for BPSK signaling in Rayleigh fading environment. The same system setup with the adoption of SM at the source is chosen as a benchmark for performance comparisons. Simulation results validate the analysis and reveal a 3dB signal-to-noise power ratio (SNR) penalty of the considered system compared with the benchmark.

关键词： Relays Upper bound Binary phase shift keying Signal to noise ratio Transmitting antennas Wireless communication

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Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network

Continuous Travel Time Prediction for Transit Signal Priorit...

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International Conference on Intelligent Transportation

作者： Xiong Gang Wenwen Kang Feiyue Wang Fenghua Zhu Yisheng Lv Xisong Dong Jukka Riekki Susanna Pirttikangas State Key Lab. of Manage. & Control for Complex Syst. Institute of Automation Chinese Academy of Sciences Beijing Beijing CN The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences Dongguan CHINA Faculty of Information Technology and Electrical Engineering University of Oulu Finland

It has been recognized by many researchers that accurate bus travel time prediction is critical for successful deployment of traffic signal priority (TSP) systems. Although there exist a lot of studies on travel time prediction for Advanced Traveler Information systems (ATIS), this problem for TSP purpose is a little different and the amount of literature is limited. This paper proposes a deep learning based approach for continuous travel time prediction problem. Parameters of the deep network are fine-tuned following a layer-by-layer pre-training procedure on a dataset generated by traffic simulations. Variables that may affect continuous travel time are selected carefully. Experiments are conducted to validate the performance of the proposed model. The results indicate that the proposed model produces prediction with mean absolute error less than 4 seconds, which is accurate enough for TSP operations. This paper also reveals that, except for obvious factors like speed, travel distance and traffic density, the signal time when the prediction is made is also an important factor affecting travel time.

关键词： Vehicles Predictive models Object oriented modeling Training Artificial neural networks Data models

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Modelling and Optimization Methods of Integrated Production Planning for Steel Plate Mill with Flexible Customization

Modelling and Optimization Methods of Integrated Production ...

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第25届中国过程控制会议

作者： Shan Lu Hongye Su Charlotta Johnsson Yue Wang Lei Xie State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Department of Automatic Control Lund University

With diversified requirements and varying manufacturing environments,the optimal production planning encountered in a steel mill has become more flexible and also *** flexibility provides the operator with auxiliary options to satisfy customer requirements through an implementable integrated production *** this paper,a mixed-integer nonlinear programming(MINLP)model is formulated for the optimal planning that incorporates various manufacturing constraints and the flexibility in a steel plate ***,two solution strategies are developed to overcome the weakness of solving MINLP problem *** first one is to transform the original MINLP formulation to an approximate mixed integer linear programming(MILP)using a classic linearization *** second one is to decompose the original model using a branch-and-bound based iterative *** experiments on various problem instances are presented in terms of the effectiveness and *** result shows that the proposed second method performs better in computational efforts and solution accuracy.

关键词： production planning,steel plate mill,flexibility,mixed integer nonlinear programming

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Surface modification of ZnO nanosheets with Au/polyaniline and their properties

Surface modification of ZnO nanosheets with Au/polyaniline a...

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作者： Cong, Q. Geng, H. He, X. Gao, M. Ma, X. Li, G. School of Environmental and Material Engineering Center of Advanced Functional Materials Yantai University Yantai264005 China State Key Laboratory of Silicon Materials Zhejiang University Hangzhou310027 China National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China

ZnO has many potential applications, such as, solar cells, photocatalysts, chemical sensors and biosensors. However, to extend its visible light response is still a great challenge. In this paper, ZnO nanosheets were prepared by a wet chemical method. The surface treatment of ZnO nanosheets was carried out using chloroauric acid, and then reduced with aniline. A series of characterisations were examined by TEM (transmission electron microscopy), XRD (X-ray diffraction), the Fourier transform infrared (FTIR) spectra and ultraviolet-visible spectroscopy (UV-vis). The experimental results indicated that ZnO nanosheets modified with a thin layer of Au/PANi composite exhibited wide visible light response. A chemical prototype sensor was constructed based on the ZnO/Au/polyaniline nanocomposites prepared and interdigital electrodes on flexible polymer substrates. The effects of surface treatment of ZnO nanosheets on the gas sensing behaviours were examined. The results indicated that the effective conductive channels for charge transfer and separation were formed due to the Au/polyaniline necklaces attached on the surface of ZnO nanosheets, and the type of conductivity of ZnO/Au/polyaniline nanocomposite changed to P-type from N-type with increasing the amounts of chloroauric acid. When the synthesis parameter of ZnO/Au/polyaniline nanocomposite was optimised, the gas sensitivity of ZnO/Au/PANi (polyaniline) was superior to that of PANi nanowire prepared under similar synthesis condition, and it has been found that this kind of nanocomposite not only possesses widening light response, harvests more visible light, but also presents effective channels for charge transfer. It would be useful in potential applications in photocatalysts or other fields. © W. S. Maney & Son Ltd. 2014.

关键词： Surface treatment

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ZnO/CuS heterostructured nanocomposite and its organic functionalisation

ZnO/CuS heterostructured nanocomposite and its organic funct...

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作者： Cong, Q. He, X. Gao, M. Ma, X. Li, G. School of Environmental and Material Engineering Center of Advanced Functional Materials Yantai University Yantai264005 China State Key Laboratory of Silicon Materials Zhejiang University Hangzhou310027 China National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China

In order to extend the visible light response of ZnO, ZnO/CuS nanocomposite with heterostructure was prepared by a simple two-step hydrothermal synthesis. The as prepared ZnO/CuS heterostructured nanocomposite was characterised by SEM, photoluminescence, ultraviolet-visible spectroscopy and X-ray diffraction. On the other hand, chitosan is considered as a very promising natural biopolymer. It holds not only abundant resource and low cost but also has excellent adsorption properties to a broad range of organic pollutants and some heavy metal ions. To improve the adsorption properties of ZnO/CuS heterostructured nanocomposite, a water soluble chitosan containing carboxyl groups was synthesised with graft copolymerisation. Surface modification of ZnO/CuS heterostructured nanocomposite was carried out utilising the self-assembly process between hydroxyl groups of ZnO/CuS nanocomposite and carboxyl groups of water soluble chitosan. Comparative tests before and after surface modification were performed with Fourier transform infrared spectroscopy. To examine the surface and interface properties of nanocomposites, chemical prototype sensor arrays were constructed based on ZnO, ZnO/CuS nanocomposite, and ZnO/CuS nanocomposite modified with chitosan containing carboxyl groups and quartz crystal microbalance devices. The adsorption response behaviours of the sensor arrays to some typical volatile compounds were examined. The results indicated that, with comparison to ZnO nanostructure, the ZnO/CuS nanocomposite exhibited enhanced adsorption properties to some typical volatile compounds dramatically, and the effect of one layer modification on the surface adsorption properties of ZnO/CuS nanocomposite is also very evident and useful, which provides a microenvironment of biocompatibility for ZnO/CuS nanocomposite. At same time, ZnO/CuS nanocomposite showed broadening visible light response and hence has good potential applications in new energy materials, photocatalysts, chemic

关键词： Nanocomposites

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A Production Planning Model for a Steel Plate Fabrication Plant with Flexible Customization and Manufacturing

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IFAC Proceedings Volumes 2014年第3期47卷 3315-3320页

作者： Shan Lu Hongye Su Charlotta Johnsson Lei Xie State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P.R. China Department of Automatic Control Lund University Sweden

With increased market competition and advances in modern manufacturing technologies, requirements on customer orders and manufacturing conditions have become more diversified. This paper addresses a dynamic production planning problem for a steel plate fabrication plant with practical flexibility of both customers and manufacturing, such as steel slab-plate matching rules, plate substitution options, production line assignment. These flexibility factors can provide the decision maker with auxiliary options to satisfy customer requirements through realizable production planning. The steel slab-plate matching rules combined with plate substitution options are visualized by a networked graph and formulated by a set based design. A mixed-integer nonlinear programming (MINLP) model that incorporates various manufacturing constraints and the flexibility is proposed to simultaneously optimize production strategy and provide practical managerial information such as backlogging/inventory level, capacity availability, and also steel slab demand. Linearization methods are used to transform the original MINLP problem into mixed integer linear programming (MILP) model resulting in easier and quicker solutions. A real industrial steel plate fabrication plant is used as a case and illustrates the effectiveness and applicability of the proposed method.

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Automatic calibration method of voxel size for cone-beam 3D-CT scanning system

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Chinese Physics C 2014年第4期38卷 69-74页

作者：杨民王晓龙刘义鹏孟凡勇李兴东刘文丽魏东波 School of Mechanical Engineering and Automation Beijing Univ.of Aeronautics and Astronautics Department of Control Science and Engineering Harbin Institute of Technology State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of Sciences National Institute of Metrology

For a cone-beam three-dimensional computed tomography （3D-CT） scanning system, voxel size is an important indicator to guarantee the accuracy of data analysis and feature measurement based on 3D-CT images. Meanwhile, the voxel size changes with the movement of the rotary stage along X-ray direction. In order to realize the automatic calibration of the voxel size, a new and easily-implemented method is proposed. According to this method, several projections of a spherical phantom are captured at different imaging positions and the corresponding voxel size values are calculated by non-linear least-square fitting. Through these interpolation values, a linear equation is obtained that reflects the relationship between the voxel size and the rotary stage translation distance from its nominal zero position. Finally, the linear equation is imported into the calibration module of the 3D-CT scanning system. When the rotary stage is moving along X-ray direction, the accurate value of the voxel size is dynamically exported. The experimental results prove that this method meets the requirements of the actual CT scanning system, and has virtues of easy implementation and high accuracy.

关键词： cone-beam CT voxel size least square fitting automatic calibration

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Switched Fault Diagnosis Approach for industrial Processes based on Hidden Markov Model

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Journal of Physics: Conference Series 2015年第1期659卷

作者： Lin Wang Chunjie Yang Youxian Sun Yijun Pan Ruqiao An State Key Laboratory of Industrial Control Technology Institute of Industrial processes Control Zhejiang University Hangzhou Zhejiang China

Traditional fault diagnosis methods based on hidden Markov model (HMM) use a unified method for feature extraction, such as principal component analysis (PCA), kernel principal component analysis (KPCA) and independent component analysis (ICA). However, every method has its own limitations. For example, PCA cannot extract nonlinear relationships among process variables. So it is inappropriate to extract all features of variables by only one method, especially when data characteristics are very complex. This article proposes a switched feature extraction procedure using PCA and KPCA based on nonlinearity measure. By the proposed method, we are able to choose the most suitable feature extraction method, which could improve the accuracy of fault diagnosis. A simulation from the Tennessee Eastman (TE) process demonstrates that the proposed approach is superior to the traditional one based on HMM and could achieve more accurate classification of various process faults.

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