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A prognostic-based dynamic optimization strategy for a degraded solid oxide fuel cell

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 2020年 39卷

作者： Wu, Xiaojuan Xu, Liangfei Wang, Junhao Yang, Danan Li, Fusheng Li, Xi Univ Elect Sci & Technol China Sch Automat Engn Chengdu 610054 Peoples R China Tsinghua Univ State Key Lab Automot Safety & Energy Sch Vehicle & Mobil Beijing 100084 Peoples R China Huazhong Univ Sci & Technol Educ Minist Key Lab Image Proc & Intelligent Control Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China

In actual operation, solid oxide fuel cells are vulnerable to performance degradation. Predicting degradation trends and taking appropriate measures to reduce voltage degradation can prolong the lifetime of fuel cells. In addition, because the influence of related factors on the voltage degradation and efficiency are mutually coupled, it is necessary to take into account the efficiency when decreasing the voltage degradation. Therefore, in this study a prognostic-based dynamic optimization strategy is proposed to quantitatively extend the fuel cell's life without significantly compromising on the generating efficiency. For the lack of learning samples, a prognostic method based on the similarity of phase space trajectory is utilized to estimate the remaining useful life of the fuel cell, and it is compared with a traditional data-driven prognostic method. A multi-objective dynamic optimization method is employed to determine the optimal efficiency-voltage degradation solution through the predicted operating lifetime. Using the proposed prognostic-based dynamic optimization strategy, the results show that the lifetime of the fuel cell can be effectively extended without significant reduction in the generating efficiency for three test degradation trajectories.

关键词： Solid oxide fuel cell Prognostic Dynamic optimization Degradation Lifetime extension

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A detection and identification method based on CNN for laser point thermal radiation

A detection and identification method based on CNN for laser...

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2020 International Conference on Mechatronics Technology and intelligent Manufacturing, ICMTIM 2020

作者： Yang, Haichuan Xie, Ruidong Yi, Yingmin Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China Key Lab of Manufacturing Equipment of Shaanxi Province Xi'an University of Technology Xi'an710048 China

Aiming at the high demands of temperature and precision in the aspect of additive manufacturing, a method based on CNN was proposed for estimating measurement. The network was trained through the collected laser thermal radiation images for image recognition and isotherm estimation after modeling a CNN. The experimental conclusion verifies that the isotherm detection and temperature estimation of the laser point can be efficiently implemented in proposed method. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Isotherms

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A power optimization control method based on IMC for 3D printer

A power optimization control method based on IMC for 3D prin...

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2020 International Conference on Mechatronics Technology and intelligent Manufacturing, ICMTIM 2020

作者： Xie, Ruidong Yang, Haichuan Yi, Yingmin Key Lab of Manufacturing Equipment of Shaanxi Province Xi'an University of Technology Xi'an710048 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China

Aiming at the effect of selective laser sintering technology used in 3D printing, the recursive least squares method was applied to fitting a control system model for quantification the relationship between laser power and corresponding temperature in this paper. The internal model control method is considered based on the establishing model. The controller is put into the actual 3D printing power control system for controlling the laser power. In the experiment, both internal model controller and the PID controller for the 3D printer are researched and deployed for comparing the their effects in the paper. The experimental result illustrates that the IMC based on the recursive least squares method is of effectiveness. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： 3D printers

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Density peaks clustering-based steady/transition mode identification and monitoring of multimode processes

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CANADIAN JOURNAL OF CHEMICAL ENGINEERING 2020年第10期98卷 2137-2149页

作者： Zheng, Ying Wang, Yang Yan, Haolan Wang, Yan Yang, Weidong Tao, Bo Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Zhengzhou Univ Light Ind Sch Elect & Informat Engn Zhengzhou Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan Peoples R China

Multimode is the characteristic of industrial manufacturing processes due to different production strategies and environments. For multimode process monitoring, it is a challenge to identify different steady modes and transition modes. In this paper, a k nearest neighbours (KNN)-based density peaks clustering (DPC) method is applied to identify different modes. First, the local density of each sample, which is obtained with a KNN constraint and its minimum distance to the higher local density points are calculated as two indicators of the DPC algorithm to find the cluster centres of the training data. Then, the transition modes are identified by combining the moving window strategy and the DPC algorithm, where an index called the local density-distance ratio (LDDR) is employed. Finally, the monitoring algorithm is used to detect the faults for each operation mode. The effectiveness and advantages of the proposed method are illustrated by a numerical example and a Tennessee Eastman (TE) benchmark process.

关键词： density peaks clustering k nearest neighbours mode identification process monitoring

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Discharge performance recovery of a solid oxide fuel cell based on a prognostic-based control strategy

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JOURNAL OF POWER SOURCES 2020年 480卷

作者： Wu, Xiaojuan Xu, Liangfei Wang, Junhao Yang, Danan Zhang, Mingtao Li, Xi Univ Elect Sci & Technol China Sch Automat Engn Chengdu 610054 Peoples R China Tsinghua Univ Sch Vehicle & Mobil State Key Lab Automot Safety & Energy Beijing 100084 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Educ Min Wuhan 430074 Peoples R China

Before the commercialization of solid oxide fuel cells, degradation is considered one of the biggest technical problems, which may lead to a decrease in the discharge performance of the fuel cell. This paper proposes a prognostic-based control strategy to restore the discharge performance during the degradation process, thereby extending the life of the fuel cell. A prognostic approach based on wavelet decomposition and an echo state network is utilized to predict the downward trend in the discharge performance, and then iterative learning controllers are designed to restore the discharge performance. Taking nickel coarsening and oxidation degradation mechanisms as an example, several controllers with different discharge performance recovery capabilities are built. The simulation results show that compared with no controller, the power generation efficiency using the proposed strategy is reduced by 12.4% at most, while the remaining useful lifetime is increased by at least 26.3%. The proposed strategy can restore the discharge performance without significant reduction in the generation efficiency. The proposed method is not only suitable for nickel coarsening and oxidation degradation, but also can be generalized to different types of degradation and different types of fuel cells.

关键词： Solid oxide fuel cell (SOFC) Discharge performance recovery Prognostic Iterative learning control

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Fuzzy DNA Strand Displacement: A Strategy to Decrease the Complexity of DNA Network Design

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Angewandte Chemie 2020年第35期132卷 15089-15095页

作者： Wang Z. Hu Y. Pan L. Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China College of Information Science and Technology Shijiazhuang Tiedao University Shijiazhuang 050043 China

Toehold-mediated DNA strand displacement endows DNA nanostructures with dynamic response capability. However, the complexity of sequence design dramatically increases as the size of the DNA network increases. We attribute this problem to the mechanism of toehold-mediated strand displacement, termed exact strand displacement (ESD), in which one input strand corresponds to one specific substrate. In this work, we propose an alternative to toehold-mediated DNA strand displacement, termed fuzzy strand displacement (FSD), in which one-to-many and many-to-one relationships are established between the input strand and the substrate, to reduce the complexity. We have constructed four modules, termed converter, reporter, fuzzy detector, and fuzzy trigger, and demonstrated that a sequence pattern recognition network composed of these modules requires less complex sequence design than an equivalent network based on toehold-mediated DNA strand displacement. © 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

关键词： DNA recognition DNA structures enzymes molecular devices self-assembly

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Integrated optimization of Order Batching and Distribution based on EDA

Integrated optimization of Order Batching and Distribution b...

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第32届中国控制与决策会议

作者： Shunli Feng Yindong Shen Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of science and technology

The order picking and distribution are two necessary activities in logistics,the cost of which accounts for a considerable portion of the logistics *** there are dependencies between these two activities,a lot of work has been carried out on them independently;hence,the optimization may be *** paper proposes an integrated order batching and distribution *** objectives are to minimize the makespan（including picking time and delivery time） and to minimize the number of delivery *** solve the integrated model,an EDA approach is devised,in which an elaborate encoding/decoding method is employed and an incremental learning probability model is *** show that the proposed integrated model and its solution approach can lead to a significant reduction in the total cost（weighted sum of the makespan and the number of delivery trips）.

关键词： Order Batching Order picking Logistics Distribution EDA approach

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Grey Wolf Optimization Based Self-Organizing Fuzzy Multi-Objective Evolution Algorithm

Research Square

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Research Square 2021年

作者： Xie, Jialiang Zhang, Shanli Wang, Honghui Wu, Dongrui School of Science Jimei University Xiamen361021 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control China

Two goals of multi-objective evolutionary algorithms are effectively improving its convergence and diversity, and making the Pareto set evenly distributed and close to the real Pareto Front. This paper proposes a grey wolf optimization based self-organizing fuzzy multi-objective evolutionary algorithm. Grey wolf optimization algorithm is used to optimize the initial weights of the self-organizing map network. New neighborhood relationships for individuals are built by self-organizing map, which can maintain the invariance of feature distribution and map the structural information of the current population into Pareto Sets. Based on this neighborhood relationship, this paper uses the fuzzy differential evolution operator, which constructs a fuzzy inference system to dynamically adjust the weighting parameter in the differential operator, to generate a new initial solution, and the polynomial mutation operator to refine them. Boundary processing is then conducted. Experiments on fifteen test problems were conducted to verify its effectiveness. Results show that the convergence and diversity of the proposed algorithm are better than several state-of-the-art multi-objective evolutionary algorithms. © 2021, CC BY.

关键词： Self organizing maps

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Vision-based Autonomous Landing of Unmanned Aerial Vehicle on a Motional Unmanned Surface Vessel

Vision-based Autonomous Landing of Unmanned Aerial Vehicle o...

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第三十九届中国控制会议

作者： Zhe-Cheng Xu Bin-Bin Hu Bin Liu XD Wang Hai-Tao Zhang School of Artificial Intelligence and Automation the Key Laboratory of Image Processing and Intelligent ControlHuazhong University of Science and Technology

This paper has developed a vision-based control approach for autonomous tracking and landing on a motional Unmanned surface vessel（USV） with an unmanned aerial vehicle（UAV）. First, a novel three-stage visual detection method is proposed to estimate the relative 3 D position between UAV and USV, where the USV stays in a suitable view of the camera of the UAV. Then a PID controller is designed to regulate the attitude of the quadrotor and the movement of the vessel, which enables the successful landing procedure of the UAV on a motional USV. Finally, lake experiments are conducted to verify the effectiveness of the proposed algorithm.

关键词： Autonomous landing Unmanned aerial vehicle Unmanned surface vessel Computer vision

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Local Synchronization on Asynchronous Tissue P Systems With Symport/Antiport Rules

IEEE TRANSACTIONS ON NANOBIOSCIENCE

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IEEE TRANSACTIONS ON NANOBIOSCIENCE 2020年第2期19卷 315-320页

作者： Pan, Linqiang Alhazov, Artiom Su, Housheng Song, Bosheng Huazhong Univ Sci & Technol Key Lab Image Informat Proc & Intelligent Control Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Vladimir Andrunachievici Inst Math & Comp Sci MD-2028 Kishinev Moldova Hunan Univ Coll Informat Sci & Engn Changsha 410082 Peoples R China

Asynchronous tissue P systems with symport/antiport rules are a class of parallel computing models inspired by cell tissue working in a non-synchronized way, where the use of rules is not obligatory, that is, at a computation step, an enabled rule may or may not be applied. In this work, the notion of local synchronization is introduced at three levels: rules, channels, and cells. If a rule in a locally synchronous set of rules (resp., cells or channels) is used, then all enabled rules in the same locally synchronous set of rules (resp., whose involved channels or cells) should be applied in a maximally parallel manner and the implementation of these rules is finished in one computation step. The computational power of local synchronization on asynchronous tissue P systems with symport/antiport rules at the three levels is investigated. It is shown that asynchronous tissue P systems with symport/antiport rules and with locally synchronous sets of rules, channels, or cells are all Turing universal. By comparing the computational power of asynchronous tissue P systems with or without local synchronization, it can be found that the local synchronization is a useful tool to achieve a desired computational power.

关键词： Bio-inspired computing membrane computing tissue P system asynchronization local synchronization

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