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Chinese Automation Congress (CAC)

作者： Minmin Wang Aimin An 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 Lanzhou china

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Microbial fuel cell (MFC) has serious nonlinearity and external disturbances when operating. In order to keep the ideal output of MFC under different load disturbances, an intelligent optimization control method based on BP neural network PID(BP-NN PID) is proposed. This method uses self-learning ability to tune the parameter of the PID controller. In addition, the online real-time control of the BP-NN algorithm shows the ability of the BP-NN to handle nonlinear systems. The simulation experiment finally shows that compared with traditional PID and single neuron PID, the BP-NN PID algorithm has good dynamic response, steady-state accuracy, adaptive ability, and strong robustness, which can make the output voltage of MFC meet the requirements.

关键词： Anodes Cathodes Voltage control PI control PD control process control Optimization

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Activation of Peroxymonosulfate By Laco3oh Coupled with N, S Co-Doped Graphene for Levofloxacin Degradation

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SSRN 2023年

作者： Pei, Wenkai Wang, Yu Liu, Yujie Zhou, Liang Lei, Juying Zhang, Jinlong National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery School of Resources and Environmental Engineering East China University of Science and Technology Shanghai200237 China ShanghaiEngineeringResearchCenterforMulti-mediaEnvironmentalCatalysisandResourceUtilization East China University of Science and Technology 130 Meilong Road Shanghai200237 China Key Laboratory for Advanced Materials Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center School of ChemistryandMolecularEngineering EastChinaUniversityofScienceandTechnology 130MeilongRoad Shanghai200237 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin150090 China

The activation of peroxymonosulfate (PMS) by metal-based materials is currently considered to have great potential for pollutant treatment. However, secondary environmental damage from common transition metals is often unavoidable. Rare earth metals with high energy level, multi-electron configuration and unique 4f orbital can be used as an electron transfer bridge to reduce interfacial energy loss and promote electron transfer, which were incorporated the catalyst to activate PMS. In this study, calcination and hydrothermal method were combined to fabricated LaCO3OH coupled with N, S co-doped graphene(LCOH/GNS), which exhibited superior catalytic performance in PMS activation for LVX degradation. LaCO3OH(LCOH) was first used for PMS activation and showed excellent degradation properties and reduced ecotoxicity. The doping of N and S in the graphene matrix enhances the adsorption of PMS, electron transfer and reduces metal ion leaching, thus promoting the interaction and reaction between LCOH and PMS. The degradation process may involve multiple-oxidative pathways, which was confirmed by radical quenching experiments and the EPR technique. This study provided a novel method for the rational design of rare earth metal based-carbon catalysts, and LCOH/GNS-PMS was expected to be a promising technology for antibiotic degradation in wastewater treatment. © 2023, The Authors. All rights reserved.

关键词： Graphene

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Run-to-run trajectory prediction of uneven-length batch processes using DTW-LSTM 8

Run-to-run trajectory prediction of uneven-length batch proc...

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8th IEEE Data Driven control and Learning Systems Conference, DDCLS 2019

作者： Shen, Feifan Ye, Lingjian Fan, Saite Ge, Zhiqiang Song, Zhihuan Key Laboratory of Advanced Process Control for Light Industry Jiangnan University Ministry of Education Wuxi214122 China Ningbo Institute of Technology Zhejiang University Department of Information Technology and Engineering Ningbo315100 China State Key Laboratory of Industrial Control Technology Zhejiang University Department of Control Science and Engineering Hangzhou310027 China

ISBN: (纸本)9781728114545

This paper handles with the problem of the run-to-run trajectory prediction of batch processes with uneven batch length. Most current data-driven works focus on the run-to-run variations during both batch trajectory modeling and prediction stages. However, batch-to-batch correlations should be drawn extreme attentions to when gradual changes exist in batch sequence. To obtain a better batch trajectory prediction performance of uneven-length batch processes, dynamic time warping (DTW) and long-short term memory (LSTM) neural network are introduced in this work to extract batch-to-batch correlations. Firstly, the recursive DTW is used to synchronize uneven batch samples. Then, the LSTM neural network is introduced to extract the run-to-run batch correlations during the trajectory modeling stage. Finally, online batch trajectory prediction can be implemented according to the offline LSTM model. A simulation based on the fed-batch penicillin fermentation process is provided to testify the effectiveness of the proposed method. © 2019 IEEE.

关键词： Long short-term memory

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Defect detection of yarn-dyed shirts based on denoising convolutional self-encoder 8

Defect detection of yarn-dyed shirts based on denoising conv...

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8th IEEE Data Driven control and Learning Systems Conference, DDCLS 2019

作者： Zhang, Hongwei Tang, Wenbo Zhang, Lingjie Li, Pengfei Gu, De Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou Zhejiang Province310027 China Xi'An Polytechnic University Xi'an ShanXi710048 China Key Laboratory of Advanced Process Control for Light Industry Institute of Automation Jiangnan University Ministry of Education Wuxi214122 China

ISBN: (纸本)9781728114545

A defect detection algorithm for dyed shirts with supervised framework relies on a large number of labeling samples and high modeling cost. This paper proposes an automatic detection and location method for color fabric defects based on unsupervised denoising convolution self-encoder. Firstly, a shirt image data set containing 66 kinds of yarn-dyed patterns and a total of 11900 pieces was constructed. Then, Gaussian noise was added to the defect-free samples, and a depth-deconvolution convolution self-encoder was used to construct the image of the yarn-dyed shirt piece. The denoising reconstruction model performs reconstructive repair on the noise interference;Then, the residual of the image is tested and the reconstructed image is calculated, and the slice defect region is detected and located using a mathematical morphology algorithm. The experimental results show that the image reconstruction model and residual image analysis algorithm based on denoising convolution self-encoder can effectively detect and locate the defective area of the dyed shirt piece without relying on the label sample. © 2019 IEEE.

关键词： Yarn

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Fractional order PID control of microbial fuel cell based on Kalman filter

Fractional order PID control of microbial fuel cell based on...

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第32届中国过程控制会议(CPCC2021)

作者： Yingying Zhao Minmin Wang Aimin An Minan Tang Dongsong Luo Feihong He Yinying Fan College of Electrical and Information Engineering Lanzhou University of Technology Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology College of Automation and Electrical Engineering Lanzhou Jiaotong University Gansu Province Special Equipment Inspection and Testing Institute College of Foreign Languages Lanzhou University of Technology

In the actual fractional order PID control system of microbial fuel cell(MFC),the existence of interference noise seriously affects the control quality of the *** at this problem,a fractional order PID control strategy based on Kalman filter is *** Kalman filter is used to realize the optimal estimation of the state of the MFC system,eliminate uncertain factors such as interference noise,and provide more accurate state information for the fractional order PID controller,thereby improving the performance of the *** simulation results show that,compared with the conventional fractional order PID control,the fractional order PID control based on Kalman filter can effectively compensate the influence of interference on the MFC system,the steady-state accuracy is improved obviously,and the entire control process is smoother,at the same time,the anti-interference ability of the system is improved significantly,which effectively improves the ability of the MFC power generation system to operate stably in a complex environment.

关键词： Microbial fuel cell Fractional order PID control Kalman filter Anti-interference ability

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Output Feedback Based Iterative Learning control with Finite Frequency Range Specifications via a Heuristic Approach for Batch processes with Polytopic Uncertainties ⁎

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IFAC-PapersOnLine 2020年第2期53卷 1397-1402页

作者： Shoulin Hao Tao Liu Wojciech Paszke Hongfeng Tao Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian 116024 China School of Control Science and Engineering Dalian University of Technology Dalian 116024 China Institute of Automation Electronic and Electrical Engineering University of Zielona Góra ul. Szafrana 2 65-516 Zielona Góra Poland Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi 214122 China

For robust control and iterative optimization of industrial batch processes with polytopic uncertainties, this paper proposes a robust output feedback based iterative learning control (ILC) design in terms of finite frequency range stability specifications. Robust stability conditions for the closed-loop ILC system along both time and batch directions are first established based on the generalized Kalman-Yakubovich-Popov lemma and linear repetitive system theory. To facilitate the ILC controller design with respect to process uncertainties described in a polytopic form, extended sufficient conditions for the system stability are then derived in terms of matrix inequalities. Correspondingly, a two-stage heuristic approach is developed to iteratively compute feasible ILC controller gains for implementation. An illustrative example is given to demonstrate the effectiveness of the proposed control design.

关键词： Batch processes polytopic uncertainties output feedback iterative learning control finite frequency range design

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Dual activation pathways based on OH-functionalized alk-Ti 3 C 2 MXene/RuO x boosting the hydrogen generation

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Chinese Chemical Letters 2025年第8期36卷

作者： Chongbei Wu Benzhi Wang Xuan Li Jiaxuan Gu Yihan Wu Zhe Zhao Pengfei Jia Jizhou Jiang Hebei Key Laboratory of Man-machine Environmental Thermal Control Technology and Equipment Hebei Center for Industrial Energy-saving and Pollution Control Research Hebei Vocational University of Technology and Engineering Xingtai 054000 China School of Mechanical Engineering and Institute of Advanced Machinery & Technology Sungkyunkwan University 2066 Seobu-ro Suwon 16419 South Korea School of Material Science and Engineering Key Laboratory of Green Chemical Engineering Process of Ministry of Education Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education Wuhan Institute of Technology Wuhan 430205 China

A meticulous design of the local environment at the interface between active species and the support, aimed at optimizing the adsorption of H 2 O molecules and BH 4 − anion, offers an ideal strategy for enhancing hydrogen generation via NaBH 4 hydrolysis through dual activation pathways. Theoretical predictions based on d-band center analysis and electron transfer calculations suggest that introducing -OH functional groups induce charge redistribution, enhancing charge concentration on alk-Ti 3 C 2 and facilitating the adsorption and activation of dual active species, H 2 O molecules and BH 4 − anion. Inspired by these predictions, the optimized alk-Ti 3 C 2 /RuO x catalyst demonstrates the highest catalytic activity, achieving a hydrogen generation rate (HGR) of 9468 mL min −1  g cat. −1 . Both experimental data and theoretical analyses confirm that the -OH functional groups promote charge enrichment on alk-Ti 3 C 2 , optimizing the adsorption of H 2 O molecules and BH 4 − anion, and reducing the dissociation energy barrier of the *OH H-TS intermediate. This dual activation pathways mechanism lowers the activation energy for NaBH 4 hydrolysis, significantly enhancing the HGR performance. These findings, guided by theoretical insights, establish alk-Ti 3 C 2 /RuO x as an efficient catalyst for NaBH 4 hydrolysis and provide a strong foundation for future hydrogen generation catalyst designs.

关键词： Alk-Ti3C2/RuOx Catalytic mechanism Dual activation pathways NaBH4 hydrolysis Theoretical calculation

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Corrigendum to "Influences of lactic acid bacteria strains on the flavor profiles, metabolites and quality characteristics of red yeast rice produced by solid-state fermentation" [Food Res. Int. 197 (2024) 115172]

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Food research international (Ottawa, Ont.) 2025年 202卷 115730页

作者： Zihan Gong Zhengyan Wu Qi Yang Jun Liu Pengfei Jiao Chenglun Tang Hunan Key Laboratory of Forestry Edible Resources Safety and Processing Hunan Key Laboratory of Grain-oil Deep Process and Quality Control National Engineering Research Center of Rice and Byproduct Deep Processing College of Food Science and Engineering Central South University of Forestry and Technology Changsha Hunan 410004 China. Hunan Key Laboratory of Forestry Edible Resources Safety and Processing Hunan Key Laboratory of Grain-oil Deep Process and Quality Control National Engineering Research Center of Rice and Byproduct Deep Processing College of Food Science and Engineering Central South University of Forestry and Technology Changsha Hunan 410004 China. Electronic address: liujundandy@***. College of Life Science Nanyang Normal University No. 1638 Wolong Road Nanyang Henan 473061 China. Electronic address: jiaopf@***. Nanjing Sheng Ming Yuan Health Technology Co. Ltd. Jiangsu Institute of Industrial Biotechnology Co. Ltd. Nanjing Jiangsu 210061 China.

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Chemical looping based ammonia production--A promising pathway for production of the noncarbon fuel

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Science Bulletin 2022年第20期67卷 2124-2138,M0004页

作者： Qinghua Lai Tianyi Cai Shik Chi Edman Tsang Xia Chen Runping Ye Zhenghe Xu Morris D.Argyle Dong Ding Yongmei Chen Jianji Wang Armistead G.Russell Ye Wu Jian Liu Maohong Fan College of Engineering and Applied Science University of WyomingLaramie WY 82071USA School of Energy and Power Engineering Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Wolfson Catalysis Department of ChemistryUniversity of OxfordOxford Ox13QRUK College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Chemical and Materials Engineering University of AlbertaEdmonton Alberta T6G1H9Canada Department of Chemical Engineering Brigham Young UniversityProvo UT 84602USA Idaho National Laboratory Idaho Falls ID83415USA College of Chemistry Beijing University of Chemical TechnologyBejing 100029China School of Chemistry and Environmental Science Henan Normal UniversityXinxiang 453007China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlanta GA 30332USA MIIT Key Laboratory of Thermal Control of Electronic Equipment School of Power EngineeringNanjing University of Science&TechnologyNanjing 210094China DICP-Surrey Joint Centre for Future Materials Department of Chemical and Process Engineeringand Advanced Technology InstituteUniversity of SurreyGuilford Surrey GU27XH UK

Ammonia, primarily made with Haber-Bosch process developed in 1909 and winning two Nobel prizes, is a promising noncarbon fuel for preventing global warming of 1.5 °C above pre-industrial levels. However,the undesired characteristics of the process, including high carbon footprint, necessitate alternative ammonia synthesis methods, and among them is chemical looping ammonia production(CLAP) that uses nitrogen carrier materials and operates at atmospheric pressure with high product selectivity and energy efficiency. To date, neither a systematic review nor a perspective in nitrogen carriers and CLAP has been reported in the critical area. Thus, this work not only assesses the previous results of CLAP but also provides perspectives towards the future of CLAP. It classifies, characterizes, and holistically analyzes the fundamentally different CLAP pathways and discusses the ways of further improving the CLAP performance with the assistance of plasma technology and artificial intelligence(AI).

关键词： Ammonia synthesis Chemical looping Nitrogen carrier Renewable fuels Energy carrier

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Nonlinear Behavior of Surface Charge Density and Zeta Potential in Microchannel Electrokinetic Flow

SSRN

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SSRN 2023年

作者： Chen, Daming Arancibia-Miranda, Nicolas Escudey, Mauricio Fu, Jiao Lu, Qin Amon, Cristina H. Galatro, Daniela Guzmán, Amador M. Facultad de Ingeniería Departamento de Ingeniería Mecánica Universidad de Santiago de Chile Av. B. O’Higgins 3363 Santiago9170020 Chile Center for the Development of Nanoscience and Nanotechnology CEDENNA Santiago9170124 Chile Facultad de Química y Biología Universidad de Santiago de Chile Av. B. O’Higgins Santiago3363 Chile Xi'an key laboratory of advanced control and intelligent process Xi'an University of Posts and Telecommunications Xi'An710121 China Solar and Thermal Energy Conversion and Storage Device and System Laboratory STECTEC Santiago Chile Escuela de Ingenieria Industrial Facultad de Ingenieria y Ciencias Universidad Diego Portales Ejercito 441 Santiago Chile Department of Mechanical and Industrial Engineering Faculty of Applied Science and Engineering University of Toronto 5 King’s College Road TorontoON Canada Department of Chemical Engineering and Applied Chemistry Faculty of Applied Science and Engineering University of Toronto 200 College Street TorontoON Canada

In this work, a combined numerical and experimental investigation of the surface charge density and zeta potential behavior is investigated for borosilicate immersed in KCl and NaCl electrolytes and for imogolite immersed in KCl, CaCl2, and MgCl2 electrolytes. Simulations and experiments of the electrokinetic flows with electrolyte solutions were performed to accurately determine the electric double layer (EDL), the zeta potential, and the surface charge density at various electrolyte concentrations and pH. The zeta potential was experimentally determined and numerically predicted by solving the coupled governing equations of mass, species, momentum, and electrical field iteratively. The zeta potential for borosilicate develops strong nonlinear behavior with the ion concentration following a power-law. Likewise, the surface charge density obeys a nonlinear behavior, decreasing as the concentration increases. Moreover, for imogolite, both the zeta potential and the surface charge density behave nonlinearly with the pH. The EDL for borosilicate and imogolite becomes thinner as the electrolyte concentration and pH increase;this behavior is caused by increased surface charge density, resulting in the higher attraction of the free charges. The reported nonlinear behavior describes more accurately the interaction of the nanoparticle surface charge with the electrolytes and its effect on the electrolyte transport properties. © 2023, The Authors. All rights reserved.

关键词： Zeta potential

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