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3rd International Symposium on Resource Exploration and Environmental Science, REES 2019

作者： Zhu, Yuxin Wang, Xiaolan Zhang, Lu He, Naixing Key Laboratory of Advanced Industrial Process Control of Gansu Province Lanzhou University of Technology Lanzhou China School of Electrical Engineering and Information Lanzhou University of Technology Lanzhou China Lanzhou New District Municipal Investment Management Co. Ltd. Lanzhou China

In the power flow calculation of AC/DC hybrid distribution network, the loss and capacity of the converter station have a great influence on the power flow calculation, and the AC/DC alternately solves the power flow, which has the disadvantage of poor convergence performance. In this paper, the power flow model of AC/DC hybrid distribution network with VSC is established. The loss mechanism of the converter station is analyzed and the capacity limit of the converter station is fully considered. The sequential power flow algorithm with VSC AC-DC hybrid distribution network is proposed. Its convergence performance is improved. In the improved 33-node AC/DC hybrid power distribution network with multiple types of DG, the correctness, effectiveness and algorithm fastness of the algorithm are verified. © Published under licence by IOP Publishing Ltd.

关键词： Electric load flow

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In situ reconstruction of Au promoted CuOOH/NiOOH for efficient and selective ethylene glycol electrooxidation

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Chemical Engineering Journal 2025年 515卷

作者： Jiang, Wenhan Zhu, Chen Xu, Hao Guan Liu, Ji Kai Wu, Yi Xiao Cao, Shiyu Yuan, Hai Yang Liu, Peng Fei Zhou, Yi State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery East China University of Science and Technology 130 Meilong Road Shanghai200237 China Key Laboratory for Ultrafine Materials of Ministry of Education Shanghai Engineering Research Center of Hierarchical Nanomaterials School of Materials Science and Engineering East China University of Science and Technology Shanghai200237 China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization East China University of Science and Technology 130 Meilong Road Shanghai200237 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

The replacement of water oxidation with thermodynamically favorable nucleophile oxidation reactions, such as the ethylene glycol oxidation reaction (EGOR), offers a promising approach to enhancing hydrogen production at reduced potentials. However, the competitive adsorption of hydroxyl and ethylene glycol molecules, along with side reactions like oxygen evolution, significantly impair the efficiency and selectivity of EGOR. In this work, a hierarchical composite catalyst consisting of Au/CuO on Ni foam, which can be in situ reconstructed into Au/CuOOH/NiOOH is presented. This modified catalyst provided synergistic multi-reactive sites for efficient EG electrooxidation. The resulting Au/CuOOH/NiOOH demonstrated a current density of 175 mA cm−2 at 1.5 V vs. reversible hydrogen electrode (RHE), achieving Faradaic efficiency of 96 % for EGOR and remarkable stability for over 200 h. A range of spectroscopic characterizations, electrochemical investigations, and theoretical calculations revealed that the in situ generated NiOOH served as the site for the adsorption and activation of OH−, CuOOH synergistically activated the EG reactant, while Au promoted catalytic performance by providing additional reactive sites for *OH and EG adsorption. Notably, glyoxal was identified as the special product of EGOR, resulting from the further oxidation of formic acid, which consumed the adsorbed *OH and inhibited additional oxidation of glyoxal. This work clarifies the specific EGOR mechanism on the composite catalyst and offers valuable insights into the design of multi-site synergistic catalytic electrodes. © 2025 Elsevier B.V.

关键词： Thermooxidation

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Optimization of Agrobacterium sp Fermentation process with Improved Bird Swarm Algorithm

Optimization of Agrobacterium sp Fermentation Process with I...

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第30届中国过程控制会议（CPCC 2019）

作者： Yuan Zong Deng-feng Liu Yu-qian Shao Yi-an Liu School of Internet of Things Engineering Jiangnan University Key Laboratory of Industrial Advanced Process Control for Light Industry of Ministry of Education Jiangnan University

To overcome the weakness of slow convergence rate, local optimum and poor overall stability of the Bird Swarm Al gorithm(BSA) in solving high-dimensional nonlinear complex functions, an Improved Bird Swarm Algorithm(IBSA) was dev *** coefficients in the original algorithm were adjusted by a nonlinear function, and the update formula of the bir d position was replaced by the Levi flight formula when the birds maintain vigilance and attempt to move to the center of the p ***, in the optimization process, the BSA was improved by adding chaotic perturbation to the optimal solution a nd using the Simulated Annealing Algorithm(SAA) to re-optimize when the optimal solution of the algorithm remains unchan *** experimental results show that the IBSA is better than the BSA, the Differential Evolution(DE) algorithm and the Par ticle Swarm Optimization(PSO) in terms of convergence speed, optimization precision, and *** IBSA was used to so lve the parameters' values of the fermentation process dynamics model of Agrobacterium ***31749, and compared with the group intelligence algorithms such as BSA, GA, and *** experimental results show that the IBSA has significant ad vantages in optimization accuracy and stability, and the IBSA is more suitable for identifying the parameters of the ATCC31749 fermentation process dynamics model.

关键词： Bird swarm algorithm Fermentation process modeling Nonlinear adjustment Levi Flight Chaos disturbance, Simulated annealing

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Research On Public Building Energy Consumption Prediction Method Based On NAR Neural Network Prediction Technology

Research On Public Building Energy Consumption Prediction Me...

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第四届能源与环境研究进展国际学术会议（ICAEER 2019）

作者： Heng-jie LI Zhen QIAO Wei CHEN Xian-qiang ZENG Long WU College of electrical and information engineering Lanzhou university of technology Key laboratory0 of advanced industrial process control in Gansu province Lanzhou university of technology electrical and control engineering national experimental teaching demonstration center

In order to solve the problem of high energy consumption of public buildings and optimize and improve energy conservation of public buildings, we built a building energy consumption prediction model based on NAR neural network prediction technology improved by BP neural network algorithm, and the energy consumption value is predicted. The large public buildings as the research object, the key factors to determine the effect of building energy consumption and collect the corresponding data processing, as the input parameters of neural network prediction public buildings energy consumption value, according to the actual situation will eventually NAR prediction of neural network and BP network prediction method and the comparative analysis the measured data. The results show that NAR neural network can predict the energy consumption of public buildings more accurately than BP neural network under different building parameters.

关键词： Research On Public Building Energy Consumption Prediction Method Based On NAR Neural Network Prediction Technology NAR

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Batch process monitoring based on WGNPE–GSVDD related and independent variables

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Chinese Journal of Chemical Engineering 2018年第12期26卷 2549-2561页

作者： Yongyong Hui Xiaoqiang Zhao College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of TechnologyLanzhou 730050China National Experimental Teaching Center of Electrical and Control Engineering Lanzhou University of TechnologyLanzhou 730050China

In many batch processes, there are related or independence relationships among process variables. The traditional monitoring method usually carries out a single statistical model according to the related or independent method, and in the feature extraction there is not fully taken into account the characterization of fault information, it will make the process monitoring ineffective, so a fault monitoring method based on WGNPE(weighted global neighborhood preserving embedding)–GSVDD(greedy support vector data description) related and independent variables is proposed. First, mutual information method is used to separate the related variables and independent variables. Secondly, WGNPE method is used to extract the local and global structures of the related variables in batch process and highlight the fault information, GSVDD method is used to extract the process information of the independent variables quickly and effectively. Finally, the statistical monitoring model is established to achieve process monitoring based on WGNPE and GSVDD. The effectiveness of the proposed method was verified by the penicillin fermentation process.

关键词： Batch process Monitoring Related and independent variables Global-local Support vector data description

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Sliding Mode control of Upper Limb Rehabilitation Robot Based on Fuzzy Compensation

Sliding Mode Control of Upper Limb Rehabilitation Robot Base...

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Chinese Automation Congress (CAC)

作者： Jinlei Wang Yafeng Li Aimin An Haochen Zhang Key Laboratory of Gansu Advanced Control for Industrial Processes National Experimental Teaching Center of Electrical and Control Engineering College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China

In order to solve the problem of model nonlinearity and strong external disturbance of rehabilitation robot. This paper presents a sliding mode control algorithm for upper limb rehabilitation robot based on fuzzy compensation. First of all, the upper limb rehabilitation robot dynamics equation modeling is introduced, then, analyses the upper limb rehabilitation robot based on fuzzy compensation the derivation process of the sliding mode control algorithm, and according to the Lyapunov stability criterion, system stability is proved. Finally, the case simulation is carried out on the basis of the existing upper limb rehabilitation robot model, and the simulation results are compared with those of ordinary PD controller. Simulation results show that the control algorithm has better robustness and tracking accuracy when the parameters of the joint robot are uncertain and there are forces and external disturbances imposed by the motion of the patient. The proposed method can meet the training needs of paralyzed patients.

关键词： Rehabilitation robotics Mathematical model Sliding mode control process control Force Robustness

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Iterative Learning control of Exponential Variable Gain Based on Initial State Learning for Upper Limb Rehabilitation Robot

Iterative Learning Control of Exponential Variable Gain Base...

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Chinese Automation Congress (CAC)

作者： Yafeng Li Aimin An Jinlei Wang Haochen Zhang 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

Electrical and control Engineering, Lanzhou, China Trajectory tracking problem for a nonlinear system of upper limb rehabilitation robot over a finite time interval, an exponential variable gain D-type Iterative Learning control (ILC) law with initial variable learning is designed. The method uses closed-loop ILC with exponential variable gain for both the control input and the the initial value of the system. Based on the operator theory, the convergence of the system with arbitrary initial state under the ILC is strictly proved. At the same time, the sufficient conditions for the convergence spectrum radius form of the ILC method are given. Compared with the ILC of fixed gain, the control method not only accelerates the convergence speed, but also solves the problem that the ILC requires strict repetition of the start state. Finally, the control effect of this method is verified by experimental simulation, the application of the control method in trajectory tracking of rehabilitation robot has achieved good control effect..

关键词： Gain Convergence Mathematical model Manipulators Trajectory Rehabilitation robotics process control

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The control System of Friction Welding Machine for 5000kN Large Electrolytic Aluminum Prebaked Anode Conductor

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Journal of Physics: Conference Series 2021年第5期1748卷

作者： Xiaolin Feng Haijie Mao Chaorong Liu Manqiang Liu College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050 China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou 730050 China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou 730050 China

A friction welding machine, which improves the connection performance of two different metals by generating heat of relative movement of friction, could increase the maximum contact area and lower energy and human labor consumption. The machine's control system reaches the manufacturing process's demands with its design and exerts its promising prospects.

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Sequencing of Mixed Model Assembly Lines Based on Improved Shuffled Frog Leaping Algorithm

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Journal of Donghua University(English Edition) 2018年第2期35卷 154-159页

作者： ZHAO Xiaoqiang JI Shurong College of Electrical and Information Engineering Lanzhou University of TechnologyLanzhou 730050China Key Laboratory of Advanced Control of Industrial Process in Gansu Province Lanzhou 730050China National Experimental Teaching Center for Electrical and Control Engineering of Lanzhou University of Technology Lanzhou730050China

Shuffled frog leaping algorithm( SFLA) was used to solve multi-objective sequencing problem of mixed model assembly line( MMAL). Local convergence can be avoided and optimal solution can be obtained to a certain extent. However,the multi-objective sequencing problem of MMAL is an non-deterministic polynomial hard( NP-hard) problem and the shortcomings are slow convergence rate and low precision. To solve the shortcomings for optimization objectives of minimizing total utility time and keeping average consumption rate of parts, a chaos differential evolution SFLA( CDESFLA) is proposed in this study. Because SFLA is easy to fall into local optimum,the evolution operator of differential evolution algorithms is introduced in SFLA as a local search strategy,and differential mutation operator is introduced in chaotic sequence to prevent premature convergence. The examples show that the proposed CDESFLA is better for convergence accuracy than SFLA,genetic algorithm( GA) and particle swarm optimization( PSO)

关键词： mixed model assembly line (MMAL) sequencing shuffledfrog leaping algorithm (SFLA) chaos optimization differentialevolution algorithm

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Magnetic Fe/Carbon/Polymer Composite Hydrogels for Efficient Degradation of Antibiotics in Simulated Wastewater

SSRN

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SSRN 2021年

作者： Liu, Da Gu, Wenyi Zhou, Wenqi He, Wenjia Liu, Lizheng Xu, Ying Zhou, Liang Zhang, Jinlong Liu, Yongdi Lei, Juying National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery East China University of Science and Technology 130 Meilong Road Shanghai200237 China Shanghai Geotechnical Engineering Detecting Centre 522 Huanzhen South Road Shanghai200442 China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization 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 Chemistry and Molecular Engineering East China University of Science and Technology 130 Meilong Road Shanghai200237 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology 130 Meilong Road Shanghai200237 China

Three kinds of hydrogel materials combining MOF-derived magnetic Fe/porous carbon (MagFePC) with sodium alginate (SA), polyacrylic acid (PAA) and agarose (AG) were prepared by different methods for removal of norfloxacin (NOR) antibiotics in simulated wastewater. After comparison, MagFePC/SA hydrogels synthesized by a titration forming method were found to have the advantages of simple preparation, good toughness, abundant pores and high Fenton activity. MagFePC/SA can effectively activate H2O2 to remove NOR under neutral conditions, and there was almost no leaching of iron ions, causing no secondary pollution to the environment. Mechanism study revealed that ·O2- and 1O2 were the main active species for the degradation of NOR pollutants, and cyclic experiments showed the materials still had good degradation ability after repeated cycles indicating good stability and reusability of the materials. More important, we built a simple automated wastewater treatment unit that can completely degrade a 5 mg/L NOR antibiotic solution at a flow rate of 2 mL/min. Current works showed that MagFePC/SA had the advantages of simple synthesis, outstanding degradability, excellent stability and eco-friendly reaction, which was a wastewater treatment material with good prospect for industrial application. © 2021, The Authors. All rights reserved.

关键词： Antibiotics

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