- Microbial Fuel Cells and Bioremediation
- Sensorless Control of Electric Motors
- Supercapacitor Materials and Fabrication
- Fuel Cells and Related Materials
- Adaptive Control of Nonlinear Systems
- Electrochemical sensors and biosensors
- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Electrocatalysts for Energy Conversion
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Advanced Control Systems Optimization
- Advanced battery technologies research
- Iterative Learning Control Systems
- Smart Grid and Power Systems
- Advanced DC-DC Converters
- Neural Networks and Applications
- Water Quality Monitoring and Analysis
- Control and Dynamics of Mobile Robots
- Power Systems and Renewable Energy
- Water Quality Monitoring Technologies
- Fuzzy Logic and Control Systems
- Wastewater Treatment and Nitrogen Removal
- Advanced Computational Techniques and Applications
- Magnetic Bearings and Levitation Dynamics
Second Hospital of Yichang
2024-2025
Shenyang University of Chemical Technology
2012-2024
Shanghai Electric (China)
2024
China Three Gorges University
2008-2024
China Earthquake Administration
2024
National Yunlin University of Science and Technology
2023
Fujian Medical University
2022
Union Hospital
2022
Fuzhou University
2014
Shanghai Jiao Tong University
2012
Fault arcs exhibit randomness, with current waveforms closely mirroring those of standard nonlinear load operations, posing challenges for traditional series fault arc detection methods. This study presents an improved approach using a lightweight convolutional neural network model, ShuffleNet V2. Current data from household loads were collected and preprocessed to establish comprehensive database, leveraging one-dimensional convolution channel attention mechanisms precise analysis....
Low power production and unstable supply are important bottlenecks restricting the application of microbial fuel cells (MFCs). It is necessary to explore effective methods improve MFC performance. By using molasses wastewater as fuel, carbon felt an electrode, mixture K3[Fe(CN)6] NaCl a catholyte, experimental system was set up study performance MFCs with three different proton exchange membranes. A Nafion membrane used basic material, polyvinylidene fluoride (PVDF) acetone-modified PVDF...
Microbial fuel cell is a bio-electrochemical system that drives current by using bacteria and mimicking bacterial interactions found in nature. The electricigens its activity have important influence on the power generation capacity organic matter degradation ability of MFC system. common types their application situation microbial are summarized this paper, basic characteristics electron transfer mechanism some major microorganisms described, so as to provide ideas for electricigens'...
Microbial fuel cells (MFCs) have been receiving more and attention in simultaneous treatment of wastewater energy recovery. Past research has mainly experiments. Modelling controlling are new subjects emerging recently. A novel dynamic model MFC based on biochemical reactions, Butler–Volmer expressions mass/charge balances is proposed with Matlab/Simulink, then the fuzzy PID controller designed for microbial cell to realize constant voltage output. Simulation results show that can give...
Microbial fuel cell is a kind of promising new source green energy. Because its complicated reaction mechanism and inherent characteristics time-varying, uncertainty, strong-coupling nonlinearity, there are complex control challenges in modelling microbial cells. This paper studies on performance improvement cells by the approach model predictive control. A numerical simulation platform for established, traditional controller designed MFC first; then controllers which use Laguerre function...
In this paper, the layer-by-layer assembled polydimethyl diallyl ammonium chloride (PDADMAC), poly sodium-p-styrene sulfonate (PSS) and α-Fe2O3 modified carbon cloth (CC), nitric acid activated CC, blank CC were used as anodes in two-chamber microbial fuel cell (MFC) for dealing with food wastewater. The electricity production of increased dramatically after modification anode. When four double layers PDADMAC PSS one layer was on (CC/(PDADMAC/PSS)4/α-Fe2O3), highest current 0.48 mA power...
Inverted pendulum system is a typical rapid, multivariable, nonlinear, absolute instability and non-minimum phase system, it favorite problem in the field of control theory application. In its control, current main method includes fuzzy variable structure robust etc. For double inverted pendulum, research focused on how to solve "rule explosion" problem. The model characteristics are detailed analyzed; status fusion function designed using information fusion. By it, output variables with six...
Anode modification is a useful method to increase the performance of microbial fuel cells (MFCs). By using electrochemical deposition method, Fe3O4 and polypyrrole (PPy) were polymerized on carbon felt anode prepare Fe3O4-PPy composite modified anodes. In order ascertain effect electrodeposition time characteristics electrode, preparation electrode was adjusted. The anodes used in MFCs, their performances evaluated by analyzing electricity generation sewage treatment capacity MFCs....
The main drive system used for four-high mill is usually a double closed-loop DC motor speed regulating system. Generally, the controller and current are proportional-integral-derivative (PID) controllers. parameters of these controllers determined by engineering design method constant in whole process. So can give good control effect rated operating condition. Once disturbance occurs, effects often just passable. In this paper, fuzzy logic to adjust PID improve rejection ability. Simulation...
An experimental system consisting of a dual chamber microbial fuel cell was constructed using simulated molasses wastewater as the inoculum and anode substrate, carbon cloth or felt cathode base, MnO 2 oxygen reduction catalyst for cathode.By testing analyzing output voltage, power density, COD removal rate cell, effects -modified on generation treatment cells were studied.The steady density with 6.8 10.33 mW/m , respectively, before after modification by that is, increased 51.91% more than...
With rising global environmental concerns, businesses are prioritizing preservation alongside economic growth. This research investigates the influence of leadership on corporate green culture, management, strategic social responsibility (CSR), and behavior. Surveying high-tech industry professionals in southern Taiwan, study obtained 479 out 600 questionnaires that were valid, yielding an 80% response rate. Key findings include following. (1) Environmental positively impacts CSR, (2) Green...
The wastewater treatment process is a kind of complex large-scale system, and also an energy intensive process. For the urban plan, about 50 to 70 percent total power consumed in aeration stage, meanwhile actual control method for usual simple crude. So it possible reduce running cost entire system effectively by using more accuracy method. A fuzzy logic plant was presented this paper. It can regulating oxygen transmission coefficient according dissolved index. Simulation results show its validity.
The inherent characteristics of the DC-DC convertors, such as high nonlinearity and time-variation, often result in some difficulties designing control approaches. Adaptive backstepping sliding mode method terminal are combined this paper to propose a new kind adaptive based for convertor improve effect. can not only make system adapt uncertainty factors, but also enable reach steady state within limited time. Simulation results show superiority combination approach.
Proton exchange membrane is an important factor affecting the power generation capacity and water purification effect of microbial fuel cells. The performance cells can be improved by modifying proton some suitable method. Microbial with membranes modified SiO2/PVDF (polyvinylidene difluoride), sulfonated PVDF polymerized MMA (methyl methacrylate) electrolyte were tested their compared. experimental results show that three modification methods improve to extent. Among them, cell showed best...
Linear motors have some inherent nonlinear factors, and these factors make it a challenging task to control the linear motor motion system precisely. Iterative learning can construct current input with help of historical information, does not depend on detailed model controlled system. Based thought iterative PID control, an controller incorporated was designed applied systems. used as feedback stabilize system, ILC feedforward improve precision. Simulation results show that high performance...
In view of the operation characters permanent magnet synchronous motor (PMSM) for hybrid electric vehicle (HEV) application, efficiency optimization control strategy is needed to meet demand rapidity. An optimized vector scheme presented in this paper. The initial value d-axis current can be achieved any constant speed and torque operating point by loss model, through gradient search technique golden section technique. Results experiments are provided demonstrate effectiveness proposed method.
Proton exchange membrane fuel cells have been receiving more and attention these recent years. Maintaining a cell system in correct operating conditions requires good control. Based on the mathematical model of proton described this paper, fuzzy logic controllers was designed for to make it possible output constant voltage. Simulation results show that proposed can give control effects. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.847
Water environment pollution has become a major environmental problem recently. It is an urgent task for mankind to improve the wastewater treatment efficiency. Using optimization control technology processes can help reduce operating cost, increase rate, and therefore water quality. Pattern recognition used in this paper process of biological nitrogen phosphorus removal SBR. In way duration each reaction phase limited time exactly necessary actual loading conditions. Simulation results show...
As one of the promising renewable energy sources, proton exchange membrane fuel cell (PEMFC) has received more and attentions in recent years.Performance improvement is necessary for popularization application PEMFC.A model predictive controller based on receding horizon control approach designed PEMFC.Hydrogen pressure oxygen are chosen as variables respectively, main objective to keep output voltage constant.Simulation results show that MPC can give a satisfactory effect.