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A novel adaptive fast sliding mode control method based on fuzzy algorithm for the air management system of fuel cell stack

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PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 2024年 187卷 506-517页

作者： Fang, Shiyi Zhang, Rongrong Maltsev, Sergey Chen, Daifen Fan, Xinyu Levtsev, Aleksey Jiangsu Univ Sci & Technol Sch Energy & Power Zhenjiang 212100 Peoples R China Natl Res Ogarev Mordovia State Univ Saransk 430005 Russia

Proton exchange membrane fuel cells (PEMFCs) offer advantages, such as, cleanliness, high efficiency, and environmental friendliness. To achieve optimal control of the PEMFC stack's air supply and management system under complex operating conditions, a novel non-singular terminal sliding mode controller based on fuzzy algorithm is proposed. Compared with the conventional sliding mode control, the terminal sliding mode control exhibits further performance improvements. However, it still has limitations. The proposed innovative sliding mode structure would ensure finite-time convergence and avoid the issue of singularity associated with terminal sliding mode control. Moreover, fuzzy logic makes sliding mode gain adapt to the system and further enhances the performance and stability, which is benefited from a stronger sliding surface. Results indicate that, compared with the other controllers, the designed controller could reduce delay further and provide faster response to sudden changes. The overshoot of sliding surface has decreased by 70% compared to its previous level. This novel control approach significantly enhances the efficiency and reliability of the PEMFC system.

关键词： Fuel cell stack Sliding mode control fuzzy algorithm Decarbonized power system Hydrogen energy Oxygen excess ratio

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Active Speed Control of Belt Conveyor with Variable Speed Interval Based on fuzzy algorithm

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2024年第3期19卷 1499-1513页

作者： Zhou, Qixun Gong, Hao Sun, Wenhao Yan, Qi Shi, Keke Du, Guanghui Xian Univ Sci & Technol Dept Elect & Control Engn Xian Peoples R China

Aiming at the problems of too fast adjustment frequency, unstable material filling rate and fluctuation of material flow at the boundary of speed interval caused by unreasonable setting of speed interval in traditional active speed control strategy based on hierarchical speed regulation. An active speed control strategy based on fuzzy algorithm is proposed for belt conveyor. The material filling rate of the belt is taken as input, and the double-layer fuzzy boundary is set according to the expected value of the material filling rate to adjust the speed of the belt conveyor. The adjustment time of different speed intervals is given according to the estimation-calculation-optimization method. The simulation results of the double belt conveyor system show that compared with the active speed control strategy based on hierarchical speed regulation, the active speed control strategy can not only stabilize the material filling rate of the downstream belt conveyor near the expected value and improve the stability of transportation, but also reduce the energy by about 20.69% per hour on average. The subsequent experimental results also verify the effectiveness of the proposed active speed control strategy, which can achieve more sustainable operation of the belt conveyor.

关键词： Belt conveyer Active speed control fuzzy algorithm Sustainable operation

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Optimization of Control Strategy for Fuel Cell Vehicles by Integrating fuzzy algorithm

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IEEE ACCESS 2024年 12卷 141952-141965页

作者： Wu, Qiong Chen, Hua Liu, Baolong Xian Technol Univ Sch Mechatron Engn Xian 710021 Peoples R China

Fuel cell vehicles have rapidly occupied the market with advantages such as environmental protection and energy conservation. However, their battery technology is insufficient and their endurance is poor, making them unsuitable for use over long distances. To address the aforementioned issues, a fuel cell vehicle energy storage system based on super-capacitors was constructed. Meanwhile, a proportional integral derivative controller based on fuzzy algorithms was established. Finally, the particle swarm optimization algorithm was used to optimize the fuzzy control strategy that integrated the fuzzy algorithm. When using the optimized fuzzy control strategy for simulation, the peak power of the fuel cell output power was reduced from 3.8kW to 2.0kW. The remaining power of the super-capacitor remained stable within a reasonable range throughout the entire operating condition. Under the new European urban road cycle, the optimized control strategy improved energy recovery performance by 4.3% and reduced hydrogen consumption by 0.9964%. Under the United States federal environmental protection agency standardized urban cycle conditions, the optimized control strategy improved the braking energy recovery efficiency index and effective braking energy recovery efficiency by 8.9% and 6.3%, respectively. The percentage reduction in hydrogen consumption was 0.9433%. Therefore, this research method can effectively reduce hydrogen consumption and improve the product economy and market competitiveness of enterprises.

关键词： Batteries Fuel cells Energy storage Mathematical models Supercapacitors Fuel cell vehicles Hydrogen Voltage Periodic structures Optimization Environmental monitoring fuzzy algorithm fuel cell vehicles optimization of control strategy particle swarm optimization algorithm super-capacitor

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MOOC online English teaching quality evaluation method based on fuzzy algorithm

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INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING 2024年第2-3期34卷 155页

作者： Wei, Feng Yongcheng Vocat Coll Yongcheng 476600 Henan Province Peoples R China

In order to overcome the problems of low accuracy and long evaluation time of MOOC online English teaching quality evaluation, this paper proposes a MOOC online English teaching quality evaluation method based on fuzzy algorithm. Firstly, the mean method is used to calculate the cluster centre of MOOC online English teaching quality evaluation samples and the evaluation sample selection is realised by outlier detection. Secondly, the 1-9 scale method is used to compare the importance of English teaching quality evaluation indicators, so as to realise the stratification of importance level. The fuzzy discrimination matrix is constructed and the weight vector of the judgement matrix is calculated. Finally, the MOOC online English teaching quality evaluation is realised by fuzzy algorithm. The experimental results show that the accuracy of this method is 98.16%, and the evaluation time is only 1.5 min.

关键词： variance measure fuzzy algorithm 1-9 scale method fuzzy discriminant matrix outlier detection

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Control strategy based on improved fuzzy algorithm for energy control of wrist rehabilitation robot

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ALEXANDRIA ENGINEERING JOURNAL 2023年 77卷 634-644页

作者： Ren, Hao Zhang, Haimin Xinxiang Med Univ Coll Phys Educ Xinxiang 453003 Henan Peoples R China Henan Inst Sci & Technol Xinxiang 453000 Henan Peoples R China

With the complex changes in social and demographic structure, the problem of aging is becoming increasingly serious, and the demand for equipment in the field of medical rehabilitation is also increasing. Given the above situation, various countries have proposed using rehabilitation robots to assist patients in treatment, and have achieved certain results. The rehabilitation robot helps the injured area gradually recover autonomous movement through repeated auxiliary actions, thereby achieving the goal of physical rehabilitation training. However, most robot configurations face insufficient energy and power, as well as bulky and inflexible equipment. Based on the above issues, this article adopts an improved fuzzy algorithm control strategy to optimize the energy storage device and applies the energy system to the wrist rehabilitation training robot device. Firstly, a fuzzy adaptive algorithm is added to the traditional energy controller to combine system control with operational status, achieving precise control and dynamic adjustment of energy allocation. The research has added filter optimization design, which improves the accuracy and effectiveness of fuzzy algorithms. Finally, this article establishes an upper limb motion model of the rehabilitation robot and configures relevant hardware systems. At the same time, this article also uses manufacturing materials that meet functional requirements to construct auxiliary equipment. The results indicate that the improved fuzzy algorithm can improve the auxiliary effect in energy control of wrist rehabilitation robots. It has obvious advantages in the process of wrist rehabilitation training.

关键词： Rehabilitation robot Rehabilitation training fuzzy algorithm Control strategy Energy control

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RETRACTED: Curative effect of pop light music on depression patients based on improved fuzzy algorithm (Retracted Article)

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JOURNAL OF INTELLIGENT & fuzzy SYSTEMS 2022年第4期43卷 4351-4362页

作者： Li, Hao Minjiang Univ Coll Humanities Fuzhou 350108 Peoples R China

With the aggravation of many social psychological and psychological stress factors, the high incidence rate of depression and depression has become a major problem which puzzles people's health and even endangers life. Non drug therapy has become an effective alternative to drug therapy, which is in line with the new trend of natural medicine in the world. This paper will use the real world research method (RWS) to conduct a clinical trial of pop light music in the treatment of depression. Based on the fuzzy algorithm, a comprehensive evaluation system for the treatment of depression was established. By comparing and analyzing the main efficacy indexes between music group and traditional medicine group, we found that the cure rate, clinical control rate, significant efficiency, effective rate and ineffective rate of music therapy group were significantly better than those of drug group. Through the analysis of seven factors of HAMD (Hamilton Depression Scale) scale, we found that pop light music can improve the sleep status and physical symptoms of patients, and the improvement degree of music therapy is significantly better than that of drug therapy.

关键词： Cure rate depression fuzzy algorithm HAMD scale pop light music

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Analysis and Research of Digital Image Processing Technology Based on fuzzy algorithm 1st

Analysis and Research of Digital Image Processing Technology...

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World Conference on Intelligent and 3-D Technologies (WCI3DT)

作者： Wang, Ruoyan Zhongnan Univ Econ & Law Zhongnan Peoples R China

ISBN: (纸本)9789811971860;9789811971846;9789811971839

As the main content of digital image processing technology, image segmentation plays a positive role in robot vision, imaging target recognition and tracking, image understanding, and so on. Image filtering recovery technology is the main link of digital image preprocessing, and the quality of actual operation determines the accuracy of filtering segmentation. In the process of image formation, it is difficult for people to quickly understand the main situation of information loss during imaging, resulting in ambiguity and similarity in image processing. fuzzy information processing technology based on fuzzy set theory shows unique advantages in dealing with imprecise knowledge description and fuzzy uncertain events, so this paper mainly discusses how to use fuzzy information processing technology to improve image filtering algorithm and segmentation algorithm. According to the histogram exponential smoothing principle and peak point detection principle, a new image segmentation algorithm is constructed, and the final practice results show that this content can obtain the best segmentation threshold value in meticulous segmentation.

关键词： fuzzy algorithm Digital image processing technology Image segmentation Histogram exponential smoothing Peak detection

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fuzzy algorithm-based active control method for vibration of a mechanical gear transmission system

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JOURNAL OF VIBROENGINEERING 2024年第4期26卷 843-858页

作者： Li, Yang Wang, Guangzheng Wang, Shaozhu Tan, Hui Yang, Fazhan Qingdao Univ Technol Linyi Dept Mech & Elect Engn Linyi 273400 Peoples R China Qingdao Univ Technol Sch Mech & Automot Engn Qingdao 266520 Peoples R China

The detached raft automatic frequency isolation system is a complicated system with high exceptionally nonlinear, high electromagnetic, and multi -source vibration modes. However, it generates a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as an astute control method, can give a keen path to the active management of a complicated system of floating rafts. This study uses a system identification approach to construct mathematical models for a floating raft active vibration isolation system with discrete transfer work. The fuzzy model is used in tests and simulations controller is built using two contributions of acceleration and its variation, as well as a single result of control voltage. The control isolation system is a complicated system with many moving parts. A lot of moving parts profoundly nonlinear, high electromagnetic and multi -source vibration modes, generating a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as a smart control method, can give a keen path to the active management of a sophisticated floating raft system. This research uses an identification strategy to construct a floating raft active vibration isolation technology discrete transfer work mathematical models. The fuzzy controller is then put together using two contributions: acceleration and variation, as well as a single outcome of control voltage for simulations and experiments research.

关键词： fuzzy algorithm active control method vibration of a mechanical gear transmission system shaft automatic frequency experiments research simulations

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Regional flow control in peak travel period based on fuzzy algorithm

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2022年 126卷 279-283页

作者： Jiang, Chunhong Ren, Guanghao Jilin Engn Normal Univ Coll Businesss Adm Jilin 130052 Jilin Peoples R China Sehan Univ Dept Business Sci Mokpo 58447 South Korea

The existing methods cannot accurately output the state of traffic lights at multi moments, which leads to a long average waiting time and a large number of stops in the peak travel period. Therefore, a regional flow control method of peak travel period based on fuzzy algorithm is proposed. Firstly, the multi-scale prediction method was used to predict the flow in peak travel period. Then, a two-level fuzzy controller for the regional coordination of peak travel period was constructed, and the traffic flow information between adjacent intersections and the predicted remaining time period were set as the input of the fuzzy controller. Next, the two-level controller was used to output the green light phase of the next moment, so as to adjust the traffic flow and integration degree between the upstream and downstream of the adjacent intersections in the control sub-region of the peak travel period. Finally, the regional coordinated control of the flow in the peak travel period was realized. The simulation results showed that the proposed method could comprehensively reduce the average waiting time, average driving time, average number of stops and intersection saturation, and better realize the flow control during peak travel period. (C) 2021 Elsevier B.V. All rights reserved.

关键词： fuzzy algorithm Peak travel period Regional flow control fuzzy controller

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Research on Artificial Intelligence Machine Translation Based on fuzzy algorithm

Research on Artificial Intelligence Machine Translation Base...

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2023 International Conference on Integrated Intelligence and Communication Systems, ICIICS 2023

作者： Dong, Xinrong Sun, Xiyang Cui, Qiang Dalian University of Science and Technology Department of Foreign Languages Dalian China

ISBN: (纸本)9798350315455

In the technical field, achieving semantics for AI machine translation is a challenge that must be overcome. The model uses rule reasoning in natural language processing for deep understanding, and combines machine learning theory to optimize model parameters, so as to achieve the purpose of improving translation accuracy. After experimental verification, the model proposed in this paper shows a high accuracy rate of more than 90% when translating different translations;in addition, compared with DocNMT and SENTNMT, two common artificial intelligence machine translation models, the model proposed in this paper shows higher accuracy in machine translation, up to 97%, far exceeding them. At the same time, the model also has a certain degree of fault tolerance, which can ensure the stability and reliability of the machine translation system. Therefore, using the method proposed in this paper, the quality level of machine translation can be significantly improved. © 2023 IEEE.

关键词： artificial intelligence fuzzy algorithm machine translation semantic problem

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