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学者姓名：范晋伟
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Abstract ：
The efficiency of standalone photovoltaic (PV) systems heavily relies on the effectiveness of their maximum power point tracking (MPPT) controller. This study aims to improve the operational efficiency and reliability of standalone PV systems by introducing a novel control scheme, the Immersion and Invariance Neural Network (II-NN). This innovative system integrates a nonlinear estimator of solar irradiance with a neural network (NN) model, eliminating the need for direct irradiance measurements and associated costly sensors. The proposed methodology uses the Immersion and Invariance algorithm to design a nonlinear estimator that leverages the real-time measurements of PV current and voltage to estimate the incident irradiance. The NN then processes this estimated irradiance to determine the MPP voltage accurately. A robust nonlinear controller ensures the PV system operates at the MPP. This approach stands out by managing the nonlinearities, parametric uncertainties, and dynamic variations in PV systems without relying on direct irradiance measurements. The II-NN system was rigorously tested and validated under real climatic conditions, providing a realistic performance assessment. The principal results show that the II-NN system achieves a mean error of 0.0183V and a mean absolute percentage error of 0.3913%, with an overall MPPT efficiency of up to 99.84%. Comparisons with the existing methods, including perturb and observe, incremental conductance, and three other recent algorithms, reveal that the II-NN system outperforms these alternatives. The major conclusion is that the II-NN algorithm significantly enhances the operational efficiency of PV systems while simplifying their implementation, making them more cost-effective and accessible. This study substantially contributes to PV system control by advancing a robust, intelligent, and sensorless MPPT control scheme that maintains high performance even under varying and unpredictable climatic conditions.
Keyword ：
photovoltaic (PV) photovoltaic (PV) immersion and invariance neural network (II-NN) immersion and invariance neural network (II-NN) sensorless intelligent control sensorless intelligent control maximum power point tracking (MPPT) maximum power point tracking (MPPT)
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| GB/T 7714 | Sun, Jialan , Fan, Jinwei . Experimental Assessment of a Novel Irradiance Sensorless Intelligent Control Scheme for a Standalone Photovoltaic System under Real Climatic Conditions [J]. | ENERGIES , 2024 , 17 (18) . |
| MLA | Sun, Jialan 等. "Experimental Assessment of a Novel Irradiance Sensorless Intelligent Control Scheme for a Standalone Photovoltaic System under Real Climatic Conditions" . | ENERGIES 17 . 18 (2024) . |
| APA | Sun, Jialan , Fan, Jinwei . Experimental Assessment of a Novel Irradiance Sensorless Intelligent Control Scheme for a Standalone Photovoltaic System under Real Climatic Conditions . | ENERGIES , 2024 , 17 (18) . |
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Abstract ：
激光具备优异的相干性、方向性和高能量，被广泛应用于激光通信、激光制导、高能武器和精密加工等领域。然而，激光器本身和外部环境等因素会造成光束指向不稳定，严重降低了通信、制导和加工的精度。因此，构建了一种基于快速反射镜的光束指向性偏差矫正系统，并对光束指向性偏差矫正过程进行建模。重点构建了由位置敏感探测器的位置偏差信号到快速反射镜的矫正角度的控制模型。建立的控制模型可以实现对光束指向性偏差的检测和预测，并调整快速反射镜的姿态，以矫正光束指向性偏差，提高光束指向稳定性。通过实验验证了构建的系统和模型的性能。结果表明，依据构建的系统和模型校正后的光束在X方向和Y方向上的指向性偏差分别减少了78.08%和70.28%，光束指向稳定性显著提升。
Keyword ：
激光束传输 激光束传输 快速反射镜 快速反射镜 光学设计 光学设计 位置敏感探测器 位置敏感探测器 光路建模 光路建模 光束指向性偏差 光束指向性偏差
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| GB/T 7714 | 任行飞 , 范晋伟 , 潘日 et al. 基于快速反射镜的光束指向性偏差矫正系统 [J]. | 中国激光 , 2023 , 50 (14) : 158-167 . |
| MLA | 任行飞 et al. "基于快速反射镜的光束指向性偏差矫正系统" . | 中国激光 50 . 14 (2023) : 158-167 . |
| APA | 任行飞 , 范晋伟 , 潘日 , 孙锟 . 基于快速反射镜的光束指向性偏差矫正系统 . | 中国激光 , 2023 , 50 (14) , 158-167 . |
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Abstract ：
PurposeThe accuracy of the machining process is significantly impacted by the performance of hydrostatic bearings. This paper aims to analyze the influence of micro-textured on the performance of the hydrostatic bearing, and the performance of the bearing is improved by designing the arrangement of micro-textured. Design/methodology/approachDifferent designs have been used while creating micro-textured bearings. The finite element models of bearing with smooth and micro-textured were established and solved using the computational fluid dynamics method. The arrangement scheme of the micro-textured was evaluated by comparing the influence of the distribution position and arrangement of the micro-textured on the bearing performance. FindingsTo improve the performance of the bearing, the bearing capacity was significantly increased, and the friction coefficient of the bearing was decreased when the micro-textured was distributed in the form of an obtuse angle arrangement in the maximum pressure area of the bearing. The experimental findings validate the analysis method. Originality/valueIn this paper, the effect of irregularly arranged micro-textured on bearing performance is investigated to improve the bearing capacity and lubrication status.
Keyword ：
Hydrostatic bearing Hydrostatic bearing Distribution position Distribution position Arrangement Arrangement Bearing capacity Bearing capacity Micro-textured Micro-textured
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| GB/T 7714 | Chen, Dongju , Sun, Yueqiang , Zhao, You et al. Influence of the distribution position and arrangement of micro-textured on the performance of the hydrostatic bearing [J]. | INDUSTRIAL LUBRICATION AND TRIBOLOGY , 2023 , 75 (6) : 721-728 . |
| MLA | Chen, Dongju et al. "Influence of the distribution position and arrangement of micro-textured on the performance of the hydrostatic bearing" . | INDUSTRIAL LUBRICATION AND TRIBOLOGY 75 . 6 (2023) : 721-728 . |
| APA | Chen, Dongju , Sun, Yueqiang , Zhao, You , Sun, Kun , Fan, Jinwei . Influence of the distribution position and arrangement of micro-textured on the performance of the hydrostatic bearing . | INDUSTRIAL LUBRICATION AND TRIBOLOGY , 2023 , 75 (6) , 721-728 . |
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Abstract ：
The machining precision of grinding machine determines the precision of parts. To improve the machining accuracy, an effective geometric error modeling and compensation method was proposed. Firstly, the comprehensive error model of grinding machine was established based on differential theory. In contrast to the multi-body system theory, the proposed modeling method can simplify the calculation process and reflect the influence of each component on the tool. Secondly, MATLAB curve fitting tool was used to fit the known error function, and a link between 24 basic geometric error terms (BGETs) and milling instructions was discovered using the sum of sine function. Finally, the compensation dosage (dx dz db dc) for the grinding machine comprehensive error was determined by combining 24 fitting functions, the known error, the differential matrix of each part, and the Jacobian matrix. To test the feasibility of the above method, the grinding machine geometric error compensation experiment was conducted. The average machining accuracy is increased by 15.948%. It is showed that the proposed method can realize the error compensation of CNC grinding machine well.
Keyword ：
Geometric error compensation Geometric error compensation Differential matrix Differential matrix Jacobian matrix Jacobian matrix Comprehensive error model Comprehensive error model
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| GB/T 7714 | Fan, Jinwei , Ye, Qian . Research on geometric error modeling and compensation method of CNC precision cylindrical grinding machine based on differential motion theory and Jacobian matrix [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 120 (3-4) : 1805-1819 . |
| MLA | Fan, Jinwei et al. "Research on geometric error modeling and compensation method of CNC precision cylindrical grinding machine based on differential motion theory and Jacobian matrix" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 120 . 3-4 (2022) : 1805-1819 . |
| APA | Fan, Jinwei , Ye, Qian . Research on geometric error modeling and compensation method of CNC precision cylindrical grinding machine based on differential motion theory and Jacobian matrix . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 120 (3-4) , 1805-1819 . |
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Abstract ：
This paper proposes a new geometric error compensation algorithm for the five-axis machine tools. Firstly, the general machining error model of five-axis machine tool is established based on multi-body theory (MBS) and homogeneous transmission matrix (HTM). Secondly, considering deviation of tool setting point, the initial NC code of each axis is calculated. Thirdly, based on the initial NC code, a geometric error compensation is developed by the present improved particle swarm optimization (IPSO) to seek the optimal NC code. In this model, the tool pose and the volume error are regarded as particles and optimal object, respectively. According to the objective function, the optimal particles are selected in a given interval to reduce the volume error of machine tool. Finally, an experiment is implemented by the S-shaped test to verify the effectiveness of this method. Compared with linear interpolation (LI) compensation, the comprehensive machining accuracy based on PSO method has improved by 17.5%, and the maximum machining error has reduced by 0.0058 mm.
Keyword ：
Particle swarm optimization Particle swarm optimization Compensation Compensation NC code NC code Five-axis machine tools Five-axis machine tools Geometric error Geometric error
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| GB/T 7714 | Wang, Peitong , Fan, Jinwei , Ren, Xingfei . A novel geometric error compensation approach for five-axis machine tools [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 124 (7-8) : 2877-2889 . |
| MLA | Wang, Peitong et al. "A novel geometric error compensation approach for five-axis machine tools" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 124 . 7-8 (2022) : 2877-2889 . |
| APA | Wang, Peitong , Fan, Jinwei , Ren, Xingfei . A novel geometric error compensation approach for five-axis machine tools . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 124 (7-8) , 2877-2889 . |
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Abstract ：
As an advanced finishing technology, magnetic compound fluid finishing (MCFF) is considered capable of achieving damage-free finishing of low-hardness materials such as copper alloys with appropriate finishing parameters. However, ignoring the influence of the material removal amount on the dimensional accuracy while optimizing finishing parameters may result in excessive material removal and a reduction in the workpiece's dimensional accuracy. Thus, a novel finishing parameter optimization method considering dimensional accuracy is proposed in this paper. Firstly, the MCFF experiments are planned and carried out for modeling. Secondly, an MCFF model is established based on the integrated learning theory. The established model, with a prediction layer and a fusion layer, is a multi-layer neural network fusion model which can accurately predict the polished surface quality and material removal amount. Thirdly, the finishing parameters are optimized by the multi-objective particle swarm optimization algorithm, taking the effect of material removal on dimensional accuracy into account. Finally, the model's prediction accuracy and the superiority of the optimized parameters are verified through experiments. The results demonstrate that the developed model can predict the finishing effect correctly, and a workpiece with high-quality polished surfaces and high dimensional accuracy can be obtained with the optimized finishing parameters.
Keyword ：
Neural network Neural network Dimensional accuracy Dimensional accuracy Surface roughness Surface roughness Finishing parameters Finishing parameters Magnetic compound fluid finishing Magnetic compound fluid finishing
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| GB/T 7714 | Fan, Jinwei , Ren, Xingfei , Pan, Ri et al. Optimization of finishing parameters for magnetic compound fluid finishing (MCFF) of copper alloy [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 121 (3-4) : 2181-2195 . |
| MLA | Fan, Jinwei et al. "Optimization of finishing parameters for magnetic compound fluid finishing (MCFF) of copper alloy" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 121 . 3-4 (2022) : 2181-2195 . |
| APA | Fan, Jinwei , Ren, Xingfei , Pan, Ri , Wang, Peitong , Tao, Haohao . Optimization of finishing parameters for magnetic compound fluid finishing (MCFF) of copper alloy . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 121 (3-4) , 2181-2195 . |
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Abstract ：
In the magnetic composite fluid (MCF) polishing process, appropriate polishing parameters are the basis of achieving high-quality polishing without damage. Appropriate polishing parameters are mainly based on an accurate polishing model and an excellent polishing parameters optimization algorithm. However, due to the complicated principle of MCF polishing and various influencing elements, traditional modeling methods have the limitations of low accuracy, poor application, and difficulty in correcting. Therefore, it is challenging to obtain the optimal polishing quality by optimizing the polishing parameters based on the traditional model. This study proposed an online modeling approach considering data cleaning based on machine learning modeling, and the particle swarm optimization (PSO) algorithm was used to optimize polishing parameters. Then, copper polishing experiments were carried out to validate the modeling and optimization methods. The results demonstrate that the proposed machine learning online modeling method can establish an accurate MCF polishing model, and the nano-scale fine polishing of copper can be achieved by the optimized polishing parameters of PSO, and the surface roughness of the copper sample was reduced by 85% to 0.031 mu m.
Keyword ：
Polishing parameters Polishing parameters Surface roughness Surface roughness Magnetic composite fluid polishing Magnetic composite fluid polishing Particle swarm optimization algorithm Particle swarm optimization algorithm
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| GB/T 7714 | Fan, Jinwei , Ren, Xingfei , Pan, Ri et al. Model and Optimize the Magnetic Composite Fluid (MCF) Polishing Process with Machine Learning Modeling and Intelligent Optimization Algorithm [J]. | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2022 , 23 (9) : 957-967 . |
| MLA | Fan, Jinwei et al. "Model and Optimize the Magnetic Composite Fluid (MCF) Polishing Process with Machine Learning Modeling and Intelligent Optimization Algorithm" . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 23 . 9 (2022) : 957-967 . |
| APA | Fan, Jinwei , Ren, Xingfei , Pan, Ri , Wang, Peitong , Tao, Haohao . Model and Optimize the Magnetic Composite Fluid (MCF) Polishing Process with Machine Learning Modeling and Intelligent Optimization Algorithm . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2022 , 23 (9) , 957-967 . |
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Abstract ：
Carbon fiber reinforced polymer (CFRP) has the advantages of light weight and high strength, it is one of the main materials for the development of lightweight manufacturing industry. However, conventional machining methods involve high cost and low efficiency, restricting development. Laser machining is an ideal method to process CFRP by the interaction between laser and materials. In this paper, the relationship between laser power, laser frequency, scanning speed and the width of heat affected zone(HAZ) is obtained by response surface methodology (RSM), and a mathematical model is established. Taking the established model as the objective function, genetic algorithm is used to optimize the process parameters. The optimal combination of parameters is laser power 6 W, laser frequency 515 kHz, scanning speed 2220.2 mm/s-2231.8 mm/s, minimum heat affected zone width 52 mu m. Through sensitivity analysis, it is found that laser power has the greatest influence on heat affected zone. The influence rules and causes of laser power and laser frequency, laser power and scanning speed on the width of HAZ are analyzed.
Keyword ：
sensitivity analysis sensitivity analysis Laser processing Laser processing genetic algorithm genetic algorithm CFRP CFRP
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| GB/T 7714 | Fan, Jinwei , Zhao Yuanyuan , Ri, Pan et al. Optimization of laser processing parameters on the width of heat affected zone of carbon fiber reinforced polymer [J]. | JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS , 2022 , 45 (2) : 131-137 . |
| MLA | Fan, Jinwei et al. "Optimization of laser processing parameters on the width of heat affected zone of carbon fiber reinforced polymer" . | JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS 45 . 2 (2022) : 131-137 . |
| APA | Fan, Jinwei , Zhao Yuanyuan , Ri, Pan , Jian, Yin , Ren Xingfei , Zhao Wanying . Optimization of laser processing parameters on the width of heat affected zone of carbon fiber reinforced polymer . | JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS , 2022 , 45 (2) , 131-137 . |
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Abstract ：
As an additive manufacturing technology, selective laser melting (SLM) can form any complex metal parts, which has unparalleled advantages compared to traditional processing methods. However, there are still some problems such as accuracy and non-repeatability to overcome to apply SLM to production practice. The high-precision monitoring and degradation feedback technology of SLM equipment is the future development direction. The real-time monitoring machine can repair itself and avoid the tedious detection in the post-processing stage. The researchers mainly monitor the quality of the forming process by molten pool signal, temperature signal, sound signal, and scanning track. The forming process is monitored using coaxial detection or paraxial detection through a high-speed camera, pyrometer, and other equipment. This paper can provide theoretical support for the SLM intelligent monitoring field. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature.
Keyword ：
Processing Processing Selective laser melting Selective laser melting Melting Melting High speed cameras High speed cameras
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| GB/T 7714 | Chen, Dongju , Wang, Peng , Pan, Ri et al. Research on in situ monitoring of selective laser melting: a state of the art review [J]. | International Journal of Advanced Manufacturing Technology , 2021 , 113 (11-12) : 3121-3138 . |
| MLA | Chen, Dongju et al. "Research on in situ monitoring of selective laser melting: a state of the art review" . | International Journal of Advanced Manufacturing Technology 113 . 11-12 (2021) : 3121-3138 . |
| APA | Chen, Dongju , Wang, Peng , Pan, Ri , Zha, Chunqing , Fan, Jinwei , Kong, Shuai et al. Research on in situ monitoring of selective laser melting: a state of the art review . | International Journal of Advanced Manufacturing Technology , 2021 , 113 (11-12) , 3121-3138 . |
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Abstract ：
对北京第二机床厂某系列数控磨床主轴系统的故障数据进行处理,绘制主轴系统的概率密度函数散点图,初步假定函数模型,再利用最小二乘法估计未知参数,利用卡方检验和相关系数法进行拟合优度检验,最终确定主轴系统的分布类型为指数分布。根据所属分布类型计算主轴系统的平均故障间隔时间MTBF,平均维修时间MTTR,以及固有可用度A,对主轴系统的可靠性进行评估。所得结果已反馈到生产厂家并获得认可,对数控磨床整机可靠性的提升有重要意义。
Keyword ：
可靠性建模 可靠性建模 数据拟合 数据拟合 可靠性评估 可靠性评估 主轴系统 主轴系统
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| GB/T 7714 | 范晋伟 , 薛良良 , 刘强 et al. 数控磨床主轴系统的可靠性建模与评估研究 [J]. | 制造技术与机床 , 2021 , PageCount-页数: 5 (01) : 38-42 . |
| MLA | 范晋伟 et al. "数控磨床主轴系统的可靠性建模与评估研究" . | 制造技术与机床 PageCount-页数: 5 . 01 (2021) : 38-42 . |
| APA | 范晋伟 , 薛良良 , 刘强 , 李伟华 . 数控磨床主轴系统的可靠性建模与评估研究 . | 制造技术与机床 , 2021 , PageCount-页数: 5 (01) , 38-42 . |
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