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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 ：
本发明提供了一种可循环喷流的主动减阻降热系统，包括进气道、传动轴、叶轮、叶轮支撑板、头锥装置、波纹管、单向阀、喷流头、第一外壳体、第二外壳体；头锥装置、第一外壳体、第二外壳体依次连接；进气道为弯曲结构，其出口端与第二外壳体连接，进口端朝向锥装置方向；叶轮设于第二外壳体内部与传动轴连接；叶轮支撑板设于第一外壳体内；叶轮与第二外壳体间形成第一气体管路，叶轮支撑板缓慢收缩端与第一外壳体间形成第二气体管路；进气道、第一气体管路、第二气体管路连通；波纹管、单向阀、喷流头依次连接，设于头锥装置内部，第二气体管路的出气端与波纹管连接。本发明能够解决现有技术中逆向喷流气源供应、控制能力不足等问题。
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| GB/T 7714 | 王毅 , 郭宇哲 , 周建波 et al. 一种可循环喷流的主动减阻降热系统 : CN202310437876.1[P]. | 2023-04-23 . |
| MLA | 王毅 et al. "一种可循环喷流的主动减阻降热系统" : CN202310437876.1. | 2023-04-23 . |
| APA | 王毅 , 郭宇哲 , 周建波 , 范晋伟 , 赵杰亮 . 一种可循环喷流的主动减阻降热系统 : CN202310437876.1. | 2023-04-23 . |
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Abstract ：
本发明公开了一种基于平面电机的直线导轨精度检测装置，主要由探头、球形万向节、表架、平面电机和数据处理装置组成，可实现对直线导轨直线度、平行度及表面微观形貌的高精密测量。本发明采用平面电机作为驱动装置，带动探头在测试平面内进行两自由度平动和偏转，消除了振动、摩擦磨损对检测数据的影响，通过控制探头位姿变化，降低了安装误差对检测结果的影响，并精准获取导轨表面信息。经过数据处理装置对检测数据进行拼接拟合计算，完成导轨精度测量。本发明具有抗干扰能力强、支撑刚度高的优点，特别适用于高精密直线导轨、超长导轨等测量场景。
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| GB/T 7714 | 范晋伟 , 李状 , 潘日 et al. 一种基于平面电机的直线导轨精度检测装置 : CN202310045570.1[P]. | 2023-01-30 . |
| MLA | 范晋伟 et al. "一种基于平面电机的直线导轨精度检测装置" : CN202310045570.1. | 2023-01-30 . |
| APA | 范晋伟 , 李状 , 潘日 , 孙锟 . 一种基于平面电机的直线导轨精度检测装置 : CN202310045570.1. | 2023-01-30 . |
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Abstract ：
本发明公开了一种用于机器人光学元件抛光的工件坐标系确定方法，包括以下步骤：将工件放置于工作台上，控制检测探头沿工件边缘移动，采集工件边缘点的坐标，根据工件边缘点的坐标计算工件中心点位置和摆放姿态；控制检测探头在工件中心点位置垂直向下移动，采集工件上表面中心点的位置坐标，根据所有采集点的坐标信息，得到初步工件坐标系；基于建立的初步工件坐标系，使用离线编程的方式生成测量路径，使用位移传感器沿测量路径对工件上表面进行扫描，由在线监测装置对扫描过程的坐标和位移传感器数据进行实时采集；根据采集的坐标和位移传感器数据进行平面线性拟合，基于此对上述初步工件坐标系的俯仰角误差进行补偿，得到最终工件坐标系。
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| GB/T 7714 | 潘日 , 刘斌 , 范晋伟 . 一种用于机器人光学元件抛光的工件坐标系确定方法 : CN202310305087.2[P]. | 2023-03-27 . |
| MLA | 潘日 et al. "一种用于机器人光学元件抛光的工件坐标系确定方法" : CN202310305087.2. | 2023-03-27 . |
| APA | 潘日 , 刘斌 , 范晋伟 . 一种用于机器人光学元件抛光的工件坐标系确定方法 : CN202310305087.2. | 2023-03-27 . |
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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 ：
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 ：
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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