大师作文网英语翻译 不要用软件翻译的
来源：学生作业帮 编辑：大师作文网作业帮 分类：英语作业 时间：2024/11/12 23:53:43
英语翻译 不要用软件翻译的
Design/methodology/approach – A range of published works relevant to the solar energy conversion modular systems are evaluated and their limitations are indicated in the first section of the paper. The circuit diagram of the panel-boost converter system is described in the second section. In the third section, a neural network model is suggested for the photovoltaic panel and the model is created in the MATLAB/SIMULINK and then combined with other blocks existing in the system. The design of the FLC method is described in section 4. The simulation and experimental results corresponding to the control of the duty-cycle of the converter to set the operating point of the solar panel at the maximum power point (MPP) are given in sections 5 and 6, respectively. Section 7, summarizes the results and conclusions of the study.
Findings – The paper suggests a simple dc-dc boost converter controlled by FLC method. The proposed converter model can be used to obtain maximum power from a photovoltaic panel.
Research limitations/implications – In preparing this paper, the resources books existing in the library of our university and the resources relative to the solar energy conversion and FLC published in English language and reachable through the internet were researched.
Practical implications – The paper suggests a neural network model for a solar panel, which can be used in the simulation of the solar energy panel-boost converter system. The solar energy panel-boost converter system proposed in this study can be used by the researchers who are working in the solar energy conversion area.
Originality/value – The suggestion of a neural network model for a solar panel and creation of this model in the MATLAB/SIMULINK environment provides researchers to simulate and to analyze the performance of the solar energy panel-boost converter system using the MATLAB/SIMULINK simulation program. In addition, since the control approach proposed in this paper does not require the information on temperature and solar irradiance that affect the maximum output power, can effectively find the MPP of the solar panel.
Keywords Neural nets, Fuzzy logic, Control, Solar power Paper type Research paper
Design/methodology/approach – A range of published works relevant to the solar energy conversion modular systems are evaluated and their limitations are indicated in the first section of the paper. The circuit diagram of the panel-boost converter system is described in the second section. In the third section, a neural network model is suggested for the photovoltaic panel and the model is created in the MATLAB/SIMULINK and then combined with other blocks existing in the system. The design of the FLC method is described in section 4. The simulation and experimental results corresponding to the control of the duty-cycle of the converter to set the operating point of the solar panel at the maximum power point (MPP) are given in sections 5 and 6, respectively. Section 7, summarizes the results and conclusions of the study.
Findings – The paper suggests a simple dc-dc boost converter controlled by FLC method. The proposed converter model can be used to obtain maximum power from a photovoltaic panel.
Research limitations/implications – In preparing this paper, the resources books existing in the library of our university and the resources relative to the solar energy conversion and FLC published in English language and reachable through the internet were researched.
Practical implications – The paper suggests a neural network model for a solar panel, which can be used in the simulation of the solar energy panel-boost converter system. The solar energy panel-boost converter system proposed in this study can be used by the researchers who are working in the solar energy conversion area.
Originality/value – The suggestion of a neural network model for a solar panel and creation of this model in the MATLAB/SIMULINK environment provides researchers to simulate and to analyze the performance of the solar energy panel-boost converter system using the MATLAB/SIMULINK simulation program. In addition, since the control approach proposed in this paper does not require the information on temperature and solar irradiance that affect the maximum output power, can effectively find the MPP of the solar panel.
Keywords Neural nets, Fuzzy logic, Control, Solar power Paper type Research paper
设计/方法/方法-一个范围已经发表的作品有关的太阳能转换模块的系统评价及其局限性都在第一节的纸.线路图的panel-boost转炉系统在第二节.在第三节,神经网络模型,提出了光电面板模型和创造在MATLAB / SIMULINK块,然后结合其他系统存在的.调速系统的设计方法,在第四节描述.仿真和实验结果相应的控制电路的工作液循环的操作的太阳能电池板在最大的灵能点(产量中给出了部分5和6.第七节,总结了研究结果及结论.
结果,提出一个简单的直流-直流转换器控制调速方法.通过提出转炉模型可以用来获得最高权力从光电面板.
研究局限性/含意-准备进行了探讨,并提出了图书馆图书资源存在的大学和资源相对太阳能转换和下英语语言出版达通过互联网进行研究.
实际意义-提出一种基于神经网络的模式为太阳能电池板,可用于模拟panel-boost太阳能转换系统.太阳能panel-boost转换系统提出了可以使用的研究者们正在将太阳能转换区.
创意/价值——建议的神经网络模型,一个太阳能面板和创造的这个模型在MATLAB / SIMULINK环境为研究者提供了模拟和分析太阳能panel-boost转换系统采用MATLAB / SIMULINK仿真程序.除此之外,它的控制方法.文中提出了不需要的信息和太阳能辐射温度影响最大输出功率、可以有效地找到的边际产量的太阳能板.
关键词神经网络、模糊逻辑控制、太阳能纸式的研究论文
结果,提出一个简单的直流-直流转换器控制调速方法.通过提出转炉模型可以用来获得最高权力从光电面板.
研究局限性/含意-准备进行了探讨,并提出了图书馆图书资源存在的大学和资源相对太阳能转换和下英语语言出版达通过互联网进行研究.
实际意义-提出一种基于神经网络的模式为太阳能电池板,可用于模拟panel-boost太阳能转换系统.太阳能panel-boost转换系统提出了可以使用的研究者们正在将太阳能转换区.
创意/价值——建议的神经网络模型,一个太阳能面板和创造的这个模型在MATLAB / SIMULINK环境为研究者提供了模拟和分析太阳能panel-boost转换系统采用MATLAB / SIMULINK仿真程序.除此之外,它的控制方法.文中提出了不需要的信息和太阳能辐射温度影响最大输出功率、可以有效地找到的边际产量的太阳能板.
关键词神经网络、模糊逻辑控制、太阳能纸式的研究论文