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Description: bp神经网络对汽轮机峰峰值预测的源程-bp neural network prediction of steam turbine peak source way
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Size: 2048 |
Author: 王云 |
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Description: 摘要
本文在对永磁同步电动机进行电磁分析设计的基础上，采用MATLABISIMULINK仿真工具对控制系统分别采用PID控制、神经网络控
制的情况进行了仿真分析。-Abstract In this paper, permanent magnet synchronous motor for electromagnetic analysis and design, based on the simulation tool used MATLABISIMULINK on the control system were used PID control, neural network control of a simulation analysis.
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Size: 2223104 |
Author: 王大钊 |
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Description: MATLAB风力发电机模型。小电机模型，可以进行相关修改-MATLAB model of wind turbine. Small electric models, can be related to modifications
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Size: 182272 |
Author: haiyan |
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Description: MA11AB与VC++混合编程，开发了水轮机综合特性曲线数据处理系统。该系
统利用VC++友好的界面编程对水轮机综合特性曲线已知区域数据进行提取，使用MATLAB
搜索引擎调用RBF人工神经网络库对提取数据进行拟合并结合边界约束条件对未知区域内的
数据进行预测-MA11AB with VC++ mixed programming, developed the turbine characteristic curve of integrated data processing system. The system uses VC++-friendly programming interface integrated characteristic curve of the turbine region are known to extract data, using MATLAB search engine called RBF artificial neural network to extract data from the Treasury to be bound by the conditions of the merger combined with the border region of the unknown data Forecast
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Size: 279552 |
Author: ws |
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Description: 析了变速恒频双馈风力发电系统的工作原理。结合风力机特性和双馈发电机特性，说明了变速恒频运行方式下的最优风能捕获策略，并介绍了风力发电系统的滑模变结构控制、自适应控制、鲁棒控制和人工神经网络控制。总结了变速恒频风力发电系统的发展趋势。-Analysis of a Variable Speed Constant Frequency Wind Power Generation System works. Combination of wind turbine characteristics and the characteristics of doubly-fed generator, variable speed constant frequency shows the optimal operating mode to capture wind energy strategy, and introduced wind power generation system with variable structure control, adaptive control, robust control and artificial neural networks control. Summarizes the VSCF wind power system trends.
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Size: 429056 |
Author: wuxing |
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Description: Control of doubly fed induction wind turbine with an artificial neural networks ANN.
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Size: 153600 |
Author: Youcef |
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Description: bp神经网络对汽轮机峰峰值预测的源程序,matlab实现的-bp neural network prediction of the turbine peak source, matlab implementation
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Size: 1024 |
Author: heizi |
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Description: bp神经网络对汽轮机峰峰值预测的源程序 bp神经网络对汽轮机峰峰值预测的源程序-bp neural network prediction of the turbine peak of the source
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Size: 2048 |
Author: weiyufeng |
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Description: 基于自适应RBF神经网络的PID控制,用于燃气轮机排气温度
-SELF-ADAPTIVE RBF NEURAL NETWORK PID CONTROL IN EXHAUST TEMPERATURE OF MICRO GAS TURBINE
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Size: 282624 |
Author: 徐文 |
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Description: This paper describes a small wind generation system where neural network principles are applied for wind speed estimation and robust maximum wind power extraction control against potential drift of wind turbine power coefficient curve. The new control system will deliver maximum electric power to a customer with lightweight, high efficiency, and high reliability without mechanical sensors. A turbine directly driven permanent magnet synchronous generator (PMSG) is considered for the proposed small wind generation system in this paper. The new control system has been developed, analyzed and verified by simulation studies. Performance has then been uated in detail. Finally, the proposed method is also applied to a 15 kW variable speed cage induction machine wind generation (CIWG) system and the experimental results are presented. -This paper describes a small wind generation system where neural network principles are applied for wind speed estimation and robust maximum wind power extraction control against potential drift of wind turbine power coefficient curve. The new control system will deliver maximum electric power to a customer with lightweight, high efficiency, and high reliability without mechanical sensors. A turbine directly driven permanent magnet synchronous generator (PMSG) is considered for the proposed small wind generation system in this paper. The new control system has been developed, analyzed and verified by simulation studies. Performance has then been uated in detail. Finally, the proposed method is also applied to a 15 kW variable speed cage induction machine wind generation (CIWG) system and the experimental results are presented.
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Size: 691200 |
Author: shatha |
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Description: 本代码通过matlab工具箱，对神经网络问题进行了研究，0-2代码对于神经网络进行训练，函数选择和误差调试，3代码对电路故障参数进行训练诊断，4代码对涡轮机故障参数进行故障诊断-The code through the matlab toolbox neural network conducted a study, 0-2 code for neural network training, function selection and error debugging, code 3 circuit fault diagnosis training parameters, four turbine fault code parameters for fault diagnosis
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Size: 1024 |
Author: 霍骋 |
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Description: 采用BP神经网络的方法预测风力机发电功率-Adopt the method of BP neural network to predict wind turbine power
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Size: 348160 |
Author: 郜志腾 |
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Description: A Novel MPPT Control Design for Wind-Turbine
Generation Systems Using Neural Networlk
Compensator
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Size: 1204224 |
Author: rahoua |
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Description: 该程序是基于RBF神经网络调节PID三个参数，实现风力机变桨距控制效果。其中包含风力机的仿真模型，控制效果较好。-The program is based on the RBF neural network regulator PID three parameters, and wind turbine pitch control. Which includes wind turbine simulation model, control is better.
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Size: 126976 |
Author: 郭鹏飞 |
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Description: A grid-connected wind-photovoltaic (PV) hybrid power system is proposed, and the steady-state model
analysis and the control strategy of the system are presented in this paper. The system consists of the PV
power, wind power, and an intelligent power controller. The General Regression Neural Network (GRNN)
algorithm applied to PV generation system which has non-linear characteristic and analyzed performance.
A high-performance on-line training radial basis function network-sliding mode (RBFNSM) algorithm
is designed to derive the turbine speed to extract maximum power the wind.-A grid-connected wind-photovoltaic (PV) hybrid power system is proposed, and the steady-state model
analysis and the control strategy of the system are presented in this paper. The system consists of the PV
power, wind power, and an intelligent power controller. The General Regression Neural Network (GRNN)
algorithm applied to PV generation system which has non-linear characteristic and analyzed performance.
A high-performance on-line training radial basis function network-sliding mode (RBFNSM) algorithm
is designed to derive the turbine speed to extract maximum power the wind.
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Size: 846848 |
Author: Rachid/s |
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Description: 基于pnn神经网络分类实现风机故障诊断，使用了互熵滤波器(Wind turbine fault diagnosis based on pnn neural network classification using a cross-entropy filter)
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Size: 303104 |
Author: 爱你千百回 |
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