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1.
A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks 总被引：1，自引：0，他引：1
Chun-hua Li Xin-jian Zhu Guang-yi Cao Wan-qi Hu Sheng Sui Ming-ruo Hu 《浙江大学学报(A卷英文版)》2009,10(2):263-270
To extract the maximum power from a photovoltaic （PV） energy system, the real-time maximum power point （MPP） of the PV array must be tracked closely. The non-linear and time-variant characteristics of the PV array and the non-linear and non-minimum phase characteristics of a boost converter make it difficult to track the MPP for traditional control strategies. We propose a fuzzy neural network controller （FNNC）, which combines the reasoning capability of fuzzy logical systems and the learning capability of neural networks, to track the MPP. With a derived learning algorithm, the parameters of the FNNC are updated adaptively. A gradient estimator based on a radial basis function neural network is developed to provide the reference information to the FNNC. Simulation results show that the proposed control algorithm provides much better tracking performance compared with the filzzy logic control algorithm. 相似文献
2.
根据光伏阵列的输出特性与蓄电池充电特性,设计了一套具有最大功率点跟踪的光伏充电系统。该系统以dsPIC30F5011单片机为控制器,采用Cuk电路为充电主回路,根据蓄电池端电压对蓄电池采用四阶段充电控制策略。在欠电压充电阶段,采用基于PI调节的涓流对蓄电池充电;在快速充电的阶段,使用基于电导增量法的最大功率跟踪算法对蓄电池充电;在过冲与浮充阶段,使用基于PI调节的带有温度补偿的恒压充电。试验结果表明,最大功率点跟踪能快速跟踪外界环境的变化,并稳定工作在最大功率点,提高光伏电池的使用效率;过冲和浮充电压精度高,能延长蓄电池使用寿命。 相似文献
3.
WU Geng feng DONG Jian quan CHEN Yi min CAO Min ZHANG Yue 《上海大学学报(英文版)》1999,3(4):282-286
１ Ｉｎｔｒｏｄｕｃｔｉｏｎ Ａｆｕｚｚｙｎｅｕｒａｌｎｅｔｗｏｒｋｃｏｎｔｒｏｌｌｅｒｂａｓｅｄｏｎｔｈｅｃｏｍｂｉｎａｔｉｏｎｏｆｆｕｚｚｙｌｏｇｉｃｓｙｓｔｅｍａｎｄｎｅｕｒａｌｎｅｔｗｏｒｋｈａｓｕｎｉｑｕｅｃｈａｒａｃｔｅｒｉｓｔｉｃｓ．Ｉｔｎｏｔｏｎｌｙｈａｓｔｈｅｆｕｎｃｔｉｏｎｏｆｌｅａｒｎｉｎｇａｎｄａｓｓｏｃｉａｔｉｖｅｍｅｍｏｒｙｂｕｔａｌｓｏｃｌｅａｒｌｙｒｅｐｒｅｓｅｎｔｓａｋｉｎｄｏｆｓｔｒｕｃｔｕｒｅｄｋｎｏｗｌｅｄｇｅａｎｄｄｏｅｓｆｕｚｚｙｉｎｆｅｒｅｎ… 相似文献
4.
In order to utilize solar energy effectively and to achieve a higher electrical efficiency by limiting the operating temperature of the photovoltaic （PV） panel, a novel photovoltaic/thermal solar-assisted heat pump （PV/T-SAHP） system was proposed and constructed. The hybrid solar system generates electricity and thermal energy simultaneously. A distributed parameters model of the PWT-SAHP system was developed and applied to analyze the system dynamic performance in terms of PV action, photothermal action and Rankine cycle processes. The simulation results indicated that the coefficient of performance （COP） of the proposed PV/T-SAHP can be much better than that of the conventional heat pump. Both PV-efficiency and photothermic efficiency have been improved considerably. The results also showed that the performance of this PV/T-SAHP system was strongly influenced by the evaporator area, tube pitch and tilt angle of the PV/T evaporator, which are the key factors in PV/T-SAHP system optimization and PV/T evaporator design. 相似文献
5.
1Introduction Moltencarbonatefuelcell(MCFC)isaclearelec tricitygeneratingtechniquewithhighefficiency,which istobeusedwidely.Withoutcombustion,MCFCcon vertschemicalenergycontainedinfuelandoxidantin toelectricenergyviaelectro chemicalreaction.Per formanceof… 相似文献
6.
乔维德 《深圳职业技术学院学报》2009,8(3):19-22
针对超声波电机参数的时变性、系统内在的非线性和系统的强耦合性等特点,提出基于免疫遗传算法的超声波电机模糊神经网络速度控制策略．实验结果表明,与传统模糊神经网络速度控制相比,采用该方法的系统能较好地实现设定的超声波电机速度参考模型的自适应跟踪,响应速度脉动小,具有控制灵活、适应性强、控制精度高、鲁棒性强等优点． 相似文献
7.
防晒用品属于快速消费品,其销售情况受季节变动影响,具有非线性特征。人工神经网络强大的学习能力使其在销售量预测领域显示出非线性预测的应用优势。作为新兴智能算法,鲸鱼群算法具有快速收敛、全局优化等特点。为精准预测上海某化妆品公司防晒产品销量,基于鲸鱼算法,构建优化网络权值的门控循环神经网络模型。实验结果表明,经鲸鱼算法优化后的门控循环神经网络训练相对误差比优化前降低 0.6 个百分点,测试相对误差比优化前降低约 2 个百分点。 相似文献
8.
赵晶 《深圳职业技术学院学报》2008,7(4):8-11
基于光伏矩阵的物理特性,在PSIM仿真环境下,设计融合了最大功率跟踪技术（MPPT-Maximum Power Point Tracking）仿真算法的光伏矩阵仿真模型,应用于实际的单相光伏并网系统。测试数据表明,仿真模型可以模拟任意参数的光伏阵列,动态跟踪光照强度、环境温度的变化,为光伏发电系统动态仿真提供良好设计平台。 相似文献
9.
本文采用集中性和多样性策略对禁忌搜索进行改进,提出了一种基于模糊神经网络的混合禁忌搜索优化算法(FNN-based Hybrid Tabu Search Algorithm,FNN-HTS),用于同时优化模糊神经网络的结构和参数以提取出一组尽量精练的模糊规则。在FNN-HTS中,禁忌搜索用于同时优化网络结构和隶属函数参数,结合最小二乘法快速求解规则后件的线性参数。非线性函数逼近的实验结果表明所提出的方法能获得一组更精练的规则和更小的误差。 相似文献
10.
This paper introduces the effects of cell operating temperature, methanol concentration and airflow rate, respectively, on the performance of direct methanol fuel cell （DMFC）. A novel method based on fuzzy neural networks identification technique is proposed to establish the performance model of DMFC. Three dynamic performance models of DMFC under the influences of cell operating temperature, methanol concentration, and airflow rate are identified and established separately. Simulation results show that modeling using fuzzy neural networks identification is satisfactory with high accuracy. It is applicable to DMFC control systems. 相似文献
11.
BP神经网络是在数据挖掘、语音识别和文本语言转换等领域最为广泛使用的网络之一。但也有其不足之处，主要表现在收敛速度慢和学习时间长。并行是解决这一问题的可行方案。本文提出了一种利用微机机群来实现并行处理，在并行编程环境PVM中实现BP神经网络的并行学习算法。即主要采用将大量计算由主控节点转移到从结点上、设置逻辑锁和粗粒度任务划分等方法以减少计算和通信时间，有效实现学习过程的并行处理。在微机机群系统下的PVM环境中实现该算法。结果表明改进后的算法不仅大大减少了学习时间，提高了学习效率，而且能够很好面对大规模BP神经网络的学习。 相似文献
12.
A reinforcemen-based fuzzy neural network control with automatic rule generation RBFNNC) is pro-posed. A set of optimized fuzzy control rules can be automatically generated through reinforcement learning based onthe state variables of object system. RBFNNC was applied to a cart-pole balancing system and simulation resultshows significant improvements on the rule generation. 相似文献
13.
模糊神经网络变结构算法优化的研究 总被引：1，自引：0，他引：1
随着生产实际情况的不断变化,以及模糊神经网络不断的改进和发展,提出一种改进的构造神经网络的方法,并且提出混合学习算法,结合共扼梯度下降法与递归最小二乘估计来分别辨识网络中的前、后件参数,并对非线性系统进行仿真实验,达到控制要求. 相似文献
14.
To prevent the oxygen starvation and improve the system output performance, an adaptive inverse control (AIC) strategy is developed to regulate the air supply flow of a proton exchange membrane fuel cell (PEMFC) system in this paper.The PEMFC stack and the air supply system including a compressor and a supply manifold are modeled for the purpose of performance analysis and controller design. A recurrent fuzzy neural network (RFNN) is utilized to identify the inverse model of the controlled system and generates a suitable control input during the abrupt step change of external disturbances. Compared with the PI controller, numerical simulations are performed to validate the effectiveness and advantages of the proposed AIC strategy. 相似文献
15.
乔维德 《深圳职业技术学院学报》2009,8(5):13-17
为在简化开关磁阻电机控制系统结构的同时又能使其具有较快的转矩响应速度,提出一种适用于开关磁阻电机直接转矩控制的神经网络模糊推理控制方案,用神经网络定子磁链观测器取代传统的定子磁链观测器,采用模糊控制算法设计逆变器开关状态选择器,利用MATLAB对系统2种不同控制方法的仿真实验结果进行比较．通过比较发现,本文的控制方法转矩、转速、磁链响应快、脉动小,具有优良的稳定跟踪性能和动态响应。 相似文献
16.
The fuzzy NN predictive control algorithm introduced in this paper uses fuzzy neural network to model the nonlinear MIMO process.
Its training method that integrates LS and BP algorithm brings quick convergence. GPC algorithm is used as the predictive
component. The fuzzy neural network has six layers, including input layer, output layer and four hidden layers. An application
to a MIMO nonlinear process (green liquor system of the recovery system in a pulp factory shows that this algorithm has better
performance than normal PID algrithm.
Project (No. 20010539) supported by Education Office of Zhejiang Province. 相似文献
17.
提出了一种两阶段多功能光伏逆变器(QMFI),有功功率借助于该结构可以在一个功率转换器内从光伏阵列直接传输到电网或负载,从而提高转换效率。此外,考虑QMFI最大功率点跟踪(MPPT)的实现和非有功电流的补偿,提出了QMFI的数学模型,从而获得有效的控制参数。在求解过程中,采用基于旋转坐标系的分析模型,并推导了QMFI的空间矢量脉冲宽度调制策略,直观地揭示了非有功电流补偿对两阶段有功潮流的影响。最后,通过3 kVA样机验证了所提方案的可行性和有效性。 相似文献
18.
19.
1 Introduction Direct methanol fuel cell ( DMFC) is desirable toserve as the power systemfor portable devices such ascellular phones , portable computers ,etc. due to thetheoretically high energy density and the liquid fuelused that can be stored and tran… 相似文献
20.
乔维德 《江西电力职业技术学院学报》2009,22(4)
为简化无刷直流电机控制系统结构的同时又能使其具有较快的转矩响应速度,提出一种适用于无刷直流电机直接转矩控制的神经网络模糊推理控制方案,用神经网络定子磁链观测器取代传统的定子磁链观测器,采用模糊控制算法设计逆变器开关状态选择器。利用MATLAB对系统两种不同控制方法的仿真实验结果进行比较,通过比较得出,本文的控制方法转矩、转速、磁链响应快、脉动小,具有优良的稳定跟踪性能和较快的动态响应,具有一定的工程研究价值。 相似文献