Location:
Search - motor network
Search list
Description: 基于BP神经网络的电机系统的波形控制
阐述了BP神经网络模型和算法，建立了电流型交——交变频同步电动机的波形控制神经网络BP模型，并将计算结果与仿真结果作了比较。-BP neural network-based motor control system waveform expounded BP neural network models and algorithms of current pay-- Cycloconverter Synchronous Motor waveform control neural network model, results of the computation and simulation results were compared.
Platform: |
Size: 60416 |
Author: 汪顺和 |
Hits:
Description: ＤＳＰ２４０７ 基于神经网络的交流电机控制源程序，具有ＰＩＤ参数自整定功能。-DSP2407 based on neural network source AC motor control with PID parameter self-tuning function.
Platform: |
Size: 5120 |
Author: yuguo |
Hits:
Description: 基于神经网络自动控制的电机调速DSP程序。能自动学习PID参数。-Automatic control based on neural network motor DSP procedures. Learning PID parameters automatically.
Platform: |
Size: 76800 |
Author: 郑天江 |
Hits:
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.
Platform: |
Size: 2223104 |
Author: 王大钊 |
Hits:
Description: 直流电机调速系统模糊控制的仿真设计，有比较使用的控制段程序-DC Motor Speed Control System Simulation and Design of fuzzy control, have compared the procedure to control the use of paragraph
Platform: |
Size: 1024 |
Author: jonin |
Hits:
Description: SVPWM 适量控制，用于电机控制，一条是成功，-SVPWM appropriate control, for motor control, one is successful,
Platform: |
Size: 10240 |
Author: yuguo |
Hits:
Description: 该PPT提供了无刷电机无位置控制的新方法...RBF神经网络控制...我们积极在这方面做实验，取得了一定的效果-The PPT provides a brushless motor without position control of the new method ... RBF neural network control ... We are actively conducting experiments in this regard, and achieved some results
Platform: |
Size: 95232 |
Author: gexiaozhong |
Hits:
Description: 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的
分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分
量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混
合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal! Proposed a new mixed-signal blind sound source separation method: This method is based on joint probability distribution of signal statistics! Use of signal joint probability of directional derivative entropy minimum get the best rotation angle ! finally realize blind signal separation: with the fast independent component analysis and neural network methods! This method does not require iterative calculation: the introduction of a new blind signal separation method of sound source on the bearing test bed of mixed sound signals to identify! to motor and rolling bearings separated voice! which can accurately identify the mechanical failure
Platform: |
Size: 143360 |
Author: 长衫 |
Hits:
Description: 伺服电机的神经网络参数自整定程序，利用BP误差反向传播算法改变PID 控制参数以获得优越的控制效果-Servo motor parameters of the neural network self-tuning procedures, the use of error back-propagation algorithm BP to change PID control parameters for superior control
Platform: |
Size: 1024 |
Author: 阿满 |
Hits:
Description: Neural network implementation of induction motor. Diagramitical and practical explanation of neural network implementation
Platform: |
Size: 200704 |
Author: manchurian |
Hits:
Description: 用BP神经网络的初步级应用实现
电机故障诊断-BP neural network with the initial level of motor fault diagnosis applications
Platform: |
Size: 27648 |
Author: 小马 |
Hits:
Description: 包含Simulink在控制系统、人工神经网络中的应用-With Simulink in the control system, the application of artificial neural network
Platform: |
Size: 373760 |
Author: 丁豆 |
Hits:
Description: a transmission line fault location model which is based on an Elman recurrent network
(ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with
different inception times are implemented on a 380-kV prototype power system. Wavelet transform
(WT) is used for selecting distinctive features about the faulty signals. The system has the advantages of
utilizing single-end measurements, using both voltage and current signals. ERN is able to determine the
fault location occurred on transmission line rapidly and correctly as an important alternative to standard
feedforward back propagation networks (FFNs) and radial basis functions (RBFs) neural networks.
Platform: |
Size: 761856 |
Author: charlie |
Hits:
Description: MATLAB_SIMULINK永磁同步电机矢量控制系统仿真,希望对大家有所帮助-MATLAB_SIMULINK permanent magnet synchronous motor vector control system simulation, want to help everyone
Platform: |
Size: 457728 |
Author: liuli |
Hits:
Description: Neural Network tool box nd motor control
Platform: |
Size: 517120 |
Author: venkat |
Hits:
Description: A PI Type Fuzzy-neural Network Controller for Induction Motor Drives
Platform: |
Size: 400384 |
Author: inouir |
Hits:
Description: this matlab program uses GRNN neural network tocontrol the speed of Linear induction Motor Drive, both m-file and simulink file are inclu-this is matlab program uses GRNN neural network tocontrol the speed of Linear induction Motor Drive, both m-file and simulink file are includd
Platform: |
Size: 38912 |
Author: tarek |
Hits:
Description: A VECTOR CONTROLLED INDUCTION MOTOR DRIVE
WITH NEURAL NETWORK BASED SPACE VECTOR PULSE
WIDTH MODULATOR
Platform: |
Size: 157696 |
Author: q |
Hits:
Description: A Neural Network Autoassociator for
Induction Motor Failure Prediction
Platform: |
Size: 58368 |
Author: q |
Hits:
Description: 优秀论文及配套源码。电压暂降是动态电能质量问题中最受关注的热点之一。大量新型电力电子设备的广泛使用对电网电能质量的要求越来越高，而且电压暂降在电网中又具有一定的传播性。因此，无论从电网还是用户都迫切需要对电压暂降进行研究和治理。对电压暂降的检测是解决电压暂降的前提条件，故本论文主要对电压暂降的检测方法进行研究。
本文分析了国内外短时电能质量扰动检测的研究现状，并着重讨论了短路故障、感应电动机启动和变压器激磁三种电压暂降扰动情况下电压暂降的特性；在此基础上选择了基于S变换的短时电能质量扰动检测方法，从S变换的结果S模矩阵及S复矩阵中提取出所需数据并以此来对各种扰动情况下的电压暂降的幅值、相位跳变、持续时间和谐波含量进行分析。仿真结果表明，该方法很好地实现了对电压暂降各特征量的检测。
-The voltage sag is one of most hot topics in dynamic electric energy problems. Masses of new power and electron facilities have been put into use widely, requiring a high quality of electric network and power, chiefly the voltage sag. Moreover, the voltage sag can spread in the electric network. So people have every reason to research and control the voltage sag. However, before developing the voltage sag, people have to detect it. On account of the above, this essay will chiefly focus on the detect methods of the voltage sags.
In this paper, the status of the short duration power quality disturbance based on the different method are researched firstly, and emphasizes the characteristic of the voltage sag under the situation of the three kinds of voltage sag disturbances like the short circuit fault, induction motor start-up and transformer excitation. On the basis of the above, the short duration power quality disturbance detection method based on S transform is chosen. The complex m
Platform: |
Size: 541696 |
Author: NBB |
Hits: