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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
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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
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4下载：
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
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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
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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
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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 proto
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Neural Network tool box nd motor control
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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
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A VECTOR CONTROLLED INDUCTION MOTOR DRIVE
WITH NEURAL NETWORK BASED SPACE VECTOR PULSE
WIDTH MODULATOR
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A Neural Network Autoassociator for
Induction Motor Failure Prediction
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this code is for neural network based motor simulation
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12下载：
该仿真模型是一种利用模糊控制器调节PWM信号占空比的异步电动机直接转矩控制的策略，即在传统异步电动机直接转矩控制的基础上，用模糊控制器代替传统DTC中的滞环比较器和空间电压矢量状态选择器来细分控制规则，最后控制逆变器的开关，以减小转矩和磁链脉动，从而改善交流异步电机伺服系统的动、静态品质，使整个系统具有较强的鲁棒性和自适应性。-A method of the stator resistance estimate which based on the fuzzy neural network wa
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Abstract-This paper introduces the new concept of Artificial
Neural Networks (ANNs) in estimating speed and
controlling the separately excited DC motor. The neural
control scheme consists of two parts. One is the neural
estimator, which is us
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This paper describes a Model Reference Adaptive
System (MRAS) based scheme using a multilayer
Recurrent Neural Network (RNN) for online speed
estimation of sensorless vector controlled induction
motor drive.
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采用Hopfield神经网络的改进异步电动机直接转矩控制方法，可以有效的降低电磁转矩、定子磁链和定子电流的波动。-Improved Hopfield neural network using asynchronous motor direct torque control method can effectively reduce the electromagnetic torque, stator flux and stator current fluctuations.
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Optimized Neural Network Speed Control of Induction Motor using Genetic Algorithm.
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电机磁链神经网络观测器的研究Motor neural network observer study-Motor neural network observer study
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采用BP-神经网络，对市区的人口数量，机动车数量和公路面积进行预测-Using BP-neural network, the population of the urban area, the number of motor vehicles and road area forecast
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2下载：
开关磁阻电机，直接转矩控制，速度闭环，柔性神经网络自适应PID控制，转矩脉动可达2 -Switched reluctance motor, direct torque control, closed loop speed, flexible neural network adaptive PID control, torque ripple of up to 2
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3下载：
开关磁阻电机控制系统仿真与设计，BP神经网络，基于matlab(srm;srd;Switched reluctance motor)
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