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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 co
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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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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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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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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
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Neural Network tool box nd motor control
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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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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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开关磁阻电机神经网络无位置传感器控制Switched reluctance motor sensorless control neural network-Switched reluctance motor sensorless control neural network
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实现电机伺服系统PID控制、模糊PID控制、神经网络PID控制仿真比较-Realize PID control motor servo system, the fuzzy PID control, neural network PID control the simulation
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实现无刷直流电机的补偿模糊神经网络与PID的复合控制、达到良好的控制效果-Realize the brushless dc motor compensation fuzzy neural network with the PID control, reach a composite control effect
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电机的直接转矩控制，用神经网络替代定子磁链观测器-Motor direct torque control using the neural network to replace the stator flux observer
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In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of
Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)
controller is used for controlling the rotor speed and Artificial Ne
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基于ADMC_401的三相交流感应电机的SVPWM变频调速研究，通过对感应电动机的矢量控制原理分析, 提出了一种PID神经元网络控制器-SVPWM variable frequency speed control studies based ADMC_401 three-phase AC induction motor, induction motor vector control principle analysis, proposed a PID neural network control
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基于神经网络解耦控制的多电机同步系统
-Multi-motor Synchronous System Based on Neural Network Decoupling Control
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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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Neural Network Vector Control of a Permanent
Magnet Synchronous Motor Drive
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The controller is built by MATLAB/Simulink. PID人工神经网络控制算法(Neural Network with PID controller is built by MATLAB/Simulink. This controller can be used in motor drive and other actuators in industry.)
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