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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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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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A PI Type Fuzzy-neural Network Controller for Induction Motor Drives
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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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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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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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Optimized Neural Network Speed Control of Induction Motor using Genetic Algorithm.
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A STATOR RESISTANCE ESTIMATION OF INDUCTION
MOTOR USING NEURAL NETWORK
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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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Direct Torque Control of Induction Motor by Use of Neural Network
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Detection of Rotor Eccentricity Faults in a
Closed-Loop Drive-Connected Induction Motor
Using an Artifi cial Neural Network
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Experimental Study of Artificial Neural Network
as a Rotor Resistance Estimator in the Indirect
Vector Control of an Induction Motor
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Learning Vector Quantization Neural Network Based External Fault
Diagnosis Model for Three Phase Induction Motor Using Current
Signature Analysis
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