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Base_BPAN
- 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
Simulationofinductionmotordirecttorquecontrolsyste
- 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
APITypeFuzzyneuralNetworkControllerforInductionMo
- A PI Type Fuzzy-neural Network Controller for Induction Motor Drives
5_3_8
- 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
ADMC_401-SVPWM
- 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
01259578
- Direct Torque Control of Induction Motor by Use of Neural Network
1000-3428(2008)22-0231-03
- 针对传统的PID 控制器参数固定而导致在控制中效果差的问题，提出一种基于模糊RBF 神经网络智能PID 控制器的设计方法。 该方法结合了模糊控制的推理能力强与神经网络学习能力强的特点，将模糊控制与RBF 神经网络相结合以在线调整PID 控制器参数，整 定出一组适合于控制对象的kp. ki. kd 参数。将算法运用到电机控制系统的PID 参数寻优中，仿真结果表明基于此算法设计的PID 控制器改善了电机控制系统的动态性能和稳定性。-Fixed for the traditional PID
2412ijics03
- SPEED CONTROL OF SEPARATELY EXCITED DC MOTOR USING FUZZY NEURAL MODEL REFERENCE CONTROLLER
05759311
- 基于RBF神经网络的三电机同步调速系统 控制 -Three-motor Synchronous Speed-regulation System Based on RBF Neural Network Control
8545343
- 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
ijrte0206121124
- A Neural Network Based Speed Control for DC Motor
Motor-Life-Prediction
- 基于 BP 神经网络的高压潜水电机绝缘寿命预测,俺是初学者，这是花钱下载的，比较前沿，希望对各位有用。-High Voltage Submersible Motor Insulation Life Prediction Based on BP Neural Network
04582574
- Neural Network Vector Control of a Permanent Magnet Synchronous Motor Drive
04666251
- Vector Controlled Permanent Magnet Synchronous Motor Drive Based on Neural Network and Multi Fuzzy Controllers
05749083
- Artificial Neural Network-Based Controller for Permanent Magnet Synchronous Motor Servo System
Research-on-Optimization-of-Speed-Identification.
- Introducing the rank-weight method into the basic ant colony optimization (ACO), we use the modified ACO to optimize the weights and thresholds value of neural networks (NN). And when the BPNN is being trained, this method can solve the disad