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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Description: A VECTOR CONTROLLED INDUCTION MOTOR DRIVE
WITH NEURAL NETWORK BASED SPACE VECTOR PULSE
WIDTH MODULATOR Platform: |
Size: 157696 |
Author:q |
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Description: 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 was proposed and the motor speed is estimated by MRAS speed identification algorithm based on the stator voltage and the current that can be easily detected. Besides, a new design of fuzzy direct torque control system of induction motor was introduced in this paper, which based on strategy of modulating the duty cycle to decrease the torque and stator flux ripple. This design uses fuzzy control block to instead of the traditional space voltage vector selector to control the inverter switch which can improve the static and dynamic performances of AC asynchronous motors, which make the whole control system have strong robustness. Platform: |
Size: 14336 |
Author:王晨 |
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Description: 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 inductmon
motor drive.
Platform: |
Size: 11264 |
Author:chinni |
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Description: 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 Neural Network (ANN) applied in
switching select stator voltage. We estimated the rotor speed by using the Model Reference
Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,
stator flux and current ripples and especially improve system good dynamic performance and
robustness in high and low speeds-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 Neural Network (ANN) applied in
switching select stator voltage. We estimated the rotor speed by using the Model Reference
Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,
stator flux and current ripples and especially improve system good dynamic performance and
robustness in high and low speeds.. Platform: |
Size: 3107840 |
Author:aa |
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Description: 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 controller Platform: |
Size: 444416 |
Author:x |
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Description: 异步电机调速系统，参考模型神经网络控制器的感应电机转速-Induction motor speed control system, neural network reference model of induction motor speed controller Platform: |
Size: 149504 |
Author:冷坚华 |
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Description: Speed Tracking of Indirect Field Oriented Control Induction Motor using Neural Network - pdf Platform: |
Size: 349184 |
Author:Nitromira |
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Description: Detection of Rotor Eccentricity Faults in a
Closed-Loop Drive-Connected Induction Motor
Using an Artifi cial Neural Network Platform: |
Size: 774144 |
Author:marwan_2 |
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Search - neural network induction motor