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: 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! Proposed a new mixed-signal blind sound source separation method: This method is based on joint probability distribution of signal statistics! Use of signal joint probability of directional derivative entropy minimum get the best rotation angle ! finally realize blind signal separation: with the fast independent component analysis and neural network methods! This method does not require iterative calculation: the introduction of a new blind signal separation method of sound source on the bearing test bed of mixed sound signals to identify! to motor and rolling bearings separated voice! which can accurately identify the mechanical failure Platform: |
Size: 143360 |
Author:长衫 |
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Description: 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 Platform: |
Size: 1024 |
Author:阿满 |
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Description: 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 Platform: |
Size: 373760 |
Author:丁豆 |
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Description: 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 Platform: |
Size: 457728 |
Author:liuli |
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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: 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 used to estimate the motor speed. The
other is the neural controller, which is used to generate a
control signal for a converter. These two networks are
trained by Levenberg-Marquardt back propagation
algorithm. Standard three layer feed forward neural
network with sigmoid activation functions in the input and
hidden layers and purelin in the output layer is used.
Simulation results are presented to demonstrate the
effectiveness and advantage of the control system of DC
motor with ANNs in comparison with the conventional
control scheme. Platform: |
Size: 490496 |
Author:amidi |
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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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Search - motor neural network