Description: 电动机的控制方法之一，还算先进吧。
希望对你们有点用，也希望站长帮我开通。-One of motor control methods, it still advanced. I hope all of you a bit, and would also like station master to help me open. Platform: |
Size: 2465792 |
Author:王大钊 |
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Description: 基于模糊神经白适应的感应电动机直接转矩控制研究，希望对大家有用。-White adaptation based on fuzzy neural induction motor direct torque control study in the hope that useful to everyone. Platform: |
Size: 2462720 |
Author:王大钊 |
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Description: 直流电机调速系统模糊控制的仿真设计，有比较使用的控制段程序-DC Motor Speed Control System Simulation and Design of fuzzy control, have compared the procedure to control the use of paragraph Platform: |
Size: 1024 |
Author:jonin |
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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: 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
Platform: |
Size: 1097728 |
Author:wuchengsai |
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Description: 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 Platform: |
Size: 20480 |
Author:wuchengsai |
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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: 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 controller parameters lead to poor results in the control issue, based on fuzzy RBF neural network intelligent PID controller design method.
The method combines fuzzy control powers of reasoning and neural network learning ability and fuzzy control with RBF neural network combined line tuning of PID controller parameters, the entire
Identified a group suitable for the control object kp ki kd parameters. PID parameter optimization algorithm is applied to the motor control system, the simulation results show that the PID controller design based on this algorithm improves the dynamic performance and stability of the motor control system. Platform: |
Size: 418816 |
Author:张文 |
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Description: SPEED CONTROL OF SEPARATELY EXCITED DC
MOTOR USING FUZZY NEURAL MODEL
REFERENCE CONTROLLER Platform: |
Size: 212992 |
Author:Hakam |
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Description: 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。-Traditional PID controller parameters fixed in the control effect caused by the problem of poor design method based on fuzzy RBF Neural Network Intelligence PID controller. The method combines strong reasoning ability of fuzzy control and neural network learning ability of the characteristics of the RBF neural network and fuzzy control are combined to adjust the PID controller parameters online, fix the whole set is adapted to control the object kp, ki, kd parameter. The algorithm is applied to the motor control system PID parameter optimization, the simulation results show that the algorithm based on the design of PID controller to improve the dynamic performance and stability of the motor control system. Platform: |
Size: 2048 |
Author:马腾 |
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Description: Vector Controlled Permanent Magnet Synchronous Motor Drive
Based on Neural Network and Multi Fuzzy Controllers Platform: |
Size: 268288 |
Author:guesmi |
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Search - neural fuzzy motor