Description: 异步电机的精确控制和速度辨识是交流传动系统中重要问题。在该仿真系统中，电机转速采用易于检测的电机定子电压和电流得到转速MRAS辨识算法来估算。由于速度辨识算法中电压模型的纯积分环节会引起的误差积累和漂移问题，采用改进积分型转子磁链估算模型来解决。-The precise control and the speed identification of AC motor are the very important issues on AC drive system.In this system, induction motor is controlled by the direct torque control, stator flux is estimated by u-n model observer that is effective in the full range of speed, motor speed is estimated by MRAS speed identification algorithm that is depended on the voltage and the current of motor stator easily detected. The modified integral rotor flux estimation model is used to solve the problem that the normal model can be affected by the error accumulation and drift of integral calculation in the voltage model of conventional speed identification algorithm. Platform: |
Size: 21504 |
Author:王晨 |
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Description: 异步电机的精确控制和速度辨识是交流传动系统中重要问题。该仿真模型在异步电机的数学模型、矢量控制原理及速度辨识算法的基础上，利用Matlab/Simulink仿真软件中SimPowerSystems模块，构建了基于MRAS无速度传感器的异步电机矢量控制系统。-The precise control and the speed identification of AC motor are the very important issues on AC drive system. In this paper, on the basis of analyzing the mathematical model of AC motor, the principle of vector control and the algorithm speed identification, the speed sensorless vector control system of induction motor based on MRAS is constructed on SimPowerSystems modules of Matlab/Simulink simulation software. Platform: |
Size: 12288 |
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: 建立模型参考自适应系统(MRAS)来估计转子磁链，最后通过Matlab／Simulink仿真与基于DSP的无速度传感器异步电动机矢量控制实验-Model reference adaptive system (MRAS) to estimate the rotor flux, and finally through Matlab/Simulink Simulation and DSP-based induction motor speed sensorless vector control experiments Platform: |
Size: 57344 |
Author:刘轲 |
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Description: The training techniques, allows a wide range of use of the asynchronous machine with good
performance, tell her great robustness, reliability and electromagnetic low cost. The vector control
strategy takes into account the dynamic structure of the machine to have training systems robust high
performance. In the sensorless speed control of induction motors for the information of the rotor speed
and extracted the electrical terminals of the stator (voltage, current) .
Vector control of induction motors allows to reduce the control of an induction motor similar to that of
a machine with separate excitation current contained linear control, this control requires an estimate of
the amplitude and direction of flow in the rotor.
The estimated speed of the engine, which uses the MRAS technique based on reactive power, has been
proposed and used in this work to achieve this goal. -The training techniques, allows a wide range of use of the asynchronous machine with good
performance, tell her great robustness, reliability and electromagnetic low cost. The vector control
strategy takes into account the dynamic structure of the machine to have training systems robust high
performance. In the sensorless speed control of induction motors for the information of the rotor speed
and extracted the electrical terminals of the stator (voltage, current) .
Vector control of induction motors allows to reduce the control of an induction motor similar to that of
a machine with separate excitation current contained linear control, this control requires an estimate of
the amplitude and direction of flow in the rotor.
The estimated speed of the engine, which uses the MRAS technique based on reactive power, has been
proposed and used in this work to achieve this goal. Platform: |
Size: 204800 |
Author:zakary |
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Description: 基于无速度传感器感应电机的自适应识别自制程序(Self-made program of self-adaptive recognition based on speed sensorless induction motor) Platform: |
Size: 11264 |
Author:ccq1107 |
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Search - speed sensorless induction motor mras