然后，本文又对神经网络实现速度辨识器的可实现性进行论证。
Secondly, this dissertation also demonstrates the feasibility of realizing the speed identification through neural network.
本文介绍了一种可互换模型参考自适应方法实现对电机转速和定子电阻的辨识，并将其应用于异步机的无速度传感器直接转矩控制中。
A mutual model reference adaptive method for the rotor speed and stator resistance identification is proposed in this paper to implement a speed sensorless direct torque control of induction motors.
根据异步电动机直接转矩控制原理，提出了采用人工神经元网络速度辨识方法去实现无速度传感器的交流调速控制系统。
Based on the principle of the direct torque control, the novel identification method of induction motor speed using neural network in a speed-less sensor AC drive system was presented.
本文提出了一种用遗传算法(GA)辨识加速度传感器动态效学模型参数的新方法。
In this paper, a new method is proposed to identifying the dynamic mathematical model parameters of an accelerometer using genetic algorithms (GA).
提出了一个基于自适应磁链观测器的速度辨识方案。
A novel speed identification scheme was proposed based on an adaptive flux observer.
通过李亚普诺夫稳定性理论，推导出一种无速度传感器控制的速度自适应辨识算法。
The adaptive speed recognition algorithm without speed sensor control was deduced by applying the lyapunov stability theory.
建立了一种新型的全阶自适应状态观测器，提出了基于观测器的速度和定子电阻辨识方案。
This paper presents a novel full-order adaptive state observer. An adaptive identification scheme based on the observer for speed and stator resistance is proposed.
速度辨识是无速度传感器直接转矩控制的核心问题。
The speed estimation is core question of the speed sensorless direct torque control system.
本文针对无速度传感器异步电机矢量控制系统，提出了一个基于卡尔曼滤波器的异步电机速度辨识方法。
For a vector control of a speed sensor less induction motor drive system, a novel speed estimated method using an extended Kalman filter is proposed.
受外部干扰和模型误差影响，异步电机无速度传感器矢量控制中的转速辨识结果往往不准确。
Traditional speed identification methods for sensorless vector control of induction motors are inaccurate due to external disturbances and model errors.
并且为了加速辨识速度，设置了初始值检测器。
An initial value detector of eccentricity has been built to accelerate the identification speed of self -tuning.
介绍了异步电动机矢量控制系统神经网络速度控制器的设计方法；同时提出了将开环直接计算与模型参考自适应方法相结合的神经网络混合转速辨识模型。
And a new hybrid speed identification method is also proposed, which based on the neural network, combines the open loop estimator and the instantaneous reactive power model reference adaptive system.
仿真结果表明，所提出的无网侧电动势传感器控制技术具有良好的辨识速度，且辨识精度高，系统鲁棒性强。
Simulation results show that the designed source voltage sensorless control technology has a good recognition rate, and high identification precision, a strong robustness.
基于全阶观测器，采用李亚普诺夫稳定性理论对电机转速进行在线辨识，实现了异步电机无速度传感器直接转矩控制系统。
Motor speed was estimated on line base on Lyapunov's stability theory, and in this the speed sensorless direct torque control emulation system was designed.
对零低速区域速度的有效辨识是异步电动机无速度传感器控制的一个重要课题。
Effective speed identification in low speed and standstill area is an important item for speed sensorless control of asynchronous motor.
根据感应电机无速度传感器矢量控制原理，采用遗传算法进行转速辨识。
Speed estimator of sensorless vector control system based on variable argument PI adaptive mechanism;
根据感应电机无速度传感器矢量控制原理，采用遗传算法进行转速辨识。
Speed estimator of sensorless vector control system based on variable argument PI adaptive mechanism;
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