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.
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.
分析比较了当前主要的三种异步电机速度辨识方法。
Three papular approaches to im speed identification are compared in simulation.
同时，也分析了转子电阻变化对速度辨识精度所产生的影响。
At the same time, the influence on precision of estimated speed is also analyzed when the rotor resistance changes.
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.
实验结果表明，该同步瞬时速度辨识的方法和控制方案具有良好的速度辨识性能和控制效果。
The results show that the control scheme and identification method are of better speed identification performances and control effects.
仿真结果表明该系统有较好的控制性能和辨识效果，但参数变化对速度辨识误差有明显的影响。
Simulation results show that the system has better control performance and estimation effect, but the influence of parameters variation on speed estimation error is evident.
重点介绍多种速度观测模型，并在比较诸多速度辨识方案后，采用基于卡尔曼滤波的速度估计方案。
It introduces many kinds of speed observe models especially, then selects the speed estimation scheme based Kalman filter after comparing a great deal of schemes of distinguishing rotational speed.
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.
在深入研究直接转矩控制系统速度辨识的基础上，提出了一种改进的转子磁链计算方法，并应用于系统的速度辨识中。
On the basis of studying the speed estimation of direct torque control, a calculate method ameliorated on rotor flux is presented and is applied to the speed estimation.
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.
相比于部分解耦辨识算法，该算法的优点在于它能够在全噪声数据环境下得到更高的收敛速度和精度。
The advantage of the presented algorithm is that it possesses higher convergence speed and precision than the partly decoupled identification algorithm under a complete noise data environment.
仿真结果表明LM算法可大大地提高学习速度，缩短训练时间，且辨识效果很好。
Simulation results illustrate that LM algorithm speed up learning process and reduce training time greatly. The identification effect is very good.
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.
为了提高计算速度，本文提出无需进行参数辨识的自适应滤波算法。
In order to raise computing speed, this paper presents the adaptive filtering algorithms of the system without necessarily identifying parameters.
为了准确估计转子速度，同时辨识了电机转子电阻。
In order to estimate the speed accurately, the motor rotor resistance is also identified in the observer.
在神经网络自学习过程中，引入了自适应学习速率和动量法，加快了网络的收敛速度，提高了网络的辨识精度。
During the self learning process, the adaptive learning rate and momentum gene are introduced to accelerate the rate of convergence and advance the identify accuracy.
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.
本文讨论了一根具端点粘滞阻尼的振动弦的初始状态的可辨识性，其中观测为该点的速度。
This paper discusses identifiability of the initial state of one vibrating string with viscous damping at end point, where the velocity at this point is observed.
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.
转向速度；操纵稳定性；轮胎侧向力；参数辨识；
Steering velocity Handling and stability Side force of tire Parameter identification;
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.
该算法与部分解耦的RLS自适应算法相比，显著提高了辨识过程的收敛速度和精度。
The algorithm can remarkably improve the convergence speed and precision of the identification process compared with the partially decoupled RLS adaptive identification algorithm.
RBF神经网络以其计算量小，学习速度快，不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。
RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.
论述了由射程辨识出最小速度值及其出现时间的方法；
What's more, the method of recognizing the minimum velocity and its built-up time by the missile's course is discussed.
结果表明，用r BF神经网络辨识发动机起动模型，具有方法简单、学习速度快、辨识精度较高等优点。
The results show that this start model features simple procedure, quick to learn and precision when use RBF neural networks for engine model identification.
通过振动铲斗激振力及检测铲斗工作状态下的加速度或位移，利用合适算法能够较好地辨识出被掘削土体参数。
According to the vibratory force, acceleration or displacement of the bucket, which are measured in working state, the reasonable identification algorithm of soil parameter is also presented.
研究结果表明，该方法辨识精度高、辨识速度快，是两相流流型在线辨识的一种有效手段。
Research results show that the new method has good identification precision, fast identification speed, it is an effective tool for two-phase flow pattern on-line identification.
研究结果表明，该方法辨识精度高、辨识速度快，是两相流流型在线辨识的一种有效手段。
Research results show that the new method has good identification precision, fast identification speed, it is an effective tool for two-phase flow pattern on-line identification.
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