阐述了异步电机转速估计基本原理，指出了常规方法所存在的问题。
The fundamental principle of speed identification for induction motors is introduced. The drawbacks of the usual method of speed identification is pointed out.
同时，为了使转速估计和转子电阻的辨识解耦，在励磁电流处叠加了小幅交流分量。
Meanwhile, a slight AC component was added to excitation current to decoupling speed estimation and rotor resistance.
高精度高性能的伺服驱动系统需要在宽范围内有精度高、响应快及分辩率高的转速估计算法。
A high precision and high performance servo-drive system needs a rotating speed estimation algorithm which has high accuracy, fast response and high resolution in a wide range.
将采样得到的电机定子电压和电流转换为数字量后输入到转速估计系统来估计转速，并跟实际测得的转速进行对比。
The sampled stator voltages and currents were conversion to digital quantity and given to speed estimation system for estimating speed, then contrast it with the actual measured motor speed.
本文从研制高精度随动系统出发，详细分析了PWM驱动器的数学模型及特性，提出一种简单易行的转速估计器，并在此基础上开发出一种适于中小功率直流力矩电机的新型PWM驱动器。
With a view to develop high accuracy servo system, this paper gives a detailed analysis on mathematical model and character of PWM driver, puts forward a simple rotational velocity estimator.
系统采用具有自适应补偿的电压模型估算定子磁链，PI自适应法估计转速。
The stator flux is estimated by adaptive compensated voltage model, and the speed is estimated with PI adaptive method.
异步电机无速度传感器矢量控制系统需解决两个问题：转速的估计和转子磁链的观测。
Two problems must be solved in the speed sensorless Field Oriented Control of induction motor drive: the speed estimation and rotor flux observation.
用短时傅立叶分析的方法研究了辐射噪声在高频段时频变化的周期性，估计了目标的螺旋桨转速。
Period characteristics of radiated noise at high frequency is investigated by a method based on short time Fast Fourier Transformation, and propeller speed is estimated.
本文提出了一种利用扩展卡尔曼滤波器算法来估计BLDCM的转速和位置的方法。
A novel method for speed and rotor position estimation of BLDCM, which applies extend Kalman filter (EKF), is presented in this paper.
磁链自适应观测器中的非线性修正项除考虑转速跟踪误差的影响外，还考虑了转子电阻估计误差和磁链观测误差的影响。
In rotor flux adaptive observers, the influence of flux amplitude tracking error estimate and rotor resistance estimate error in addition to speed tracking error is considered.
仿真结果表明EKF可在整个调速范围内进行高精度的转速和磁链估计，控制系统具有优良的动态和稳态性能。
Simulation results show that the EKF can give the accurate estimation of rotor speed and flux in all drive range, and the proposed control scheme processes the perfect dynamic and static performance.
通过对转速的估计，间接矢量控制中转子磁场定向的准确度也大大提高。
The veracity of rotor flux orientation is also improved though the speed estimation.
本文在课题组多年来对交流电机pch控制研究的基础上，引入了无速度传感器控制，实现对电动机转速信号的估计。
In this paper, on based research of PCH control of AC motors by research group, speed sensorless control is introduced, then speed estimation of AC motor is realized.
仿真结果表明，这种方法能够准确估计出电机的转子位置和转速信息，动静态性能良好，并基于此实现了最大功率追踪控制。
Simulation results indicate that rotor position and speed could be precisely estimated by using this method. Dynamic and steady state performances are good.
当电机转速的估计值收敛于转速的真实值时，观测的转子磁链也收敛于其真实值，可将其用于直接磁场定向控制中。
When the estimated speed converges to the actual rotor speed, the rotor flux observed converges to its true value, which can be used in direct field orientation control (DFOC).
转子磁链观测器以两个电流观测器和速度观测器的输出作为输入，估计转速反馈到第二个电流观测器和转子磁链观测器。
The rotor speed observer takes the outputs from the second current observer and the rotor flux observer as its inputs and generates the estimated rotor speed as the output.
提出了一种异步电机无速度传感器矢量控制的新方法，用瞬时无功功率和励磁电流变化来估计电机转速。
This paper proposes a new method of sensorless vector control for induction motors, in which the motor speed is estimated by both instantaneous reactive power and variation of magnetizing current.
在第二级中，运用径向基网络估计血泵转速连续变化对流量的影响。
In the second order, radial basis function neural network was applied to estimate the flow rate of the pump at different rotational speed of the blood pump.
该控制器包括非线性后推控制器和用来估计转速的转速观测器。
This controller consists of nonlinear backstepping controllers and a velocity observer to achieve the purpose of speed following.
实验结果表明，估计转速基本能跟踪实际转速变化，系统性能稳定。
The experimental results show the estimated speed can trace the actual speed, and the system has stable performance.
因此，为了能更精确的估计电机转速，设计了定子电阻和转子电阻的在线辨识模块。
Therefore, in order to estimate speed more accurately, blocks of stator resistance and rotor resistance online identification were designed.
将基于递推最小二乘算法的转速在线辨识方法引入电动助力转向系统中，以估计助力电动机的转速。
A speed identification method based on recursive least square (RLS) algorithm is introduced into electric power steering (EPS) system for estimating the speed of EPS motor.
变速器档位的改变基于根据节气门开度和发动机转速的发动机输出的估计；
Switching of speed change gear is based on the estimation of engine output from throttle opening and engine rpm.
通过测试直流电机内阻和反电动势系数随电机电流的变化曲线，从而得到电机转速更精确的估计表达式。
A more accurate estimate expression is obtained by testing the curve of DC motor internal resistance and back-EMF coefficient which changes with the motor current.
并用含转子角转速的观测估计值算出转子角转速，实现了无速度传感器控制。
The rotor angular velocity is calculated with the observed estimations, including the rotor angular velocity, to realize the speed sensorlesss control.
在异步电机控制基础上 ，利用扩展卡尔曼滤波器将转子转速看成系统的一个状态量 ，根据定子侧可以测量的电流、电压值 ，逐步估计出转子转速 ，为研制无速度传感器控制打下基础。
The rotor speed can be tacken as a state variable of the system by using the Extended Kalman Filter, which based on the vector control of an asynchronous motor.
在异步电机控制基础上 ，利用扩展卡尔曼滤波器将转子转速看成系统的一个状态量 ，根据定子侧可以测量的电流、电压值 ，逐步估计出转子转速 ，为研制无速度传感器控制打下基础。
The rotor speed can be tacken as a state variable of the system by using the Extended Kalman Filter, which based on the vector control of an asynchronous motor.
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