This paper discusses the integration of hydraulic calculation and GIS, and then brings up the model network creation algorithm and the flux induction algorithm.
本文讨论水力计算与GIS的集成方法，并提出了模型网络生成算法和流量归结算法。
In this paper the 3 dimensional finite element analysis for transverse flux induction heating (TFIH) of continuously moving thin steel strip for galvanizing line are presented.
对镀锌生产线上连续运动的薄钢板的横向磁通感应加热过程应用了三维有限元分析。
With neural network the eddy current and temperature distribution prediction on the continuously moving thin conducting strips in transverse flux induction heating (TFIH) equipment is presented.
随着神经网络的涡电流和温度分布的预测上不断移动的薄导电带横向磁通感应加热(TFIH)的设备。
Then a voltage vector control scheme for induction motors based on constant stator flux is presented and it's nonlinear limitations are analyzed.
结合定子磁链控制，提出异步电机基于定子磁链幅值恒定的电压矢量控制方案，并对该方案的非线性局限进行了分析。
The stator flux-oriented direct torque control is widely used in high performance motion control of induction motors.
定子磁场定向的直接转矩控制逐渐被广泛应用于高性能异步电机调速系统。
This paper obtains a new speed-sensorless direct torque control scheme for induction motor based on calculating the stator flux vector increment to determine the stator reference voltage.
在直接转矩控制理论基础上，推导出一种基于定子磁链矢量增量来确定定子参考电压矢量的新型无速度传感器直接转矩控制方案。
The adaptive flux controller and speed controller based on neuron are presented for the induction motor vector control.
提出了基于神经元的用于感应电机矢量控制的自适应磁链和转速控制器。
In vector control of induction motor, the key problem is to estimate rotor flux accurately.
异步电机矢量控制的关键问题在于精确地估计转子磁链。
The rotor flux orientation method of induction motors is based on the feedback of rotor speed and position.
异步电机转子磁场定向控制依赖于电机转子角速度的反馈和位置测量。
The sensorless of induction motor field-oriented control employing stator voltages and currents has difficulty in estimating rotor flux in the low-speed range.
在低速范围内，对无传感器感应电动机进行矢量控制时用定子电压和电流推算转子磁通是比较困难的。
Two problems must be solved in the speed sensorless Field Oriented Control of induction motor drive: the speed estimation and rotor flux observation.
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。
Based on the two-axis theory of the induction motor and a state equation about the rotor fluxes and stator currents, a new induction motor flux observer is derived.
本文在交流电机双轴理论的基础上，以异步电动机转子磁通和定子电流为状态的状态方程为模型，推导出一种新型异步电动机磁通观测器。
The common principle is the use of the induction of an electromotive force by the variation of the magnetic flux through a coil.
一般原理均是使用通过线圈的磁通量变化感应的电动势。
In order to resolve the limitation of rotor flux oriented technology, the paper designs an induction motor parameter off-line identification system.
为了解决转子磁场定向技术局限性，本文设计一套交流感应电动机参数离线辨识系统。
In an induction motor drive system with field oriented control, the key to improve its performances is accurate flux estimate.
在磁场定向控制的异步电机驱动系统中，精确的磁链估计是提高系统性能的关键。
The simulation results show that the models can instantaneously and accurately estimate the rotor flux magnitude of an induction motor under a variety of load conditions.
仿真结果表明，这两种模型能够快速准确地估计在负载变化条件下感应电机的转子磁链。
Speed control of direct torque controlled(DTC)induction motor drives depends on effectively establishing the stator flux.
直接转矩控制的感应电动机的速度控制需要有效地建立定子磁 通。
The measurement and observation of flux in induction motor is a key problem in vector control system.
异步电功机的磁通检测和观测是矢量控制系统中的关键问题。
When the air-gap flux of the induction motor is saturated, the conventional adaptive speed estimator cannot avoid the influence of the non-linear inductance variation.
当交流电机气隙磁通发生饱和时，常规的自适应速度估算法无法避免由于电感量的非线性变化带来的影响。
In an induction motor field orientation vector control system, the rotor time constant may be deviated due to motor temperature variation and flux saturation.
本文在异步电动机矢量控制系统中提出了一种基于转子磁场定向的转子电阻自适应辨识方法。
Based on the analysis of the mathematical model of induction motor, this paper addresses the problem of tracking control of stator flux and torque.
本文在综述感应电动机的控制方法和详细分析感应电动机数学模型的基础上，研究了定子磁链和转矩的跟踪控制问题。
An improved rotor flux estimator based on voltage model was proposed for speed sensorless field-oriented vector controlled induction motor drives.
针对感应电机无速度传感器磁场定向控制系统，提出一种基于电压模型的改进转子磁链观测方法。
According to the fundamental equations induction motor for the field oriented control, a new rotor flux model combine with the merits of voltage model and current model is presented.
根据异步电机转子磁场定向控制的基本方程序，对直接磁场定向矢量控制系统，设计了结合电压模型和电流模型优点的磁通观测器模型。
The adaptive flux observer can change its parameters in response to parameter changes of induction motor to ensure observation accuracy.
当电动机参数未知或发生变化时，观测器自动调整自身参数以确保观测精度。
A speed sensorless vector control system of induction motor with estimated rotor speed and rotor flux using a new reduced order extended Kalman filter is proposed.
提出一种估计异步电机转子速度和转子磁链的新型降阶推广卡尔曼滤波器算法，建立了基于此算法的异步电机无速度传感器矢量控制系统。
The authors analyze the influence in vector controlled induction machine caused by parameter variation and main flux saturation affects speed estimation of adaptive state observer.
在矢量控制感应电动机系统中，当电机参数发生变化，或出现磁路饱和时，将会影响速度控制的准确性，使速度观测器精度受影响。
In order to achieve a high performance of vector control for induction motor, the rotor flux must be estimated accurately.
为了实现高性能异步电动机矢量控制，必需解决转子磁链的准确估计。
Magnetic induction intensity, magnetic flux, Gauss theorem of magnetic field, Biot-Savar law, magnetic field of moved charge.
磁感应强度，磁通量，磁场的高斯定理。毕？萨定律，运动电荷产生的磁场。
The intelligent PSD controllers using a single neuron are used to control rotor speed and rotor flux in a AC speed control system by decoupling control of the induction motor.
本文针对感应电动机解耦控制，采用单神经元智能PSD算法作速度调节器和磁链调节器，构成感应电动机智能PSD调速系统。
The intelligent PSD controllers using a single neuron are used to control rotor speed and rotor flux in a AC speed control system by decoupling control of the induction motor.
本文针对感应电动机解耦控制，采用单神经元智能PSD算法作速度调节器和磁链调节器，构成感应电动机智能PSD调速系统。
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