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。
Because classical PI controllers were used, the structure of the sensorless vector control was very simple.
在该无传感器矢量控制系统中，由于采用了经典的PI调节器，使控制系统更为简单。
This paper presents a new sensorless vector control method for induction motor (IM) drive at very low speeds.
本文提出了一种新型极低速异步电机无速度传感器矢量控制方法。
Sensorless vector control with autotuning provides 200 percent starting torque and advanced low-speed torque control.
带有自动调谐的无速度传感器矢量控制技术提供200%的启动力矩和高级低速力矩控制。
A sensorless vector control method for permanent magnet synchronous motor (PMSM) drive at very low speed was presented.
介绍了一种极低速段永磁同步电机无速度传感器矢量控制方法。
In a speed sensorless vector control system, the precision of speed estimation is relied on the precision of motor parameter.
在无速度传感器矢量控制系统中，转速估算的精度在很大程度上依赖于电机参数。
The speed sensorless vector control system was established based on the fundamental equations of induction motor for vector control.
以异步电机矢量控制的基本方程序为基础，构建了一个无速度传感器矢量控制系统。
Nowadays, the speed sensorless vector control system of induction motor is one of the hot topics in the field of electric drive system.
无速度传感器异步电机矢量控制系统是目前电气传动系统中研究热点之一。
The speed sensorless vector control of induction motor technology enhances the reliability of AC driving system, and reduces the realization cost.
异步电机无速度传感器矢量控制技术提高了交流传动系统的可靠性，降低了系统的实现成本。
Traditional speed identification methods for sensorless vector control of induction motors are inaccurate due to external disturbances and model errors.
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。
In this thesis, a slid frequency vector control system and a speed sensorless vector control system based on reactive power are investigated and analyzed.
本文研究分析了转差频率型矢量控制和基于无功功率的无速度传感器矢量控制。
A practical method of designing speed-adjustable system of sensorless vector control which base on PLC hierarchical intelligent control is proposed in this paper.
本文提出了一种实用的基于PL C分级递阶分布式控制的多电机无速度传感器矢量控制调速系统设计的新方法。
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 accuracy of the rotor speed estimation in speed sensorless vector control system of induction motor under load is sensitive to parameter errors of the internal machine model.
在感应电动机无速传感器矢量控制系统中，在负载条件下转子速度估计的精确度对电机内部模型参数误差非常敏感。
Because of requiring no speed detecting devices, this method is effective, simple and practical conception for the electrical parameter measurement of sensorless vector control system.
该方法不需要速度检测元件，从而为无速度传感器矢量控制系统的电气参数测试提供了一种有效、可行的方案。
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.
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。
The software has been programmed with C. Sensorless PMSM dual close-loop vector control with feedback of speed and current are realized.
软件采用C语言编写，实现了无位置传感器控制算法及转速和电流双闭环矢量控制；
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。
A sensorless control strategy for permanent magnet synchronous motors is presented based on the measurement and observation of stator current, voltage and flux vector.
根据测量和观测的定子电流、电压和磁链，提出了一种永磁同步电动机无传感器控制方案。
Based on vector control system of Bearingless Permanent Magnet Synchronous Motor (BPMSM), a speed-sensorless control strategy using Extended Kalman Filter (EKF) was presented.
基于无轴承永磁同步电机的矢量控制系统，提出了采用扩展卡尔曼滤波器实现无速度传感器运行的控制策略。
Based on vector control system of Bearingless Permanent Magnet Synchronous Motor (BPMSM), a speed-sensorless control strategy using Extended Kalman Filter (EKF) was presented.
基于无轴承永磁同步电机的矢量控制系统，提出了采用扩展卡尔曼滤波器实现无速度传感器运行的控制策略。
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