A novel speed identification scheme was proposed based on an adaptive flux observer.
提出了一个基于自适应磁链观测器的速度辨识方案。
The paper presents a novel speed identification scheme based on the BP Neural Network for the DTC motor drive system.
针对异步电动机直接转矩控制系统，基于三相异步电机方程提出一种新型的采用人工神经网络辨识电机转速的方法。
The results show that the control scheme and identification method are of better speed identification performances and control effects.
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。
Effective speed identification in low speed and standstill area is an important item for speed sensorless control of asynchronous motor.
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。
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 the process of rotor speed identification, the variable parameters PI mechanism, which has good dynamic and static performance and robustness are used.
在转速辨识过程中，应用了具有较好动态性能和鲁棒性的变参数PI算法。
The fundamental principle of speed identification for induction motors is introduced. The drawbacks of the usual method of speed identification is pointed out.
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。
Aming at the local feature of friction, a new type and fast speed identification algorithm is proposed to guarantee its implementation on chip or embedded processor.
并且针对摩擦力的局部性特点，提出了一种新颖、快速的辨识算法，以保证在芯片或嵌入式处理器上实施。
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.
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。
According to the reduced order model of induction motor, a model reference adaptive speed identification algorithm is obtained from measured motor stator voltages and currents.
根据异步电机的数学模型，利用易于检测的电机定子电压和电流得到电机转速的模型参考自适应辨识算法。
The results show that the speed identification with RLS algorithm has low cost and high reliability and robustness, and the damping control strategy proposed is effective and feasible.
结果表明，利用递推算法进行转速辨识成本低，可靠性、鲁棒性高；提出的阻尼控制策略有效可行。
KJ271 underground staff positioning system with the features of far transmission distance, high flow, low-power, high-speed identification of mobile identity, fast identification and stability.
KJ271矿用人员定位系统具有传输距离远、大流量、超低功耗、高速识别移动标识物、快速的识别及其稳定的特点。
KJ271 underground staff positioning system with the features of far transmission distance, high flow, low-power, high-speed identification of mobile identity, fast identification and stability.
KJ271矿用人员定位系统具有传输距离远、大流量、超低功耗、高速识别移动标识物、快速的识别及其稳定的特点。
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