共查询到19条相似文献,搜索用时 156 毫秒
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在交流异步机数学模型的基础上,建立异步电机直接转矩控制系统。对电机状态值和测量值之间偏差进行反馈校正,并把反馈校正项与估计磁链的电机数学模型结合起来,建立含有闭环状态估计的误差补偿器的全阶磁链观测器;利用Matlab/Simulink构建全阶磁链观测器,对构建的模型进行离散仿真,得到定子磁链的仿真波形,验证了全阶磁链观测器的正确性。 相似文献
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异步电机无速度传感器矢量控制系统是目前研究的热点,本文采用一种闭环磁链观测器,即自适应状态观测器对转子磁链进行观测,与传统开环电压、电流模型相比,观测效果更好。在转子磁链观测的基础上,采用PI型自适应律,对转速进行了辨识。最后,通过Matlab仿真验证了本文给出的异步电机无速度传感器矢量控制系统的可行性,仿真结果表明该系统具有较好的动、静态性能,并具有一定的抗干扰能力。 相似文献
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本文介绍了异步电动机直接转矩控制的基本原理,提出了基于自适应全阶磁链观测器的速度估算方法,实现了无速度传感器的速度辨识.并应用Matlab/SimulinK软件对该系统进行了建模和仿真,仿真结果表明,该系统对电机定子磁链的观测精度高,转速估算准确,尤其在低速下能保持很高的性能. 相似文献
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本文介绍了异步电动机直接转矩控制的基本原理,提出了基于自适应全阶磁链观测器的速度估算方法,实现了无速度传感器的速度辨识。并应用Matlab/Simulink软件对该系统进行了建模和仿真,仿真结果表明,该系统对电机定子磁链的观测精度高,转速估算准确,尤其在低速下能保持很高的性能。 相似文献
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为提高异步电机直接转矩控制系统的低速性能,本文中提出了一种模糊控制和PI闭环校正磁链观测器相结合的控制方法。该方法采用PI闭环校正磁链观测器代替传统U-I模型,给磁链和转矩误差分级,用模糊控制代替传统滞环控制选择合适的电压矢量.为减少模糊控制规则和加快模糊推理,定义了定子磁链角映射。仿真结果表明,此方法能够提高磁链的观... 相似文献
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针对传统的直接转矩控制系统采用纯积分的电压模型作为磁链观测器,存在着误差积累以及直流偏移,导致电流和转矩的波动问题,提出了一种基于定子磁链的自适应全阶观测器的直接转矩控制系统,并实现了速度辨识。仿真实验表明:采用自适应磁链观测器具有较高的观测精度和较好的鲁棒性。 相似文献
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A novel control technique for sensorless vector control operation of a double-inverter-fed wound-rotor induction motor is presented. Two current controllers control the stator-side currents based on a vector control algorithm. Another V/f-type flux and frequency controller controls the rotor-side frequency directly. A novel frequency command profile for the rotor-side controller is suggested to make this sensorless drive operation reliable and reduce dependence on motor parameters at any rotor speed. A complete inverter power flow analysis is presented to show that the drive can deliver full torque from 0- to 2-p.u. speed for either direction of rotation. Thus, double the rated power can be extracted from the induction motor without overloading it. The proposed algorithm allows the drive to start on-the-fly without any rotor transducer. Results from a prototype 50-hp drive are presented. 相似文献
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Myoung-Ho Shin Dong-Seok Hyun Soon-Bong Cho Song-Yul Choe 《Power Electronics, IEEE Transactions on》2000,15(2):312-318
This paper proposes a programmable low pass filter (LPF) to estimate stator flux for speed sensorless stator flux orientation control of induction motors. The programmable LPF is developed to solve the DC drift problem associated with a pure integrator and a LPF. The pole of the programmable LPF is located far from the origin in order to decrease the time constant with the increasing speed. In addition, the programmable LPF has a phase/gain compensator to estimate exactly stator flux in a wide speed range. Consequently, the drift problem is much improved and the stator flux is exactly estimated in the wide speed range. The validity of the proposed programmable LPF is verified by speed sensorless vector control of a 2.2 kW three-phase induction motor 相似文献
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Young Ahn Kwon Sung Hwan Kim 《Industrial Electronics, IEEE Transactions on》2004,51(3):545-550
Various control algorithms have been proposed for the speed-sensorless control of an induction motor. These sensorless algorithms are mainly based on the speed feedback with the flux and speed estimations. This paper proposes a new scheme for the speed-sensorless control of an induction motor. The proposed scheme is based on the current estimation without the flux and speed estimations, in which the controlled stator voltage is applied to the induction motor so that the difference between stator currents of the mathematical model and motor may be forced to decay to zero. The performance of the proposed scheme is verified through simulation and experiment. 相似文献
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在高性能的交流异步电机矢量控制系统中,速度传感器的高成本和困难的安装条件限制了交流异步电动机的应用,因此无速度传感器的控制技术成为发展趋势。本文阐述了以数学模型的开环估计转速控制算法为核心,采用ADSP-BF518芯片设计了三相交流异步电动机无速度传感器矢量控制系统,具有一定的实用价值。 相似文献
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Tsuji M. Shuo Chen Izumi K. Yamada E. 《Industrial Electronics, IEEE Transactions on》2001,48(1):185-194
This paper presents a sensorless vector control system for general-purpose induction motors, which is based on the observer theory and the adaptive control theories. The proposed system includes a rotor speed estimator using a q-axis flux and stator resistance identifier using the d-axis flux. The advantages of the proposed system are simplicity and avoidance of problems caused by using only a voltage model. Since the mathematical model of this system is constructed in a synchronously rotating reference frame, a linear model is easily derived for analyzing the system stability, including the influence of the observer gain, motor operating state, and parameter variations. In order to obtain stable low-speed operation and speed control accuracy, an algorithm for compensating for the deadtime of the inverter and correcting the nonideal features of an insulated gate bipolar transistor was developed. The effectiveness of the proposed system has been verified by digital simulation and experimentation 相似文献
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Baburaj Karanayil Muhammed Fazlur Rahman Colin Grantham 《Industrial Electronics, IEEE Transactions on》2007,54(1):167-176
This paper presents a new method of online estimation for the stator and rotor resistances of the induction motor for speed sensorless indirect vector controlled drives, using artificial neural networks. The error between the rotor flux linkages based on a neural network model and a voltage model is back propagated to adjust the weights of the neural network model for the rotor resistance estimation. For the stator resistance estimation, the error between the measured stator current and the estimated stator current using neural network is back propagated to adjust the weights of the neural network. The rotor speed is synthesized from the induction motor state equations. The performance of the stator and rotor resistance estimators and torque and flux responses of the drive, together with these estimators, are investigated with the help of simulations for variations in the stator and rotor resistances from their nominal values. Both resistances are estimated experimentally, using the proposed neural network in a vector controlled induction motor drive. Data on tracking performances of these estimators are presented. With this speed sensorless approach, the rotor resistance estimation was made insensitive to the stator resistance variations both in simulation and experiment. The accuracy of the estimated speed achieved experimentally, without the speed sensor clearly demonstrates the reliable and high-performance operation of the drive 相似文献
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感应电机高动态控制的困难性在于感应电机是一个高阶、非线性的复杂系统。异步电动机传统方法采用模型为基础的无速度传感器磁场定向控制,高性能矢量控制系统中需采用速度闭环控制。为了提高异步电机无速度传感器矢量控制的控制性能,将其与矢量控制结合起来,组成一种基于TMS320F2812的无速度传感器矢量控制系统。本文主要介绍了硬件实现其软件实现方法,并且通过MATLAB仿真验证了所提出方法的有效性使系统具有良好的动态性能以及稳定性。 相似文献