Description: 基于感应电机的转子电阻预估计的无速度传感器的直接转矩控制技术。控制电机的一种很先进的控制方法。-Based on the induction motor rotor resistance of the pre-estimation of the speed sensorless direct torque control technique. Motor control a very advanced control methods. Platform: |
Size: 433152 |
Author:ligw |
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Description: Speed estimation of an induction motor drive using an optimized extended Kalman filter Platform: |
Size: 1076224 |
Author:Tuong Quang |
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Description: 异步电机的精确控制和速度辨识是交流传动系统中重要问题。在该仿真系统中，电机转速采用易于检测的电机定子电压和电流得到转速MRAS辨识算法来估算。由于速度辨识算法中电压模型的纯积分环节会引起的误差积累和漂移问题，采用改进积分型转子磁链估算模型来解决。-The precise control and the speed identification of AC motor are the very important issues on AC drive system.In this system, induction motor is controlled by the direct torque control, stator flux is estimated by u-n model observer that is effective in the full range of speed, motor speed is estimated by MRAS speed identification algorithm that is depended on the voltage and the current of motor stator easily detected. The modified integral rotor flux estimation model is used to solve the problem that the normal model can be affected by the error accumulation and drift of integral calculation in the voltage model of conventional speed identification algorithm. Platform: |
Size: 21504 |
Author:王晨 |
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Description: This paper describes a Model Reference Adaptive
System (MRAS) based scheme using a multilayer
Recurrent Neural Network (RNN) for online speed
estimation of sensorless vector controlled inductmon
motor drive.
Platform: |
Size: 11264 |
Author:chinni |
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Description: 定转子电阻在线辨识的感应电机转速估计方法Online identification of stator and rotor resistance of the induction motor speed estimation method-Online identification of stator and rotor resistance of the induction motor speed estimation method Platform: |
Size: 484352 |
Author:dd888 |
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Description: 基于异步电机的双闭环控制，包含磁链估算，速度环，转矩环控制-Containing flux estimation based on the dual closed-loop control of induction motor, the speed loop, the torque loop control Platform: |
Size: 10240 |
Author:成石 |
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Description: 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 the 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. Platform: |
Size: 205824 |
Author:sajitsanit |
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Description: The
estimation technique works well and the sensor less speed control
scheme can achieve fast transient response as good as that of the
induction motor with sensors and at the same time maintain a
wide speed control range. Platform: |
Size: 195584 |
Author:adel |
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Description: In this paper an approach to estimate the speed and
the stator flux linkage of a three Phase induction motor by
means of an algorithm using dSPACE is proposed. Emphasis
is given on reduction of the problem of saturation associated
with the pure integrator, while flux estimation. Speed is
estimated using a sensor (MOC7811) mounted at the motor
shaft. Experimental investigation is carried out on a 1 H.P.
motor, a digital inverter controller, an IGBT power module
for inverter/chopper and dSPACE Controller Board
(CP1104). Real time signals like three phase currents, PWM
Pulses, fixed DC link voltage and response of sensor
MOC7811 are the input parameters to the Dspace controller
board, and using these parameters stator flux and speed is
estimated. Platform: |
Size: 661504 |
Author:haimp |
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Description: 针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。-
Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate. Platform: |
Size: 1201152 |
Author:周 |
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Description: Simple Flux Regulation for Improving State
Estimation at Very Low and Zero Speed of a
Speed Sensorless Direct Torque Control of
Induction Motor Platform: |
Size: 3609600 |
Author:marwan_2 |
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Description: A novel method based on a combination of the Extended Kalman Filter (EKF) with Particle Swarm Optimization (PSO) to estimate the speed and rotor flux of an induction motor driveis presented. The proposed method will be performed in two steps. As a first step, the covariance matrices of state noise and measurement noise will be optimized in an off-line manner by the PSO algorithm. As a second step, the optimal values of the above covariance matrices are injected in our speed-rotor flux estimation loop (on-line).Computer simulations of the speed and rotor-flux estimation have been performed in order to investigate the effectiveness of the proposed method. Simulations and comparison with genetic algorithms (GAs) show that the results are very encouraging and achieve good performances. Platform: |
Size: 665750 |
Author:pudn0507@yahoo.fr |
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Search - induction motor speed estimation