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Description: 步进电机的MATLAB仿真程序，采用了卡尔曼滤波，对定子电流进行估计，并估算出转子的位置和速度-Continuous time extended Kalman filter simulation for two-phase step motor，Estimate the stator currents, and the rotor position and velocity, on the
basis of noisy measurements of the stator currents.
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Size: 2048 |
Author: 李健 |
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Description: scince directe:
Speed and rotor flux estimation of induction machines using a two-stage
extended Kalman filter
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Size: 796672 |
Author: LAZHAR |
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Description: An Extended Kalman Filter Approach to Rotor Time Constant Measurement in PWM Induction Motor Drives.rar
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Size: 669696 |
Author: chadi |
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Description: 通过测量非导通相的反电势波形，运用KALMAN滤波器，估计出转子的位置-By measuring the non-conduction phase of the BEMF waveform, using KALMAN filter, the estimated rotor position
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Size: 89088 |
Author: 王静 |
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Description: 卡尔曼滤波在四旋翼飞行器姿态测量中的应用-Kalman Filtering in four rotor aircraft attitude Measurement
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Size: 873472 |
Author: 小布 |
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Description: This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions
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Size: 571392 |
Author: axel |
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Description: This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions
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Size: 652288 |
Author: axel |
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Description: STM32 小型四轴飞行器程序，卡尔曼滤波，四元数解算.-STM32 small four axis aircraft program, kalman filtering, the quaternion algorithm.
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Size: 7808000 |
Author: 尹绘波 |
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Description: 四旋翼飞行器，采用MSP430F149，通过卡尔曼滤波实现自稳。其中包括陀螺仪MPU6505、地磁HMC5883L、以及OLED、24L01和EEPROM-Four-rotor aircraft, the use of MSP430F149, Kalman filter to achieve homeostasis. Including the gyroscope MPU6505, geomagnetic HMC5883L, and OLED, 24L01 and EEPROM
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Size: 185344 |
Author: WenjFu |
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Description: 针对小型无人机在无卫星导航信号条件下的导航问题, 结合光流及地标定位设计了使用摄像头、惯性测量器件、超声测距仪等传感器融合的无人机室内导航方法. 文章使用补偿角速率的光流微分法计算帧间像素点小位移, 并用前后误差算法提取精度较高的点, 避免像素点跟踪错误, 提高了光流测速的精度 对得到的光流场用均值漂移算法进行寻优, 得到光流场直方图峰值, 以此计算光流速度. 本文提出了无累积误差的连续地标定位算法, 实时测量无人机位置. 通过多速率卡尔曼滤波器对观测周期不一致的位置、速度信息进行最优估计. 在搭建的八旋翼无人机平台上试验, 将位置与速度测量结果分别与激光和PX4FLOW数据对比, 结果表明该导航方法可以有效抑制定位跳变与光流测量噪声误差, 给出精确的位置与速度估计.
-Problems for the Navigation satellite navigation signals in the absence of conditions, and in conjunction with optical flow landmark UAV design indoor navigation positioning method using the camera, inertial measurement device, an ultrasonic range finder sensor fusion article using the compensation angle computing optical flow rate of the inter-pixel differentiation small displacements, and extracted with high precision before and after the point of error algorithm, to avoid the tracking error pixel, improve the accuracy of optical flow speed optical flow field obtained for the mean shift algorithm optimization, the histogram peak optical flow, in order to calculate the optical flow velocity. in this paper, the landmark location algorithm continuously accumulated error is measured in real time the position of the UAV by multirate Kalman filter observation period inconsistent positions , optimal estimation speed information. tested on eight rotor UAV platform structures, the position a
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Size: 882688 |
Author: lou tayzan |
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Description: Rotor resistance and speed identification using extended Kalman filter and fuzzy logic controller for induction machine drive
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Size: 977920 |
Author: gacon
|
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Description: The paper deals with the application of the Extended Kalman Filter and the Extended Luenberger Observer
algorithms for the stator and rotor fault detection of the induction motor fed by PWM inverter. The induction motor
conditions are analyzed using estimated rotor and stator-winding resistance.
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Size: 1107968 |
Author: marwan_123
|
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Description: 电机的MATLAB仿真程序，采用了卡尔曼滤波，对定子电流进行估计，并估算出转子的位置和速度(Kalman filter is used in MATLAB simulation program to estimate the stator current and the rotor position and speed.)
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Size: 24576 |
Author: colinqd |
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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.
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Size: 665750 |
Author: pudn0507@yahoo.fr |
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