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Kalman
- The Extended kalman filter (EKF) has been found wide application in the sensorless control of induction motor (IM) because of its good steady and dynamic behaviour,disturbance resistance, and fast convergence. This paper presents a novel speed sensor
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- This paper proposes an exact (Kalman-like) observer for the simultaneous state and parameter estimation in asynchronous motors - including speed and resistant torque estimation -, as well as a simulation study of its use under an estimate-based
Paper-1-Sebirien-2011
- Speed & Flux estimation by Extended Kalman Filter for Sensorless Direct Torque Control of Saturated Induction Machine
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- 卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。-Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on
A-simple-and-robust-Speed-Tracking-Control-of-PMS
- 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 estim
Extended-Kalman-Filter-Based-Speed
- 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 estim
Extended-Kalman-Filter-Based-Speed
- 无位置传感器的卡尔曼滤波的估算方法，一篇文献，适用于基于dsp开发的pmsm电机控制-Extended Kalman Filter Based Speed
SENSORLESS_VECTOR_CONTROL_OF_BLDC_USING
- This Paper mainly deals with the implementation of vector control technique using the brushless DC motor (BLDC). Generally tachogenerators, resolvers or incremental encoders are used to detect the speed. These sensors require careful mounting and
estimation-extended-Kalman-filter
- 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 K
optical-flow-navigation
- 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