Search - kalman speed estimation

Search - kalman speed estimation - List

[File Format] StudytheApplicationofMonteCarloParticleFilterAlgor DL : 0: 随着这些年计算机硬件水平的发展, 计算速度的提高, 源自序列蒙特卡罗方法的蒙特卡罗粒子滤波方法的应用研究又重新活跃起来。本文的这种蒙特卡罗粒子滤波算法是利用序列重要性采样的概念, 用一系列离散的带权重随机样本近似相应的概率密度函数。由于粒子滤波方法没有像广义卡尔曼滤波方法那样对非线性系统做线性化的近似, 所以在非线性状态估计方面比广义卡尔曼滤波更有优势。在很多方面的应用已经逐渐有替代广义卡尔曼滤波的趋势。-With the years the level of computer hardware development, the speed of calculation, derived from the sequence of the Monte Carlo method, Monte Carlo particle filter method applied research has once again become active again. In this paper, this kind of Monte Carlo particle filter is to use the concept of sequence of the importance of sampling, using a series of discrete random sample with weights similar to the corresponding probability density function. Since the particle filtering method is not as broad as Kalman filtering method for nonlinear system to do linear approximation, nonlinear state estimation in the generalized Kalman filter than an advantage. Applications in many areas has been gradually generalized Kalman filter has an alternative trend.
Update : 2025-02-17 Size : 516kb Publisher : 阳关
[Other] IEEE DL : 0: Speed estimation of an induction motor drive using an optimized extended Kalman filter
Update : 2025-02-17 Size : 1.03mb Publisher : Tuong Quang
[Other] sdarticle_2 DL : 0: scince directe: Speed and rotor flux estimation of induction machines using a two-stage extended Kalman filter
Update : 2025-02-17 Size : 778kb Publisher : LAZHAR
[matlab] kalman DL : 0: kalman滤波针对二阶系统的位置速度估计适合于初学kalman滤波算法的朋友代码含有详细解释-kalman filter for the position of second-order system is suitable for beginners speed estimation kalman filter algorithm friend code contains detailed explanations
Update : 2025-02-17 Size : 1kb Publisher : 李楠
[Industry research] 470 DL : 0: 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 speed control scheme. The simulation setup includes the model of a PWM-controlled voltage source inverter, and the results are quite promising.
Update : 2025-02-17 Size : 298kb Publisher : aa
[Program doc] Paper-1-Sebirien-2011 DL : 0: Speed & Flux estimation by Extended Kalman Filter for Sensorless Direct Torque Control of Saturated Induction Machine
Update : 2025-02-17 Size : 226kb Publisher : Zegai Mohamed Amine
[Other] Direct-torque-control-with-ANN-speed-controller-b DL : 0: Speed Estimation Using Extended Filter Kalman for the Direct Torque Controlled Permanent Magnet Synchronous Motor (PMSM)
Update : 2025-02-17 Size : 629kb Publisher : badro
[Documents] 0999 DL : 0: 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 system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.
Update : 2025-02-17 Size : 167kb Publisher : lili
[Industry research] estimation-extended-Kalman-filter DL : 0: 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.
Update : 2025-02-17 Size : 1.15mb Publisher : 周
[matlab] sknuujna DL : 0: 部分实现了追踪测速迭代松弛算法，应用小区域方差对比，程序简单，本科毕设要求参见标准测试模型，多目标跟踪的粒子滤波器，各种kalman滤波器的设计，包括广义互相关函数GCC时延估计。- Partially achieved tracking speed iterative relaxation algorithm, Application of small area variance comparison, simple procedures, Undergraduate complete set requirements refer to the standard test models, Multi-target tracking particle filter, Various kalman filter design, Including the generalized cross-correlation function GCC time delay estimation.
Update : 2025-02-17 Size : 7kb Publisher : xgjjjw
[matlab] qcnrmgyz DL : 0: matlab程序运行时导入数据文件作为输入参数，利用贝叶斯原理估计混合logit模型的参数，通过虚拟阵元进行DOA估计，实现串口的数据采集，matlab编写的元胞自动机，各种kalman滤波器的设计，部分实现了追踪测速迭代松弛算法，有CDF三角函数曲线/三维曲线图。-Import data files as input parameters matlab program is running, Bayesian parameter estimation principle mixed logit model, Conducted through virtual array DOA estimation, Achieve serial data acquisition, matlab prepared cellular automata, Various kalman filter design, Partially achieved tracking speed iterative relaxation algorithm, There CDF trigonometric curve/3D graphs.
Update : 2025-02-17 Size : 6kb Publisher : zhnfm
[matlab] main1 DL : 0: 基于状态估计的kalman滤波在位移速度追踪上的应用，以平均估计误差为性能指标-Based on state estimation kalman filter in the displacement speed track, with an average estimation error performance index
Update : 2025-02-17 Size : 1kb Publisher : 张露
[Other Embeded program] EKFSPEED DL : 0: 扩展卡尔曼异步电机转速估计 matlab 仿真模型-Extended Kalman asynchronous motor speed estimation matlab simulation model
Update : 2025-02-17 Size : 12kb Publisher : chenchengxu
[Software Engineering] optical-flow-navigation DL : 0: 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
Update : 2025-02-17 Size : 862kb Publisher : lou tayzan
[matlab] Desktop DL : 0: 编写卡尔曼滤波算法，以匀速直线运动为例，估计运动轨迹和运动速度，以及估计值与真真实值的偏差(kalman filter algorithm,using linear uniform motion as example, eslimate the position.speed,and giving the deviation of estimation value and real value)
Update : 2025-02-17 Size : 1kb Publisher : xiaomolly
[matlab] XT7_44 DL : 0: 本程序主要针对卡尔曼滤波程序进行仿真，主要为目标运动的轨迹估计，在观测信号中含有距离和速度信息！程序正确完整，适合了解卡尔曼的同事学习交流！(This program is mainly aimed at the kalman filter program simulation, mainly for the target movement trajectory estimation, in the observation signal contains distance and speed information! The program is correct and complete, it is suitable for the colleague of kalman to learn to communicate!)
Update : 2025-02-17 Size : 1kb Publisher : hrbeuguojun
[Industry research] Particle Swarm Optimization of an Extended Kalman Filter for speed and rotor flux estimation of an induction motor drive DL : 0: 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.
Update : 2019-01-08 Size : 650.15kb Publisher : pudn0507@yahoo.fr