搜索资源列表
Estimation-in-Induction-Machines
- This a complete implemntation procedure fir state estimation in Induction motor-This is a complete implemntation procedure fir state estimation in Induction motor
QuadRotor_MA8.2
- MB8四旋翼自动驾驶仪的源码，包括姿态采集，状态估计以及控制输出。不推荐直接使用，但是可以作为学习-MB8 four rotor autopilot source, including posture acquisition, state estimation and control output. Not recommended for direct use, but can be used as learning
StateEST_Kestrel
- c++的卡尔曼状态估计程序，程序可以直接使用。来源于Ka的控制器。-c++ Kalman state estimation, the program can be used directly. Ka from the controller.
My-understanding-of-control
- 飞机姿态算法。从这篇文章是我尝试的飞行器姿态检测采用四元数方法,然后利用卡尔曼滤波算法,并尝试卡尔曼滤波器耦合的多个状态变量可以是一个复杂的过程,线性系统状态估计进行了简单的解耦,将最优估计的态度和最优估计陀螺漂移,通过这种方式,可以通过直观的方法来调整参数的两个部分。-Aircraft attitude algorithm.From this article is my attempt to spacecraft attitude detection by using the quaterni
380A-A
- 实现AC升压功能，电线阻值估算，系统工作状态检测，以太网通讯的功能。-Realize AC booster function, the wire resistance estimation, system working state detection, and Ethernet communication function.
BMS SOC SOH
- In this paper, a typical BMS block diagram has been proposed using various functional blocks. The state of charge(SOC) estimation has been implemented using Coulomb counting and open circuit voltage methods thereby eliminating the limitation of the
鍙屽崱灏旀浖SOC浼拌
- 锂电池荷电状态(SOC)的精确估计一直是电池管理系统的核心任务之一。电流传感器中存在非零均值的电流漂移噪声,这些噪声会造成不可避免的估计误差。为减少电流漂移噪声对估算造成的不利影响,提出了联合扩展卡尔曼滤波法,以Thevenin模型为锂电池等效电路模型,将电流漂移值作为状态变量与电池SOC进行同步预测。实验和仿真结果表明,该方法能有效抑制电流漂移噪声,提高估算精度。(The accurate estimation of the charge state (SOC) of lithium batt