Closed-loop algorithm for the detection and estimation of harmonic signals and its application 谐波信号的闭环检测和估计算法及其应用
The type of BP neural network instead of the closed-loop Kalman filter in the initial alignment can keep the error small, and implement the function of estimation and alignment in the inertia navigation. This filtering structure can provide distinct advantages. 采用BP网络替代初始对准系统中的闭环卡尔曼滤波器,可以确保系统的误差状态始终为小量,实现了惯导初始对准中的滤波与校正功能。
The open-loop and closed-loop simulation results show that this flux estimator has very high accuracy. Furthermore, large perturbations of stator and rotor resistances have few influences on estimation results. The novel flux estimator shows stronger disturbance-rejecting capability than the traditional ones. 开环和闭环的仿真结果表明,该估计器具有相当高的精度,并且在定转子电阻大幅度摄动时,估计结果几乎不受影响,显示出比传统的磁链估计器更强的抗扰动能力。
Self-tuning of PID Parameters in Closed-loop Based on Transfer Function Estimation 基于传递函数估计的闭环PID参数自整定
An EKF for closed-loop speed estimation of induction motor based on noise model identification by using genetic algorithms 基于遗传算法辨识噪声模型的异步电机闭环卡尔曼速度估计
By introducing nonlinear damping term, it is proved that all signals in the closed-loop system are globally stable, and the tracking error and the parameter ( estimation) error converge to zero. 通过引入非线性阻尼项,保证了闭环系统的所有信号都是全局稳定的,而且跟踪误差及参数估计误差均收敛于零。
It is proved that the proposed adaptive robust fuzzy control algorithm can guarantee uniform boundedness of all the signals in the closed-loop system and the estimation of tracking error is proven to converge to a small neighborhood of the origin. 所设计的自适应鲁棒模糊控制算法保证了闭环系统的所有信号是一致有界的并且跟踪误差的估计值收敛到一个小的零邻域内。