In this paper, based on output residuals, an efficient adaptive state estimation approach is presented for linear time-invariant discrete system.
本文针对线性定常离散系统提出了一种有效的基于输出残差的自适应状态估计方法。
To deal with the unstable problem of the adaptive speed observer using pole-placement technique, a full-order adaptive state observer is created and a speed identification law is proposed based on the observer.
针对采用极点配置的自适应速度观测器存在不稳定区域的问题,建立了全阶自适应状态观测器并给出了观测器的速度辨识律。
This paper presents a novel full-order adaptive state observer.
建立了一种新型的全阶自适应状态观测器,提出了基于观测器的速度和定子电阻辨识方案。
The authors analyze the influence in vector controlled induction machine caused by parameter variation and main flux saturation affects speed estimation of adaptive state observer.
通过MATLAB/SIMULINK仿真系统,建立静止坐标系下考虑磁饱和的感应电动机模型和矢量控制系统模型,并通过改变电机参数,比较分析参数变化及磁饱和效应对自适应状态观测器速度估计的影响。
A designing scheme of the nonlinear adaptive state observer is proposed for a class of systems which satisfy the Lipschitz conditions and have unknown parameters.
针对一类满足Lipschitz条件的带有未知参数的非线性系统,提出了一种非线性自适应状态观测器的设计方法,并将其应用到控制系统的故障诊断中。
Aiming at a kind of nonlinear closed-loop stable systems,a robust fault diagnosis method based on adaptive-fuzzy state observer and neural network learning structure is presented under external disturbance and internal system parameter error,the adaptive-fuzzy systems is adopted to repair nonlin- ear parts and RBF neural network is designed to track and diagnose faults.
针对一类非线性闭环稳定系统,在考虑噪声干扰和系统参数不确定误差条件下,用自适应模糊系统进行非线性补偿,提出了一种基于自适应模糊状态观测器实现状态观测和故障检测,再由 RBF 神经网络故障逼近器实现故障在线跟踪的鲁棒故障诊断方法。