首页> 外文会议>IASTED International Conference on Modelling, Identification and Control >THE THEORY AND APPLICATION OF DOUBLE WINDOW EXACT STATE OBSERVER FOR DETECTION OF ABRUPT CHANGES IN PARAMETERS OF CONTINUOUS SYSTEMS
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THE THEORY AND APPLICATION OF DOUBLE WINDOW EXACT STATE OBSERVER FOR DETECTION OF ABRUPT CHANGES IN PARAMETERS OF CONTINUOUS SYSTEMS

机译:双窗口精确状态观测器的理论与应用,用于检测连续系统参数突变变化

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In this paper the special structure of double moving window state observer for detection of rapid changes in parameters in continuous system is presented. As the state observer it was not applied an asymptotic estimator (like Kalman Filter) but integral observer which can reconstruct the exact value of the state vector using input/output measurements on finite time interval window. The quite new concept presented in this paper is that the observer uses double moving window in time domain. It means that it consists of two windows coupled each other with common edge. The right hand side edge of the left window in interval [t-2T, t-T] is connected to the left hand side edge of right window which operates in the interval [t-T, t]. The double observer operates in both windows with different measurements of input/output signals and simultaneously reconstructs the final value of the state in the left window z_T(t-T) and the initial value of the state z_0(t-T) in the right window. If the system parameters are constant and known the values of the both states are the same z_T(t-T)= z_0(t-T). If in the system abrupt changes (faults) of parameters at the moment (t_A=t-T) occur then step changes in some elements of the state vector will happen and z_T(t-T) ≠ z_0(t-T) will be detected. It will enable localization of faulty parameter in cascade structure of the system.
机译:本文介绍了双移动窗口状态观测器的特殊结构,用于检测连续系统中的参数的快速变化。作为状态观察者,它未应用渐近估计器(如Kalman滤波器),而是可以使用有限时间间隔窗口上的输入/输出测量来重建状态矢量的精确值的积分观察者。本文呈现的相当新的概念是观察者在时域中使用双移动窗口。这意味着它由两个窗口互相耦合,具有共同的边缘。间隔左侧窗口的右侧侧边缘[T-2T,T-T]连接到右侧窗口的左侧边缘,该右侧窗口侧边缘在间隔[T-T,T]中操作。双观察者在两个窗口中操作,其中输入/输出信号的不同测量值,同时重建左窗口z_t(t-t)中的状态的最终值,以及右窗口中的状态z_0(t-t)的初始值。如果系统参数是常量并且已知两个状态的值是相同的Z_T(T-T)= Z_0(T-T)。如果在系统突然发生的变化(T_A = T-T)发生的情况(T_A = T-T)发生时,则将发生状态矢量的一些元素中的步骤变化,并且将检测Z_T(T-T)≠Z_0(T-T)。它将在系统的级联结构中实现故障参数的定位。

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