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首页> 外文会议>Proceedings of the 34th 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在连续系统参数突变检测中的理论与应用

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摘要

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：本文提出了一种用于检测连续系统中参数快速变化的双移动窗口状态观测器的特殊结构。作为状态观测器，它没有应用渐近估计器（如Kalman滤波器），而是使用积分观测器，它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向量的精确值。本文提出的一个相当新的概念是观察者在时域中使用双移动窗口。这意味着它由两个具有共同边缘的彼此耦合的窗口组成。间隔为[t-2T，t-T]的左窗口的右边缘连接到间隔为[t-T，t]的右窗口的左边缘。双重观察者在两个窗口中对输入/输出信号进行不同的测量，并同时重建左窗口z_T（t-T）中状态的最终值和右窗口Z_0（t-T）状态中的初始值。如果系统参数恒定且已知，则两个状态的值都相同Z_T（t-T）= Z_0（t-T）。如果在系统中在瞬间（t_A = t-T）发生参数的突然变化（故障），则状态矢量的某些元素将发生阶跃变化，并且将检测到z_T（t-T）≠z_0（t-T）。这样可以在系统的级联结构中定位故障参数。

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