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Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems

机译:基于滑模观测器的非线性系统故障重构

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This paper presents a precision fault reconstruction scheme for a class of nonlinear systems involving unknown input disturbances. First, using the coordinate transformation algorithm, the disturbances and faults of the system are fully decoupled. Therefore, it is possible to eliminate the influence of disturbances to the system, namely, better disturbances robustness. On this basis, the design of a sliding mode state observer makes the most genuine reconstruction realizable, instead of estimation of faults. Furthermore, with the equivalent principle of sliding mode variable structure, the precision reconstruction of arbitrary nonlinear faults is achieved. Finally, the applications of fault reconstruction in a third-order nonlinear theoretical model with disturbances and in a single-link robot system, respectively, have demonstrated the validity of the proposed scheme.
机译:本文提出了一种针对未知输入干扰的非线性系统的精确故障重构方案。首先,使用坐标变换算法,将系统的干扰和故障完全解耦。因此,可以消除干扰对系统的影响,即,更好的干扰鲁棒性。在此基础上,滑模状态观测器的设计可以实现最真实的重建,而不是估计故障。此外,利用滑模变结构的等效原理,实现了任意非线性故障的精度重构。最后,故障重构分别在带有扰动的三阶非线性理论模型和单链接机器人系统中的应用,证明了该方案的有效性。

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