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An adaptive observer-based fault detection and diagnosis for nonlinear systems with sensor and actuator faults

机译:具有传感器和执行器故障的非线性系统的基于观测器的自适应故障检测和诊断

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A novel fault diagnose method is presented for the nonlinear systems with coupled fault and disturbance via adaptive observer technique. Residual matrix is used in this paper to describe the values of unknown inputs. Instead of adding robustness on the estimate states, this novel observer structure focuses on eliminating the disturbance signal on the residual matrix by using vector unitization so that the residual matrix can be approached precisely. The adaptive law is obtained by using Lyapunov stability theory. Finally, an application on second order system is included in the end of this paper to show the effectiveness of the proposed strategy.
机译:通过自适应观测器技术,提出了一种具有故障和干扰耦合的非线性系统故障诊断的新方法。本文使用残差矩阵来描述未知输入的值。这种新颖的观察器结构不是在估计状态上增加鲁棒性,而是着重于通过使用矢量单位化消除残差矩阵上的干扰信号,从而可以精确地逼近残差矩阵。自适应律是利用李雅普诺夫稳定性理论获得的。最后,本文最后包含了在二阶系统上的应用,以证明该策略的有效性。

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