Robust fault detection filter design for uncertain neutral systems with time delays: A case study of two-stage recycle reactors
This study introduces a robust fault detection filter (RFDF) for uncertain neutral-type systems with time delays in both state variables and their derivatives. Such systems are frequently encountered in manufacturing processes, where delays and parametric uncertainties can significantly impact system reliability and efficiency. The proposed method addresses the simultaneous challenges presented by unknown inputs and parameter uncertainties. A Lyapunov–Krasovskii functional is employed to derive sufficient conditions for ensuring the asymptotic stability of the estimation error dynamics. The design problem is formulated as a convex optimization problem solved via linear matrix inequalities. A new fault detection scheme has been developed comprising three key components: a model-based fault detection filter, a reference residual generator operating under nominal conditions, and a resilient residual generator that is impervious to disturbances yet responsive to faults. An H∞ optimization criterion is applied to maximize fault sensitivity while minimizing the effect of unknown disturbances. The effectiveness of the proposed RFDF is validated through simulation of a two-stage chemical reactor system subject to neutral time delays and recycle streams. The results demonstrate the proposed filter’s ability to detect actuator and sensor faults under uncertain conditions, confirming its robustness and effectiveness.
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