article · International Journal of Adaptive Control and Signal Processing
ABSTRACT This work investigates a fault detection strategy for an active suspension system modeled through a Takagi Sugeno (T S) fuzzy representation. The quarter‐car configuration is adopted to describe the vertical dynamics under mass variations and road disturbances. A dedicated observer is designed to estimate the system states together with the fault signal, and its gains are obtained from linear matrix inequality (LMI) conditions ensuring an disturbance‐attenuation level. A residual‐based indicator is then used to determine the presence of a fault. Simulation results show that the method provides reliable detection performance and remains robust with respect to parameter changes and external excitations.
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DOI: 10.1002/acs.70082
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