Abstract

This paper presents an Active Fault Tolerant Control design applied to a riderless bicycle LPV model affected by additive sensor fault and measurement noise. Within the Active Fault Tolerant Control, the detection and diagnostic system is based on the estimations computed by a fault observer, used to determine a fault occurrence. The proposed algorithms, considered as the main contributions in this work, achieves noise-free estimations for the faults and state, in order to compute the fault indicator and control law, respectively. The fault tolerance of the system is guaranteed through the fault accommodation based on a set of observers. The results have been corroborated using a riderless bicycle LPV model, with a controller that aims at keeping it stood-up along its translation motion.

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