A "complete" fault diagnostic system is developed for automated vehicles op
erating as a platoon on an automated highway system. The diagnostic system
is designed to monitor the complete set of sensors and actuators used by th
e lateral and longitudinal controllers of the vehicle, including radar sens
ors, magnetometers and inter-vehicle communication systems, A fault in any
of the twelve sensors and three actuators is identified without requiring a
ny additional hardware redundancy. The diagnostic system uses parity equati
ons and several reduced-order nonlinear observers constructed from a simpli
fied dynamic model of the vehicle. Nonlinear observer design techniques are
used to guarantee asymptotically stable convergence of estimates for the n
onlinear dynamic system. Different combinations of the observer estimates a
nd the available sensor measurements are then processed to construct a bank
of residues. The paper analytically shows that a fault in any one of the s
ensors or actuators creates a unique subset of these residues to grow so as
to enable exact identification of the faulty component. Both simulation an
d experimental results are presented to demonstrate the effectiveness of th
e fault diagnostic system in the presence of various faults.