1 research outputs found
Fault Tolerant Control Design for a Wind Farm Benchmark via Fuzzy Modelling and Identification
In order to improve the safety, the reliability,
and the efficiency of wind farm installations, thus avoiding
expensive unplanned maintenance, the accommodation of faults
in their earlier occurrence is fundamental. Therefore, the main
contribution of this paper consists of the development of a
tolerant control scheme applied by means of a direct and
viable approach. In particular, a data-driven strategy based
on fuzzy logic is exploited for deriving the fault tolerant
control scheme. Fuzzy theory is exploited since it is able to
approximate easily unknown nonlinear models and manage
uncertain data. Moreover, these fuzzy prototypes are directly
identified from the wind farm measurements and lead to the
straightforward design of the fault tolerant control scheme. In
general, an analytic approach, where the system nonlinearity
is explicitly considered, would require more complex control
design methodologies. This aspect of the work, followed by
the simpler solution relying on fuzzy rules, represents the key
point when on-line implementations are considered for a viable
application of the proposed methodology. A realistic wind farm
simulator is used to validate the achieved performances of the
suggested methodology