The integration of renewable energy sources in power systems, specially wind energy, is growing as
environmental concerns arise in society. Nevertheless, the low amount of viable sites onshore or in shallow waters
restricts the use of wind energy. In this sense, offshore semi-submersible platforms appear as an option, which in
addition enables the integration of complementary elements, for instance wave energy converters. However, the
complexity of the system increases due to the interactions between the platform movements and the wind turbine,
and traditional control techniques do not enable to cope with these interactions in an easy way, hence limiting the
efficiency of energy harvesting. Intelligent control techniques are an option with a great potential to take full account
of the said interactions and to improve energy production efficiency. Still, it is required to have simulation models
including those effects beforehand, so that the effects of a designed controller on the system can be evaluated. This
paper presents an original fuzzy logic controller that tunes a reference controller, improving its performance
according to a developed methodology that allows evaluation of controllers for wind turbines in semi-submersible
platforms. The resulting fuzzy logic controller allows higher efficiency concerning mechanical loads in the system,
electric energy production and tracking error of the speed reference.
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