Abstract:
Biomass is amongst one of the prominent
renewable energy sources. Biomass gasification technology
is being used to convert biomass into gas. The greatest
challenge to researchers is automation and control of
downdraft biomass gasifier systems. This paper exhibits
dominance of fuzzy logic controller over conventional
proportional integrative derivative (PID) controller in an
application to temperature control of the biomass
gasification industrial plant. Applying fuzzy logic to nonlinear
systems control is not only new but real plant
applications are still interesting because they need to
account for given plant specifics. Controlling the
temperature of fixed bed gasifier system using the
conventional PID controller with its parameters tuned for
specific conditions gives low performance once the tuned
conditions change. The system varies non –linearly and the
temperature is easily affected by varies disturbances. The
proposed fuzzy controller is a very powerful approach to
make the gasifier system give a more linear output. The
result derived from the fuzzy controller has improved the
performance of the gasifier system in terms of low settling
time, set point tracking, and without overshoot. The
controller’s performances have been verified by the
simulation.
