Tuning fuzzy controller with genetic
algorithm
Tuning fuzzy controller with genetic
algorithm
Tuning fuzzy controller with genetic
algorithm
Fig. 19. PMV during temperature variation.
Conclusions
 Important parameters that affect thermal comfort are cabin air
temperature, relativehumidity, air velocity,environment
radiation, activity level of passengers and clothing insulation.
PMV index which combines the above parameters is used to
indicate thermal comfort in cabin
Conclusions
 The simplified PMV index is used as the feedback in fuzzy
controller instead of temperature. Results indicate PMV
controller better controls comfort than temperature controller.
Genetic algorithm is next used to improve the performance of
the fuzzy controller. Results indicate desired PMV is reached
faster with the GA optimized controller.
 Genetic algorithm is next used to improve the performance of
fuzzy controller. It is shown that after optimization controller
reaches thermal comfort quicker while minimizing energy
consumption.
End
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