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B. Mayer, M. Killian, M. Kozek:
"Cooperative and Hierarchical Fuzzy MPC for Building Heating Control";
Talk: 2014 IEEE World Congress on Computational Intelligence (IEEE WCCI 2014), Beijing, China; 2014-07-06 - 2014-07-11; in: "Proceedings of the 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)", IEEE Xplore, (2014), ISBN: 978-1-4799-2072-3; Paper ID F-14083, 6 pages.

A combined cooperative and hierarchical control
structure utilizing Fuzzy Model Predictive Control (FMPC) for
building heating is introduced. The structure comprises three
types of Model Predictive Controllers (MPC): For different
independent zones of the building FMPCs optimize the fast
acting input variable fan coils (FC) while a global linear
MPC optimizes the slowly acting thermally activated building
systems (TABS). Cooperation between these two groups of
controllers is guaranteed by an inter-sample iteration, where
the control variable of one group is a disturbance input to
the other group and vice versa. This cooperative structure
acts as master in a hierarchical structure, where the slave
is a mixed-inter MPC (MI-MPC) in the supply level. While
the cooperative structure ensures user comfort in the building,
the MI-MPC optimizes monetary costs of heat supply. This
structure allows for decoupled and independent modeling of
FMPCs, simple incorporation of the coupling input TABS, and
decoupled design of the supply level control. A discussion on
stability and sub-optimality of the control structure is given. A
simulation of a large office building incorporating disturbances
of ambient temperature, radiance, and occupancy demonstrates
the performance of the proposed concept.

fuzzy control, fuzzy system modelling, building climate control, building climate control

http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891573

Project Head Martin Kozek:
Robuste Prädiktive Regelstrategien zur Optimierung des Energieeinsatzes in Gebäuden