ISSN Online: 2379-1748
ISBN Flash Drive: 978-1-56700-472-4
ISBN Online: 978-1-56700-471-7
3rd Thermal and Fluids Engineering Conference (TFEC)
DEVELOPMENT OF P- PD- AND PID-FUZZY SISO CONTROLLERS OF A SUB-SCALED MULTI-ROOM BUILDING TEST-BED
Аннотация
We develop intelligent control strategies for thermal control in a sub-scaled multi-room building. The objective
is to maintain a specific temperature in each of the rooms of the building. The controllers are built
upon the fuzzy logic technique [27, 28]. Linguistic variables and if-then rules, which describe the behavior of
the system, are quantified –respectively– by triangular membership functions and data obtained for different
operating conditions. Each room is a closed loop SISO system with a Mamdani inference method [13], used
to defuzzify the outputs. The control variables are the averaged temperatures inside the rooms, whereas the
manipulated ones are the flow rates of the airflow. The test-bed has 8 rooms, distributed in 2 floors. A cooling
unit provides cold air to the system, whereas 25 W light bulbs act as a heat load in each room. Two K-type
thermocouples, placed in each room, gather temperature-readings, and dampers are designed to control the
airflow delivered by the cooling unit into each. Temperature readings and control actions are performed via
LabVIEW, and MATLAB is used to implement the fuzzy controllers, while experiments are conducted to
assess their relative performance. Results demonstrate that all fuzzy controllers can effectively maintain the
temperature of each room within ±1°C of the setpoint, although the PID-based control is the most efficient.