Abstract
In this paper, we propose a novel bilinear observer- based robust fault
detection, isolation and adaptive fault estimation methodology to
precisely estimate a class of actuator faults, namely bias in damper
position and lock-in-place faults, in Variable-Air-Volume (VAV) terminal
units of Heating Ventilation and Air-Conditioning (HVAC) systems. The
proposed adaptive fault estimator is robust in the sense that the fault
estimates are not affected by the unmeasured disturbance variable and
that the effects of measurement noises on fault estimates are
attenuated. The fault estimation algorithm with the integrated building
control system improves occupants comfort and reduces the operation,
maintenance, and utility cost, thereby reducing the impact on the
environment. The effectiveness of the methodology for adaptive
estimation of multiple or single VAV damper faults is successfully
demonstrated through different simulation scenarios with SIMBAD
(SIMulator of Building And Devices), which is being used in industries
for testing and validation of building energy management systems.