Communication Dans Un Congrès Année : 2016

Nonlinear joint state-parameter observer for VAV damper position estimation

Résumé

Variable Air Volume (VAV) based Heating Ventilation and Air Conditioning (HVAC) systems are common in large non-residential buildings. The dynamic model of a VAV system along with the Air Handling Unit (AHU) and the zones has a nonlinear characteristic. In this paper, a nonlinear model based joint state and parameter observer is proposed to estimate the VAV damper position in such systems. First, a Takagi-Sugeno (T-S) equivalent model for the AHU-VAV-Zone model is obtained using sector nonlinearity approach. The damper position estimation problem is then posed as a time varying parameter estimation problem. A procedure based on existing literature results on T-S joint state and parameter estimation is implemented. Simulation results show the effectiveness of this approach. A bank of observers based approach is then described that can help in detecting and isolating VAV damper faults in the system using the state and parameter estimates.

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Dates et versions

hal-01348153 , version 1 (29-10-2024)

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Identifiants

  • HAL Id : hal-01348153 , version 1

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Krishnan Srinivasarengan, José Ragot, Didier Maquin, Christophe Aubrun. Nonlinear joint state-parameter observer for VAV damper position estimation. 3rd Conference on Control and Fault-Tolerant Systems, SysTol 2016, Sep 2016, Barcelone, Spain. ⟨hal-01348153⟩
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