On-line parameter and state estimation of an air handling unit model: experimental results using the modulating function method

TL;DR

This paper demonstrates the real-time application of the modulating function method for estimating parameters and states in an air handling unit model, validated through experimental results and comparison with traditional techniques.

Contribution

It introduces an on-line implementation of the modulating function method for HVAC system modeling, addressing practical issues and validating with experimental data.

Findings

The method successfully estimates parameters and states in real-time.

Experimental results align well with conventional estimation techniques.

The approach offers a viable alternative for on-line HVAC system monitoring.

Abstract

This paper considers the on-line implementation of the modulating function method, for parameter and state estimation, for the model of an air-handling unit, the central element of HVAC systems. After recalling the few elements of the method, more attention is paid on issues related to its on-line implementation, issues for which we use two different techniques. Experimental results are obtained after implementation of the algorithms on a heat flow experiment, and they are compared with conventional techniques (conventional tools from Matlab for parameter estimation, and a simple Luenberger observer for state estimation) for their validation.