Abstract
The objective of this paper is to investigate a new design and real-time implementation approach of a predictive proportional integral-plus (PIP) closed-loop control strategy for a centrifugal chiller HVAC system. By using the analytical model of the plant, linear discrete-time multi-input multi-output (MIMO) autoregressive moving average exogenous (ARMAX) polynomial models were developed. The structure of developed ARMAX models is straightforward, and they are suitable to capture the complex dynamics of the centrifugal chiller plant. Fundamentally, these identified models use the least-squares estimation (LSE) method to evaluate the polynomials coefficients and model parameters implemented using specific tools provided by MATLAB's system identification toolbox. The new modelling approach is beneficial for simulation purposes to prove the efficiency of the proposed closed-loop control strategy, the tracking performance, and its robustness to possible changes in the load disturbance and noise level of measurement sensors.
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