Offset-free model predictive controller for Vapor Compression Cycle

This work describes the application of an offset-free model predictive controller for a Vapor Compression Cycle (VCC). The MPC strategy is based on an empirically-identified linear model obtained using data simulated from a first-principle model of a VCC. The VCC model is interfaced with a building simulation EnergyPlus. The MPC strategy incorporates both economic and control objectives and estimates unaccounted disturbances to the linear models using an augmented state-space model coupled with a Luenberger observer. Tuning rules are developed to enable the `decoupling´ of the Luenberger design and choice of MPC parameters, leading to offset elimination and superior tracking performance while reducing the energy demand on the VCC, relative to traditional control approaches.