Off-line robust MPC algorithm for VAV air-conditioning systems

The efficient temperature control of variable air volume (VAV) air-conditioning system can greatly reduce the energy consumption. In order to due with system constraints and uncertainties, and guarantee the closed-loop stability, an off-line min-max robust model predictive control algorithm is presented for the temperature control of a VAV system. As the first-order-plus-time-delay model of system is described by a polyhedral described uncertain model, the off-line ellipsoidal invariant set based robust MPC algorithm is employed for the controller design. Simulation results show efficiency of the proposed control algorithm implemented in the temperature control of a VAV system, which can enhance robustness, and satisfy the constraints.