Multivariable offset-free MPC with steady-state target calculation and its application to a wind tunnel system

This paper addresses a computationally efficient MPC approach for set-point optimization and its application to an intermittent transonic wind tunnel (ITWT). In the presented method, the open-loop prediction, which adopts the Kalman filter to obtain the open-loop dynamic/steady state predictions of manipulated/controlled variables (MVs/CVs), is presented. Based on the open-loop prediction, a linearization steady-state model featured by the total pressure and the Mach number is used for set-points optimization in steady-state target calculation (SSTC), being formulated as a linear programming (LP) problem. Based on these set-points of MVs/CVs, the dynamic control computes the optimal control moves by solving a quadratic programming (QP) problem. The effectiveness of the proposed method is illustrated on ITWT, and satisfactory performances are obtained. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.