MODEL PREDICTIVE CONTROLLER DESIGN FOR AIR SEPARATION PLANTS

摘要

This paper focuses on the design of a model predictive controller to cope with the load change of air separation plants. The linear state-space wiener model is obtained using subspace identification methods. And we design a static output feedback model predictive controller for the obtained model. The upper bound of performance index with finite horizon is acquired with LMI technique. Simulation results show the effectiveness of the proposed method.