IGPC-QFT Cascade Control and Its Application in Superheated Steam Temperature Control System

Abstract

Abstract. The superheated steam temperature control system is a complicated controlled object with large inertia and large time delay characteristics, and its model parameters change with the load. For this nonlinear system, an IGPC-QFT cascade control algorithm was proposed. The quantitative feedback theory (QFT) was used to suppress the uncertainties and disturbance in the leading region of the system. A simple method for QFT controller design was proposed to avoid the tedious shaping process of the QFT controller design. An improved implicit generalized predictive self-tuning controller (IGPC) was used to suppress the overshoot and overcome the large inertia and large time delay in the inert region. The numerical simulations show that the proposed IGPC-QFT algorithm can give the controlled system better dynamic performance than traditional GPC-P under different load and disturbance.