Study on Predictive Control Algorithm of Reactor Temperature

Abstract

Reactor is hard to control because it has the characteristics of time-varying, nonlinear and large time delay. There are many uncertainties in its working process. In order to improve the dynamic performance of reactor temperature control, predictive control technology was adopted in this paper. On the basis of considering the system performance requirements and uncertainties, predictive control model was established. Improved dynamic matrix control (DMC) control algorithm with system uncertainty was designed to control reactor temperature. The simulation result shows that the system has no overshoot and its steady-state error is little than 6.2645e-004. The system has stronger robust performance when uncertainty parameter of system unknown uncertainty matrix G changes. Improved predictive DMC control algorithm can make the system have better dynamic performance than PID control and meet the need of the industry productive process.