Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control

Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control

Type	Journal Article
Author	Ridong Zhang
Author	Anke Xue
URL	http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6881729&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6881729
Volume	10
Issue	4
Pages	2084-2092
Publication	IEEE Transactions on Industrial Informatics
Date	November 2014
Abstract	Describes an enhanced model predictive control (MPC) using a new state space structure for temperature control of an industrial coke furnace. Implementation of this controller requires only a simple step-response process model, whereas controller design can be based on state space formulation to improve temperature regulation. To ensure control performance effectiveness under model/process mismatch and uncertainties, model predictions and the cost function optimization were conducted on the basis of a new improved state space model. Researchers applied the MPC to an industrial coke furnace, where the outlet temperature in the radiation room is regulated. Simulation comparisons with traditional state space MPC are illustrated. Experimental results are shown in comparison with the original proportional-integral differential (PID) controller, demonstrating the effectiveness of the proposed methodology.