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Mathematical Problems in Engineering
Volume 2017, Article ID 2192393, 9 pages
https://doi.org/10.1155/2017/2192393
Research Article

Design of RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy

Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, Department of Automation, North China Electric Power University, Baoding 071003, China

Correspondence should be addressed to Miao Liu; nc.ude.upecn@5102_uiloaim

Received 13 January 2017; Accepted 14 March 2017; Published 18 April 2017

Academic Editor: Anna Vila

Copyright © 2017 Pu Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The collection of superheated steam temperature models of a thermal power plant under different loads can be approximated to “multimodel” linear uncertain systems. After transformation, the tracking system was obtained from “multimodel” linear uncertain systems. For this tracking uncertain system, a mixed robust model predictive control (HRMPC) based on a memoryless feedback multistep strategy is proposed. A multistep control strategy combines the advantages of predictive control rolling optimization with memoryless feedback control thoughts. It could effectively decrease the controller optimization parameter and ensure closed-loop system stability, and, at the same time, it also achieved acceptable control performance. Successful application to the superheated steam temperature system of a 300 MW thermal power plant verified the study of the HRMPC-P cascade controller design scheme in terms of feasibility and effectiveness.