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

Pu Han, Miao Liu, Dongfeng Wang and Hao Jia

Mathematical Problems in Engineering, 2017, vol. 2017, 1-9

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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:2192393

DOI: 10.1155/2017/2192393

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