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

Author

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  • Pu Han
  • Miao Liu
  • Dongfeng Wang
  • Hao Jia

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.

Suggested Citation

  • Pu Han & Miao Liu & Dongfeng Wang & Hao Jia, 2017. "Design of RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-9, April.
  • Handle: RePEc:hin:jnlmpe:2192393
    DOI: 10.1155/2017/2192393
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