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Updated: Jun 18, 2025

A Rapid Method for Modeling a Variable Cycle Engine
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Optimal IOFL-based economic model predictive control technique for boiler-turbine system.

Mohamed Abdelkarim Abdelbaky1, Xiaobing Kong2, Xiangjie Liu2

  • 1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China; Department of Electrical Power and Machines, Faculty of Engineering, Cairo University, Giza 12613, Egypt.

ISA Transactions
|July 28, 2024
PubMed
Summary

This study introduces an optimal economic model predictive controller (EMPC) using input/output feedback linearization (IOFL) for boiler-turbine systems. The new method improves dynamic and economic performance during load variations compared to existing techniques.

Keywords:
Boiler-turbine systemEconomic optimizationInput/output feedback linearizationIterative algorithmModel predictive control

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Area of Science:

  • Engineering
  • Control Systems
  • Power Plant Operations

Background:

  • Boiler-turbine systems require precise control for responsiveness and feasibility during load changes.
  • Traditional linear control methods struggle with the inherent nonlinearities of these systems.
  • Modern power plants prioritize economic and environmental performance over simple tracking control.

Purpose of the Study:

  • To develop an optimal economic model predictive controller (EMPC) for boiler-turbine systems.
  • To address the challenges posed by system nonlinearities and incorporate economic objectives.
  • To enhance dynamic and economic performance during load variations.

Main Methods:

  • Input/Output Feedback Linearization (IOFL) to create a linearized model.
  • Optimal Economic Model Predictive Control (EMPC) formulated as a quadratic programming problem.
  • An adaptive iterative algorithm for constraint mapping to ensure feasible solutions.

Main Results:

  • The proposed optimal IOFL EMPC scheme effectively decouples the nonlinear system into a linearized model.
  • The controller considers input-rate and input limits for optimized economic performance.
  • Simulations demonstrate superior dynamic and economic performance compared to fuzzy and nonlinear EMPC techniques.

Conclusions:

  • The optimal IOFL EMPC is a highly effective control strategy for boiler-turbine systems.
  • This approach significantly improves both dynamic responsiveness and economic efficiency.
  • The method provides a robust solution for managing load variations in power plants.