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This paper proposes a comprehensive solution to the advanced control problem of multivariable systems using Siemens’ TIA (Totally Integrated Automation) Portal LSIM (Linear Simulation) package. The process model is validated via Matlab-Simulink to compare and support the implementation of the TIA Portal. The control system is then developed using the Relative Gain Array (RGA) concept to minimize cross-coupling effects between inputs. The study demonstrates how decoupling functions and precise tuning improve system performance, reducing interference and enhancing stability. The results confirm that this integrated control framework improves system efficiency, reliability, and adaptability for industrial applications.

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Heuristic Tuning and Decoupling Strategies for Multivariable Systems: An Integrated TIA Portal and Matlab-Simulink Approach

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Diego Salazar,
  • Wilson Pavón,
  • William Montalvo,
  • Julio Cesar Zambrano

摘要

This paper proposes a comprehensive solution to the advanced control problem of multivariable systems using Siemens’ TIA (Totally Integrated Automation) Portal LSIM (Linear Simulation) package. The process model is validated via Matlab-Simulink to compare and support the implementation of the TIA Portal. The control system is then developed using the Relative Gain Array (RGA) concept to minimize cross-coupling effects between inputs. The study demonstrates how decoupling functions and precise tuning improve system performance, reducing interference and enhancing stability. The results confirm that this integrated control framework improves system efficiency, reliability, and adaptability for industrial applications.