Advanced Optimization Method of Multivariable Predictive Controller

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  • 多変数モデル予測制御の高度な最適化手法
  • タヘンスウ モデル ヨソク セイギョ ノ コウド ナ サイテキカ シュホウ

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Description

<p>Multivariable predictive controller（MPC）is widely applied to process industry from its real time optimization capability which makes large operation benefit from the process. MPC utilizes linear programming method（LP）to determine optimum solution under process constraints. Understanding of LP method is essential to utilize optimization function to maximize benefit from MPC. Since LP method is limited for linear algebra, optimization of highly non-linear process is difficult. Advanced optimization methods are developed for MPC to support process non-linearity. One is liner model on-line update method. Another method is hessian update. Multiple unit optimization is also available with real time optimizer. Further large scope optimization which includes production planning and blending is also available.</p>

Journal

  • JAPAN TAPPI JOURNAL

    JAPAN TAPPI JOURNAL 74 (11), 1084-1089, 2020

    JAPAN TECHNICAL ASSOCIATION OF THE PULP AND PAPER INDUSTRY

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