Development of a new feed-forward control method based on soft sensors and inverse analysis

Ippei Kimura, Hiromasa Kaneko, Kimito Funatsu

Research output: Contribution to journalArticle

1 Citation (Scopus)


PID controllers and model-predictive controllers are widely used for process control. However, optimization of control parameters is complicated and many processes are operated inefficiently. In order to perform more effective control, we propose a new process control method using soft sensor models. We refer to this method as inverse soft sensor-based feed-forward (ISFF) control. Soft sensor models are constructed between a controlled variable (y) as an objective variable, and manipulated variables (U) and other process variables (X) as explanatory variables. The optimal control strategy of U which optimizes the objective function including y is determined with inverse analysis on the soft sensor models while considering X variables. The proposed method was applied to the change of a set point of a simulated CSTR system, and the validity of ISFF was confirmed.

Original languageEnglish
Pages (from-to)29-37
Number of pages9
Journalkagaku kogaku ronbunshu
Issue number1
Publication statusPublished - 20 Jan 2015


  • Inverse analysis
  • Process control
  • Soft sensor

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