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Cascaded process model based control: packed absorption column application.

Anand Govindarajan1, Suresh Kumar Jayaraman1, Vijayalakshmi Sethuraman1

  • 1School of Chemical Engineering, Oklahoma State University, Stillwater, OK 74078-5020, USA.

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|November 2, 2013
PubMed
Summary
This summary is machine-generated.

This study demonstrates nonlinear, adaptive, process-model based control for pressure drop in a packed absorption column. The adaptive model provides process insights and a guide for implementing advanced process control.

Keywords:
ControlDesignModel-basedNonlinear

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Area of Science:

  • Chemical Engineering
  • Process Control

Background:

  • Packed absorption columns are crucial in chemical processes.
  • Effective pressure drop control is essential for column efficiency and safety.
  • Existing control methods may struggle with the inherent nonlinearities of such systems.

Purpose of the Study:

  • To demonstrate nonlinear, adaptive, process-model based control for pressure drop in a pilot-scale packed absorption column.
  • To validate the effectiveness of the control strategy in various operational modes.
  • To provide a practical design guide for implementing similar control systems.

Main Methods:

  • Implementation of a cascaded single-input-single-output (SISO) control structure.
  • Utilizing a process-model based adaptive control approach.
  • Testing control in servo and regulatory modes, including scenarios with constraints and bumpless transfer.

Main Results:

  • The packed absorption column process was confirmed to be nonlinear.
  • Successful demonstration of adaptive control, including model adaptation that yielded process insights.
  • Effective control was achieved in servo and regulatory modes, with no wind-up and bumpless transfer.

Conclusions:

  • Nonlinear, adaptive, process-model based control is effective for pressure drop management in pilot-scale packed absorption columns.
  • Model adaptation offers valuable insights into process dynamics.
  • The presented application procedure serves as a useful design guide for implementing advanced process control strategies.