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  1. IEEE Industry Applications Society Advanced Process Control Applications for Industry Workshop.
  2. IEEE Industry Applications Society Advanced Process Control Applications for Industry Workshop
  3. Adaptive process control of an acetic acid reactor
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IEEE Industry Applications Society Advanced Process Control Applications for Industry Workshop
IEEE Industry Applications Society. 1999 Advanced Process Control Applications for Industry Workshop. Record of Workshop Papers
Table of contents
Authors index
NT for soft real time control
OPC-simple software integration for legacy systems
Using expert systems technology as a real-time optimization tool
A new generation of adaptive model based predictive controllers applied in batch reactor temperature control
Applications of multivariate statistics at Dofasco
Vibration control of circular saws
Using transient models of liquid pipelines
Adaptive process control of an acetic acid reactor
Spatial loopshaping tuning for consistency profile control
Advanced process control for moisture monitoring and control applications
Application of adaptive control to gold processing plant
An adaptive artificial neural network to model a Cu/Pb/Zn flotation circuit
Advanced thickener control

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Adaptive process control of an acetic acid reactor

Content Provider IEEE Xplore Digital Library
Author Tobias, D.Z.
Copyright Year 1999
Description Author affiliation: Adaptive Resources, Pittsburgh, PA, USA (Tobias, D.Z.)
Abstract This paper describes how QuickStudy/sup TM/, a model based adaptive process controller, was used to solve a key control problem associated with an acetic acid reactor. The operating company had achieved greater production rates and efficiency through the use of an improved catalyst but with the penalty of decreased reactor temperature stability. A PID based control strategy became unstable at high unit throughput resulting in reduced production rates and lower sustained throughput. The search for a suitable control solution was complicated by the fact that the reactor temperature was open loop unstable and therefore could not be "bump tested". QuickStudy/sup TM/ was used successfully to improve controllability without disrupting production. Reactor temperature standard deviation was reduced from 3.6 to 0.8 and sustained throughput was increased by over 5%. Investment payback was less than 2 months. QuickStudy has been performing reliably in this application for over 2 years.
Starting Page 45
Ending Page 49
File Size 301222
Page Count 5
File Format PDF
DOI 10.1109/APCA.1999.805026
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 1999-04-29
Publisher Place Canada
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Programmable control Temperature Stability Three-term control Process control Production Open loop systems Throughput Adaptive control Inductors
Content Type Text
Resource Type Article
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