Advanced Process Control for Industrial Efficiency

This document outlines how Advanced Process Control systems can reduce industrial operational costs and enhance production efficiency. It explains various APC implementation methods including model-based predictive control, multi-variable control, PID control extensions, and fuzzy control logic. The document demonstrates how these technologies optimize process control loops, improve product quality, reduce energy consumption, and increase plant profitability. It addresses the challenge that two-thirds of control loops in typical plants require improvement and shows how proper process control can increase profit by hundreds to thousands of euros per shift. The paper provides technical details on distributed control systems and their role in achieving sustainable manufacturing benefits through process stabilization and optimization. Note: AI-generated document summary. Please check the original document for detailed information.

Advanced Process Control for Industrial Efficiency

Release date 29 Nov 2018
Version 1.0
Document ref. ProcessControl
File format PDF (717.4 KB)
File Name | Size | Action 998-2095-09-29-14AR0_EN.pdf 717.4 KB

Advanced Process Control for Industrial Efficiency

This document outlines how Advanced Process Control systems can reduce industrial operational costs and enhance production efficiency. It explains various APC implementation methods including model-based predictive control,

Release date 29 Nov 2018
Version 1.0
Document ref. ProcessControl
File format PDF (717.4 KB)
998-2095-09-29-14AR0_EN.pdf
Release date 29 Nov 2018
Version 1.0
File Name 998-2095-09-29-14AR0_EN.pdf
File format PDF