Generic model controller tuning for chemical processes with input saturation

✍ Scribed by Bingjun Guo; Xiangming Hua; Arthur Jutan

• Publisher: John Wiley and Sons
• Year: 2002
• Tongue: English
• Weight: 468 KB
• Volume: 80
• Category: Article
• ISSN: 0008-4034
• DOI: 10.1002/cjce.5450800212

✦ Synopsis

Abstract

Control in the face of process input constraints is very common and of great practical importance in the processing industries. Generic Model Control (GMC) is a model‐based control framework for both linear and nonlinear systems. In this paper, a constrained GMC controller tuning approach using a nonlinear least squares technique is proposed. This tuning approach is simple to apply. For a SISO GMC control system with input saturation, the tracking performance is significantly improved by adding a simple heuristic switching strategy. The effectiveness of the proposed controller tuning approach is demonstrated using dynamic simulations and MIMO real‐time experiments.