Premium
A comparison of nonlinear control performance assessment techniques for nonlinear processes
Author(s) -
Yu Wei,
Wilson David I.,
Young Brent R.
Publication year - 2012
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.21733
Subject(s) - nonlinear system , control (management) , control engineering , computer science , task (project management) , control theory (sociology) , nonlinear control , audit , quality (philosophy) , engineering , systems engineering , accounting , artificial intelligence , physics , epistemology , quantum mechanics , philosophy , business
Assessing the quality of industrial control loops is an important auditing task for the control engineer. However, there are complications when considering the ubiquitous nonlinearities present in many industrial control loops. If one simply ignores these nonlinearities, there is the danger of over‐estimating the performance of the control loop in rejecting disturbances and thereby possibly overlooking loops that need attention. To address this problem, several techniques have been recently developed to extend the control performance assessment (CPA) of single input/single output linear systems to nonlinear systems. This article surveys these nonlinear CPA techniques and compares their performances using three case studies. These results can be used to guide control engineers to select the most suitable CPA techniques for their particular applications. © 2012 Canadian Society for Chemical Engineering