Next Article in Journal
Correction: Sarah Jasper and Mahmoud M. El-Halwagi A Techno-Economic Comparison between Two Methanol-to-Propylene Processes Processes 2015, 3, 684–698
Previous Article in Journal
Modeling and Optimization of High-Performance Polymer Membrane Reactor Systems for Water–Gas Shift Reaction Applications
Article Menu

Export Article

Open AccessFeature PaperArticle
Processes 2016, 4(2), 12; doi:10.3390/pr4020012

Measurable Disturbances Compensation: Analysis and Tuning of Feedforward Techniques for Dead-Time Processes

1
Department of Computer Science and Automatic Control, ETSII, UNED, 28040 Madrid, Spain
2
Department of Informatics, University of Almería, ceiA3-CIESOL, 04120 Almería, Spain
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Juergen Hahn
Received: 31 January 2016 / Revised: 5 April 2016 / Accepted: 6 April 2016 / Published: 12 April 2016
View Full-Text   |   Download PDF [475 KB, uploaded 12 April 2016]   |  

Abstract

In this paper, measurable disturbance compensation techniques are analyzed, focusing the problem on the input-output and disturbance-output time delays. The feedforward compensation method is evaluated for the common structures that appear between the disturbance and process dynamics. Due to the presence of time delays, the study includes causality and instability phenomena that can arise when a classical approach for disturbance compensation is used. Different feedforward configurations are analyzed for two feedback control techniques, PID (Proportional-Integral-Derivative) and MPC (Model Predictive Control) that are widely used for industrial process-control applications. The specific tuning methodology for the analyzed process structure is used to obtain improved disturbance rejection performance regarding classical approaches. The evaluation of the introduced disturbance rejection schemes is performed through simulation, considering process constraints in order to highlight the advantages and drawbacks in common scenarios. The performance of the analyzed structure is expressed with different indexes that allow us direct comparisons. The obtained results show that the proper design and tuning of the feedforward action helps to significantly improve the overall control performance in process control tasks. View Full-Text
Keywords: disturbance compensation; feedforward control; process control; PID; GPC; MPC disturbance compensation; feedforward control; process control; PID; GPC; MPC
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pawlowski, A.; Rodríguez, C.; Guzmán, J.L.; Berenguel, M.; Dormido, S. Measurable Disturbances Compensation: Analysis and Tuning of Feedforward Techniques for Dead-Time Processes. Processes 2016, 4, 12.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Processes EISSN 2227-9717 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top