Two‐Layer Predictive Control of a Continuous Biodiesel Transesterification Reactor
Hongyan Shi,
Dingding Wang,
Decheng Yuan and
Tianran Wang
Journal of Applied Mathematics, 2013, vol. 2013, issue 1
Abstract:
A novel two‐layer predictive control scheme for a continuous biodiesel transesterification reactor is presented. Based on a validated mechanistic model, the least squares (LS) algorithm is used to identify the finite step response (FSR) process model adapted in the controller. The two‐layer predictive control method achieves the steady‐state optimal setpoints and resolves the multivariable dynamic control problems synchronously. Simulation results show that the two‐layer predictive control strategy leads to a significant improvement of control performance in terms of the optimal set‐points tracking and disturbances rejection, as compared to conventional PID controller within a multiloop framework.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2013/587841
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2013:y:2013:i:1:n:587841
Access Statistics for this article
More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().