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Journal of Applied MathematicsVolume 2013 2013, Article ID 587841, 14 pages

Research Article

Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China

College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China

Received 19 July 2013; Accepted 29 August 2013

Academic Editor: Baocang Ding

Copyright © 2013 Hongyan Shi et al. 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.


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.

Autor: Hongyan Shi, Dingding Wang, Decheng Yuan, and Tianran Wang



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