A practical approach of control of real time nonlinear process plant using Multiple Model Predictive Control
This paper presents a practical approach of Multiple Model Predictive Control (MMPC) to deal with the nonlinearity of a process plant. The regulation of the nonlinear system over a wide range of operation is handled by a number of linear local MPCs, each is designed based on a local State Space mode...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923467746&doi=10.1109%2fICMIC.2014.7020728&partnerID=40&md5=70ee88fee21efd6b26ca94ebe7e09120 http://eprints.utp.edu.my/26239/ |
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| Summary: | This paper presents a practical approach of Multiple Model Predictive Control (MMPC) to deal with the nonlinearity of a process plant. The regulation of the nonlinear system over a wide range of operation is handled by a number of linear local MPCs, each is designed based on a local State Space model which describes the dynamic characteristics of the system in a certain level of operation. At each certain time of operation, only one local MPC is active while others are in standby mode and switching among the local MPCs is taken place when the system changes its working condition. In order to produce a 'bumpless transfer' during the switching, a Feedback of External Manipulated Variable (FEMV) is provided to the all local MPC controllers. The proposed method is applied to real time Gaseous Pilot Plant and results from the test show that the proposed MMPC improves the performance of nonlinear control system. © 2014 Swinburne University of Technology, Australia. |
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