TY  - CONF
SP  - 59
PB  - Institute of Electrical and Electronics Engineers Inc.
A1  - Nguyen, T.H.
A1  - Ismail, I.
A1  - Saad, N.B.
A1  - Faisal, A.
A1  - Irfan, M.
SN  - 9780956715746
KW  - Identification (control systems); Pilot plants; Predictive control systems; State space methods
KW  -  Bumpless transfer; Dynamic characteristics; Local state space; Manipulated variables; Multiple MPC; Multiple-modeling; Nonlinear; Nonlinear process
KW  -  Model predictive control
TI  - A practical approach of control of real time nonlinear process plant using Multiple Model Predictive Control
Y1  - 2015///
N1  - cited By 3; Conference of 6th International Conference on Modelling, Identification and Control, ICMIC 2014 ; Conference Date: 3 December 2014 Through 5 December 2014; Conference Code:110290
AV  - none
ID  - scholars6046
N2  - 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.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923467746&doi=10.1109%2fICMIC.2014.7020728&partnerID=40&md5=70ee88fee21efd6b26ca94ebe7e09120
EP  - 64
ER  -