DocumentCode
315182
Title
Nonlinear model predictive controller using neural network
Author
Karahan, Özgür ; Ozgen, Canan ; Hahci, U. ; Leblebicioglu, Kemal
Author_Institution
Dept. of Chem. Eng., Middle East Tech. Univ., Ankara, Turkey
Volume
2
fYear
1997
fDate
9-12 Jun 1997
Firstpage
690
Abstract
A nonlinear model predictive control (MPC) algorithm is proposed which extends the capacities of linear model predictive controllers to control nonlinear systems. A neural network (NN) is used to model the deviation of the nonlinear system from its linear MPC model. The proposed algorithm is tested in the control of an industrial multi-component high purity distillation column by simulation. Results of NN-MPC show high improvement in control of the system over the linear MPC algorithm
Keywords
distillation; neurocontrollers; nonlinear control systems; predictive control; process control; industrial multi-component high purity distillation column; linear model predictive controllers; neural network; nonlinear model predictive controller; Control system synthesis; Electrical equipment industry; Industrial control; Neural networks; Nonlinear control systems; Nonlinear systems; Prediction algorithms; Predictive control; Predictive models; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.616105
Filename
616105
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