DocumentCode :
1645905
Title :
Fast Modular Multivariable Nonlinear Model Predictive Controller
Author :
Zheng Tao ; Wu Gang ; Ling Qing ; Chen Wei
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
fYear :
2007
Firstpage :
415
Lastpage :
419
Abstract :
To solve nonlinear multi-objective dynamic optimization problem originates from process control, a modified frame of dynamic modular multivariable controller based on lexicographic optimization strategy is proposed, which had control modules with different priorities. A modified one-step fast nonlinear predictive control algorithm is used to solve control input in every module. Strategy of the selection of final control input is also proposed. The computer simulations on a two-tank system are carried out to confirm the effectiveness of the algorithm.
Keywords :
multivariable control systems; nonlinear control systems; optimisation; predictive control; dynamic modular multivariable controller; fast modular multivariable nonlinear model predictive controller; lexicographic optimization; nonlinear multiobjective dynamic optimization problem; one-step fast nonlinear predictive control; process control; Automation; Control systems; Design optimization; Helium; Nonlinear systems; Prediction algorithms; Predictive control; Predictive models; Process control; Technological innovation; Modular multivariable control; Multi-objective optimization; Nonlinear model predictive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347114
Filename :
4347114
Link To Document :
بازگشت