Title :
Application of the Decoupling Control Scheme Based on RBFN Inverse Dynamic Modeling for Non-linear Multi-variable System
Author :
Sun, Hongbing ; Li, Shengquan
Author_Institution :
Dept. of Electron. & Electr. Eng., Huaiyin Normal Univ., HuaiAn, China
Abstract :
An inverse control strategy based on RBFN with feed forward was presented in this paper. The non-linear multi-variable system was controlled by an decoupled the control method. Three inputs of the plant were identified by three RBFNS. Three dynamic pseudo linear systems were formed through the models of controllers and the plants are in series to decouple into three independent pseudo-linear plant. So we can use linear method to control those plants. The decoupling scheme of inverse control based on RBFN and PD control is designed, which is applied to LF electrode system successfully in third iron steel plant of Lianyungang P.R. China. The results show the feasibility and effectiveness of the strategy.
Keywords :
PD control; control system synthesis; iron; linear systems; multivariable control systems; neurocontrollers; nonlinear control systems; radial basis function networks; steel industry; LF electrode system; PD control; RBFN inverse dynamic modeling; decoupling control scheme; dynamic pseudo linear systems; inverse control strategy; iron steel plant; nonlinear multivariable system; pseudolinear plant; Control systems; Electrodes; Feeds; Inverse problems; Iron; Linear systems; Nonlinear control systems; Nonlinear dynamical systems; PD control; Steel; RBFN; decouple control; dynamic pseudo linear; inverse Modelling; simulation;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.103
