Title :
Identification of Hammerstein model with VRFT in the virtual two-degree of freedom control system
Author_Institution :
Inst. of Sci. & Eng., Kanazawa Univ., Ishikawa, Japan
Abstract :
In this paper, we provide one of the identification methods of a system with Hammerstein typed nonlinearity in the closed loop. The basic strategy proposed here is to use the controller parameter tuning scheme in the virtual two-degree of freedom control structure. The proposed method enables us to obtain the parameters of a Hammerstein typed nonlinear system with one-shot experiment and an off-line optimization. In order to validity of our proposed method, we show a simple numerical example.
Keywords :
closed loop systems; control nonlinearities; identification; optimisation; Hammerstein model; Hammerstein typed nonlinearity; VRFT; closed loop; identification methods; offline optimization; virtual two-degree-of-freedom control system; Control system synthesis; Control systems; Feedback; Feeds; Mathematical model; Nonlinear dynamical systems; Nonlinear systems; Optimization methods; System identification; Transfer functions; Hammerstein nonlinearity; system identification; two-degree of freedom of control systems; virtual reference feedback tuning;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
