Title :
An Iterative Approach for Noncausal Feedforward Tuning
Author :
Piazzi, Aurelio ; Visioli, Antonio
Author_Institution :
Univ. of Parma, Parma
Abstract :
A new iterative approach for the determination of a noncausal feedforward control law suitable for set-point regulation is presented in this paper. The technique aims at estimating recursively the parameters of the system to be controlled in order to determine the exact noncausal command input to be applied to the closed-loop system in order to achieve a predefined output transition. In this context, a gradient based minimization of the integrated square error cost function is performed. Simulation results show the effectiveness of the methodology for different system characteristics.
Keywords :
closed loop systems; control system synthesis; feedforward; gradient methods; least squares approximations; recursive estimation; closed-loop system; gradient method; iterative approach; noncausal feedforward tuning control design; parameter estimation; predefined output transition; set-point regulation; square error cost function minimization; Adaptive control; Cities and towns; Control system synthesis; Control systems; Cost function; Iterative methods; Parameter estimation; Stress control; Transfer functions; Transient response;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282201
