Title :
Modeling, identification and feedforward control of multivariable hysteresis by combining Bouc-Wen equations and the inverse multiplicative structure
Author :
Habineza, Didace ; Rakotondrabe, Micky ; Le Gorrec, Yann
Author_Institution :
AS2M Dept., Univ. de Franche-Comte, Besançon, France
Abstract :
This paper deals with the modeling, identification and feedforward control of hysteresis found in multi-degrees of freedom (DOF) piezoelectric actuators. One main characteristic of the considered hysteresis behavior is the strong couplings. To express such multivariable hysteresis, we propose to extend the previous Bouc-Wen hysteresis monovariable model used for 1-DOF actuators. Then we propose to combine the resulting multivariable model with the inverse multiplicative structure in order to derive a multivariable compensator that suppresses the direct and the coupling hysteresis. Experimental tests on a piezotube scanner demonstrate the efficiency of the proposed approach.
Keywords :
compensation; feedforward; hysteresis; identification; multivariable control systems; piezoelectric actuators; 1-DOF actuators; Bouc-Wen equations; Bouc-Wen hysteresis monovariable model; coupling hysteresis; inverse multiplicative structure; multidegrees of freedom piezoelectric actuators; multivariable compensator; multivariable hysteresis feedforward control; multivariable hysteresis identification; multivariable hysteresis modeling; piezotube scanner; Actuators; Couplings; Equations; Feedforward neural networks; Hysteresis; Mathematical model; Sensors; Emerging control applications; Nonlinear systems; Smart structures;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6858971