DocumentCode
2340449
Title
Universal construction of robust adaptive control laws for a class of nonlinear systems preceded by generalized Prandtl-Ishlinskii representation
Author
Feng, Ying ; Su, Chun-Yi ; Hong, Henry
Author_Institution
Dept. of Mech. & Ind. Eng., Concordia Univ., Montreal, QC
fYear
2008
fDate
3-5 June 2008
Firstpage
153
Lastpage
158
Abstract
For the nonlinear systems preceded by smart actuators which exhibit hysteresis nonlinearities, the increasing attention is to design the controller to mitigate the effect of hysteresis. Among the developed approaches, some attempts have been made to fuse the available hysteresis models with available control approaches without the inverse hysteresis construction. Focusing on the Prandtl-Ishlinskii model, a generalized Prandtl-Ishlinskii model, which can accommodate more general class of hysteresis shapes than the conventional Prandtl-Ishlinskii model, will be fused with robust control techniques. The global stability of the system and tracking a desired trajectory to a certain precision are achieved, and simulation results attained for a nonlinear system are presented to illustrate and further validate the effectiveness of the proposed approach.
Keywords
adaptive control; control nonlinearities; intelligent actuators; nonlinear control systems; stability; generalized Prandtl-Ishlinskii representation; global stability; hysteresis nonlinearities; inverse hysteresis construction; nonlinear systems; robust adaptive control; smart actuators; Adaptive control; Control nonlinearities; Control systems; Fuses; Hysteresis; Intelligent actuators; Nonlinear control systems; Nonlinear systems; Robust control; Shape control; Robust adaptive control; hysteresis; nonlinear system;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1717-9
Electronic_ISBN
978-1-4244-1718-6
Type
conf
DOI
10.1109/ICIEA.2008.4582497
Filename
4582497
Link To Document