DocumentCode
3060817
Title
Sliding mode control synthesis using fuzzy logic
Author
Ghalia, M.B. ; Alouani, Ali T.
Author_Institution
Center for Manuf. Res. & Technol. Utilization, Tennessee Technol. Univ., Cookeville, TN, USA
Volume
2
fYear
1995
fDate
21-23 Jun 1995
Firstpage
1528
Abstract
In variable structure control algorithms, sliding mode plays a crucial role in making the closed loop system insensitive to modeling uncertainties and external disturbances, and also in transforming the original system dynamics into prescribed reduced order dynamics restricted to a switching manifold on which desired system dynamic behavior is achieved. The control law used to realize the desired sliding mode dynamics is discontinuous on the switching manifold. However, due to imperfections in switching, such as time delays, the system trajectory chatters instead of sliding along the switching manifold. This chattering is undesirable because it may excite unmodeled high-frequency dynamics in the physical system. To overcome this drawback, in this paper, a new sliding mode control algorithm using concepts from fuzzy theory and fuzzy logic is developed. The eccentricity of the new sliding mode control algorithm resides in generalized form of switching manifold which allows for a smooth transition between the reaching mode and the sliding mode. To demonstrate its performance, the proposed control algorithm is applied to a one-degree of freedom robot arm
Keywords
closed loop systems; control system synthesis; delays; fuzzy control; reduced order systems; uncertain systems; variable structure systems; chattering; closed-loop system; external disturbance insensitivity; fuzzy logic; modeling uncertainty insensitivity; sliding mode control synthesis; sliding mode dynamics; switching imperfections; time delays; unmodeled high-frequency dynamics excitation; variable structure control algorithms; Actuators; Control systems; Delay effects; Electric variables control; Feedback control; Fuzzy logic; Nonlinear control systems; Sliding mode control; Uncertainty; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.521007
Filename
521007
Link To Document