DocumentCode
3601424
Title
Design of an Adaptive Fuzzy-Bias SMC and Validation for a Rugged Electrohydraulic System
Author
Dasmahapatra, Sibsankar ; Sarkar, Bikash Kumar ; Saha, Rana ; Chatterjee, Amitava ; Mookherjee, Saikat ; Sanyal, Dipankar
Author_Institution
Jadavpur Univ., Kolkata, India
Volume
20
Issue
6
fYear
2015
Firstpage
2708
Lastpage
2715
Abstract
An adaptive fuzzy-bias sliding-mode controller has been designed by adding biasing to an existing controller for motion tracking by an electrohydraulic system. The system has a proportional valve with large deadband and a cylinder with jump in static friction and nonlinear but continuous dynamic friction. While the biasing controller takes care of the discontinuous features, the fuzzy controller approximates the other system nonlinearities. The sliding-mode controller compensates the approximations. By a number of real-time experiments, the appropriate choices for the number of fuzzy rule base and some free parameters have been established. Then, starting with the same set of initial parameters for tracking step and sinusoidal demands of different frequencies, the responses have demonstrated sufficient adaptability of the controller.
Keywords
adaptive control; continuous systems; control system synthesis; electrohydraulic control equipment; fuzzy control; fuzzy set theory; motion control; position control; variable structure systems; adaptive fuzzy-bias SMC design; continuous dynamic friction; discontinuous features; fuzzy rule base; motion tracking; nonlinear system; proportional valve; real-time experiments; rugged electrohydraulic system; sinusoidal demands; sliding-mode controller; static friction; tracking step; Adaptation models; Adaptive systems; Electrohydraulics; Friction; Pistons; Real-time systems; Valves; Adaptive tracking; bias; electrohydraulic system; fuzzy; real-time experiment; sliding mode;
fLanguage
English
Journal_Title
Mechatronics, IEEE/ASME Transactions on
Publisher
ieee
ISSN
1083-4435
Type
jour
DOI
10.1109/TMECH.2015.2393437
Filename
7047829
Link To Document