Applications of Fuzzy Sliding Mode Control for a Gyroscope System
Author(s) -
Shih-Chung Chen,
ChaoLin Kuo,
ChiaHung Lin,
Chih-Hung Hsu,
Chien-Kuo Tsui
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/931285
Subject(s) - gyroscope , control theory (sociology) , sliding mode control , chaotic , controller (irrigation) , fuzzy logic , fuzzy control system , nonlinear system , mathematics , computer science , artificial intelligence , engineering , control (management) , physics , agronomy , quantum mechanics , biology , aerospace engineering
The study proposed the application of the fuzzy sliding mode for a gyroscope system status control. The state response analysis of the gyroscope system revealed highly nonlinear and chaotic subharmonic motions of 2T during state formation. The current study discussed the use of tracking control on the sliding mode control and fuzzy sliding mode control of a gyroscope control system. Consequently, the gyroscope system drives from chaotic motion to periodic motion. The numerical simulation results confirm that the proposed controller provides good system stability and convergence without chattering phenomena
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom