DocumentCode :
1292248
Title :
Fuzzy control strategy for Acrobots combining model-free and model-based control
Author :
Lai, X. ; She, J.H. ; Ohyama, Y. ; Cai, Z.
Author_Institution :
Dept. of Autom. Control Eng., Central South Univ. of Technol., Changsha, China
Volume :
146
Issue :
6
fYear :
1999
fDate :
11/1/1999 12:00:00 AM
Firstpage :
505
Lastpage :
510
Abstract :
A fuzzy control strategy for the control of an Acrobot is described. The strategy combines model-free and model-based fuzzy control. The model-free fuzzy controller designed for the up-swing ensures that the energy of the Acrobot increases with each swing. The control law for the torque is derived directly from the energy of the Acrobot. The model-based fuzzy controller, which is based on a Takagi-Sugeno fuzzy model for balancing, employs the concept of parallel distributed compensation. The stability of the fuzzy-control system for balance control is guaranteed by a common symmetric positive matrix, which satisfies linear matrix inequalities and is found by a convex optimisation technique
Keywords :
compensation; fuzzy control; matrix algebra; optimisation; robot dynamics; stability; torque control; Acrobots; Takagi-Sugeno model; convex optimisation; distributed compensation; dynamics; fuzzy control; linear matrix inequality; model-based control; model-free control; stability; torque control;
fLanguage :
English
Journal_Title :
Control Theory and Applications, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2379
Type :
jour
DOI :
10.1049/ip-cta:19990749
Filename :
818076
Link To Document :
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