DocumentCode :
162292
Title :
Reference model for hybrid adaptive control of pneumatic muscle actuator
Author :
Tothova, M. ; Pitel, J.
Author_Institution :
Dept. of Math., Inf. & Cybern., Tech. Univ. of Kosice, Presov, Slovakia
fYear :
2014
fDate :
15-17 May 2014
Firstpage :
105
Lastpage :
109
Abstract :
Pneumatic muscle actuator exhibits strong nonlinear behavior and it requires use advanced control algorithms based also on computational intelligence techniques as for example hybrid fuzzy adaptive control. These sophisticated control methods could be capable of handling the system´s nonlinear properties. In the paper there is presented nonlinear dynamic model of one-DOF pneumatic muscle actuator for use as reference model in adaptation mechanism of hybrid adaptive fuzzy controller. This dynamic model was designed using different muscle models and some simulation results are presented in the paper.
Keywords :
adaptive control; electroactive polymer actuators; fuzzy control; nonlinear dynamical systems; pneumatic actuators; adaptation mechanism; advanced control algorithms; computational intelligence techniques; hybrid fuzzy adaptive control; nonlinear behavior; nonlinear dynamic model; one-DOF pneumatic muscle actuator; reference model; system nonlinear property; Actuators; Adaptation models; Atmospheric modeling; Computational modeling; Mathematical model; Muscles; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
Conference_Location :
Timisoara
Type :
conf
DOI :
10.1109/SACI.2014.6840044
Filename :
6840044
Link To Document :
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