2020
DOI: 10.3390/e22070723
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A New Adaptive Synergetic Control Design for Single Link Robot Arm Actuated by Pneumatic Muscles

Abstract: This paper suggests a new control design based on the concept of Synergetic Control theory for controlling a one-link robot arm actuated by Pneumatic artificial muscles (PAMs) in opposing bicep/tricep positions. The synergetic control design is first established based on known system parameters. However, in real PAM-actuated systems, the uncertainties are inherited features in their parameters and hence an adaptive synergetic control algorithm is proposed and synthesized for a PAM-actuated robot arm subjected … Show more

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Cited by 52 publications
(24 citation statements)
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“…Now putting the values ofż 1 ,ż 2 ,ż 3 andż 4 from equations ( 36) to (39) in equations ( 45) to (48) respectively, we have:…”
Section: A Adaptive Terminal Sliding Mode Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…Now putting the values ofż 1 ,ż 2 ,ż 3 andż 4 from equations ( 36) to (39) in equations ( 45) to (48) respectively, we have:…”
Section: A Adaptive Terminal Sliding Mode Controllermentioning
confidence: 99%
“…[37], [38]. ASC is designed by considering the macro-variables with the tracking errors to cater for the parametric variations of system [39], [40]. ATSMC provides good robustness against external disturbances and shows better results by adapting the values of unknown parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, this is a very conservative approach and will not be adopted in this work. Here, an adaptive control design will be proposed, in order to incorporate estimated values of the uncertainties in the control law [35][36][37].…”
Section: Adaptive Backstepping Control Designmentioning
confidence: 99%
“…In our opinion, the Analytical Design of Aggregated Regulators (ADAR) method, developed as part of synergetic control theory [8][9][10][11][12][13][14][15][16][17][18], which provides asymptotic stability of the automatic control system as a whole in a wide range of changes in state variables and the input variables appear promising in this regard.…”
Section: Introductionmentioning
confidence: 99%