2020
DOI: 10.1177/1729881420911774
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Robust tracking control for two classes of variable stiffness actuators based on linear extended state observer with estimation error compensation

Abstract: In this article, a novel robust tracking control scheme based on linear extended state observer with estimation error compensation is proposed for the tracking control of the antagonistic variable stiffness actuator based on equivalent nonlinear torsion spring and the serial variable stiffness actuator based on lever mechanism. For the dynamic models of these two classes of variable stiffness actuators, considering the parametric uncertainties, the unknown friction torques acting on the driving units, the unkn… Show more

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Cited by 6 publications
(3 citation statements)
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References 41 publications
(174 reference statements)
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“…When the VSJ is used as the actuation joint of the robot, its variable stiffness characteristics and the independent controllability of the joint position and stiffness will be conducive to improving the adaptability of the robot task and the safety of physical human-robot interaction. The VSJ with series configuration based on equivalent lever mechanism has the advantages of low energy consumption in joint stiffness adjustment, so there are many researches on this type of VSJs at present [1,4,7,8,9,[11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]37]. For the existing VSJs with series configuration based on the equivalent lever mechanisms [4,[11][12][13][14][15][16]37], although they usually have different model parameters, elastic actuation torque functions and reaction torque functions, this type of VSJs all have the same structural type of the system dynamics model [36], as shown in equation (1).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…When the VSJ is used as the actuation joint of the robot, its variable stiffness characteristics and the independent controllability of the joint position and stiffness will be conducive to improving the adaptability of the robot task and the safety of physical human-robot interaction. The VSJ with series configuration based on equivalent lever mechanism has the advantages of low energy consumption in joint stiffness adjustment, so there are many researches on this type of VSJs at present [1,4,7,8,9,[11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]37]. For the existing VSJs with series configuration based on the equivalent lever mechanisms [4,[11][12][13][14][15][16]37], although they usually have different model parameters, elastic actuation torque functions and reaction torque functions, this type of VSJs all have the same structural type of the system dynamics model [36], as shown in equation (1).…”
Section: Discussionmentioning
confidence: 99%
“…A robust tracking controller based on feedback linearization, disturbance observer (DOB) and sliding mode control is designed for the simultaneous tracking control of the position and stiffness of the AwAS-II, and the effectiveness of the controller has been illustrated by simulation results [20]. A robust tracking control scheme based on linear extended state observer with estimation error compensation is proposed for the tracking control of the antagonistic VSJ based on equivalent nonlinear torsion spring and the serial VSA based on the equivalent lever mechanism, and the effectiveness of the proposed controller is verified by simulation results [21]. A DOB based composite controller is developed to achieve the tracking control of the stiffness and position of the SVSA, and the effectiveness of the controller is experimentally verified [22,23].…”
Section: Introductionmentioning
confidence: 97%
“…For an inflatable soft robot, the performances of the MPC and SMC approaches were compared in [16]. A linear extended state observer with estimation error compensation was applied to AVSA for the robust tracking control of position and stiffness [30]. The decoupled nonlinear adaptive control of position and stiffness for a pneumatic soft robot with a McKibben muscle was proposed in [31].…”
Section: Introductionmentioning
confidence: 99%