2016
DOI: 10.1007/s10514-015-9537-x
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Spatio-temporal stiffness optimization with switching dynamics

Abstract: We address the optimal control problem of robotic systems with variable stiffness actuation (VSA) including switching dynamics and discontinuous state transitions. Our focus in this paper is to consider dynamic tasks that have multiple phases of movement, contacts and impacts with the environment with a requirement of exploiting passive dynamics of the system. By modelling such tasks as a hybrid dynamical system with time-based switching, we develop a systematic methodology to simultaneously optimize control c… Show more

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Cited by 13 publications
(7 citation statements)
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“…4. Motivated by the key observations mentioned in Section IV and inspired by the bilevel method presented in [61] as well as the "Mixed-Logic Program" [57], we combine the two formulations presented in (7) and (8) into a single bilevel optimization formulation, as follows…”
Section: Bilevel Optimizationmentioning
confidence: 99%
“…4. Motivated by the key observations mentioned in Section IV and inspired by the bilevel method presented in [61] as well as the "Mixed-Logic Program" [57], we combine the two formulations presented in (7) and (8) into a single bilevel optimization formulation, as follows…”
Section: Bilevel Optimizationmentioning
confidence: 99%
“…To address this problem, we employ a two-bar linkage mechanism that will reduce the complexity and weight of the mechanism, making the system easier to control and more applicable to use. It is similar to the mechanism in [63], which use a variable stiffness actuator with two motors. In contrast, here, we only design one actuating input at the elbow joint for swinging.…”
Section: Conceptmentioning
confidence: 99%
“…Through the transformation of the state vector, the inequality constraints about angles of stiffness adjusting motor θ stiff and deformations ϕ(q, θ) are eliminated and embedded into the system dynamics, which means that under the control threshold in (19) the state inequality constraint of deformation in (12) and stiffness motor position in (11) will not be violated. However, except these embedded constraints, there are other constraints that cannot be embedded into the system dynamics.…”
Section: A Handling the Inequality Constraintsmentioning
confidence: 99%
“…Substituting the new system state (20), (23) and control variables (19), the new state-space dynamic can be represented asẋ…”
Section: B System Dynamic Transformationmentioning
confidence: 99%
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