2022
DOI: 10.3390/aerospace9070368
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A Passivity-Based Velocity Control Method of Hardware-in-the-Loop Simulation for Space Robotic Operations

Abstract: The hardware-in-the-loop (HIL) simulation is an important approach to test space robotic operations, rendering virtual free-floating dynamics on robotic facilities. However, this approach suffers from velocity divergence due to intrinsic time delay in the control loop. This paper proposes a passivity-based control strategy to handle the simulation divergence. A HIL simulation system with an industrial robot is modelled and its divergence problems are analyzed through numerical simulations. Then, through repres… Show more

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Cited by 2 publications
(3 citation statements)
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References 27 publications
(42 reference statements)
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“…Here, the Sage-Husa AKF is adopted for estimations of the contact stiffness and damping, which can be written as where X(t) = [k d (t), c d (t)] T is the state vector; Z(t) = ΔF s (t) is the measurement vector; W(t − 1) is the measurement noise at time t −1; V(t) is observation noise; A(t) is the state-transition matrix from t − 1 to t; G(t) is the system noise matrix; and H(t)=[Δp(t), Δv(t)] T is the observation (22) �p(t) = (r P (t) − r P (t − 1)) • e, (23)…”
Section: Parameter Identificationmentioning
confidence: 99%
See 1 more Smart Citation
“…Here, the Sage-Husa AKF is adopted for estimations of the contact stiffness and damping, which can be written as where X(t) = [k d (t), c d (t)] T is the state vector; Z(t) = ΔF s (t) is the measurement vector; W(t − 1) is the measurement noise at time t −1; V(t) is observation noise; A(t) is the state-transition matrix from t − 1 to t; G(t) is the system noise matrix; and H(t)=[Δp(t), Δv(t)] T is the observation (22) �p(t) = (r P (t) − r P (t − 1)) • e, (23)…”
Section: Parameter Identificationmentioning
confidence: 99%
“…Considering that the passivity of the whole system is a sufficient condition for stable dynamic behaviors, the passivity-based control strategy for the response delay was proposed to obtain a stable dynamic simulation [21]. However, the reproducibility of contact force has not been discussed [22].…”
Section: Introductionmentioning
confidence: 99%
“…In this study, a HIL docking simulator was used to describe the motion and dynamics of the system. In the field of electrical drive control, HIL simulation has been used to improve convenience and flexibility in an application involving space robots [15,16], as well as for implementing tasks such as repair, upgrade, transportation, and recuse [14,15]. Visteon Corp. applied HIL simulation to improve quality and reduce the cost of its testing systems [17].…”
Section: Introductionmentioning
confidence: 99%