2015
DOI: 10.1177/0278364915596234
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Stability and quantization-error analysis of haptic rendering of virtual stiffness and damping

Abstract: The stable, quantization-error noise-free, rendering of high-stiffness dynamics can be challenging using impedance-type haptic displays. In this paper we examine a canonical, one degree of freedom, haptic display rendering a virtual spring and damper, including the effects of the device and human dynamics, sampling, position quantization, time delay, and the low-pass filter operating on the device velocity estimate. We construct various stability and quantization-error regions as a function of the system param… Show more

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Cited by 37 publications
(20 citation statements)
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“…Recent work by Colonnese et al provides a rigorous discussion on stable haptic rendering [25]. VF stability is often guaranteed through the effective but conservative passivity criterion.…”
Section: Related Workmentioning
confidence: 99%
“…Recent work by Colonnese et al provides a rigorous discussion on stable haptic rendering [25]. VF stability is often guaranteed through the effective but conservative passivity criterion.…”
Section: Related Workmentioning
confidence: 99%
“…The transfer function box of this system is shown in Figure 3. Different from Colonnese and Okamura, 21 the motor dynamics is considered in this paper. The motor parameter uncertainties will also influence the control results.…”
Section: System Modelmentioning
confidence: 99%
“…In some haptic rendering systems, the concept of a virtual spring and damper is used: for example, in a teleoperation control system, the master hand could mimic the environment that the slave hand is in contact with, it could copy the dynamic characteristic of the environment, so the human operator could 'feel' the environment. 21 The influence of time delay, 22 sampling rate and even the sensor quantization error on the stability region is discussed, as well as these factors' influence on system response accuracy. [23][24][25] In this work, the advantages of the linear model, discrete model and linear discrete hybrid model are discussed.…”
Section: Introductionmentioning
confidence: 99%
“…In other work, Gil explored the effect of FDM+filter parameters on the Z-width performance in simulation [11]. Colonnese and Okamura [12] presented explicit stability and quantization error regions for virtual spring and damper rendering, offered a software tool to identify system parameters necessary to satisfy desired haptic display objectives, and verified their findings experimentally. In [13], we proposed use of the Levant's differentiator for estimating velocity, and presented preliminary results on Z-width improvement.…”
Section: Introductionmentioning
confidence: 99%