haptics and virtual reality n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Haptics and Virtual Reality PowerPoint Presentation
Download Presentation
Haptics and Virtual Reality

Loading in 2 Seconds...

play fullscreen
1 / 50

Haptics and Virtual Reality - PowerPoint PPT Presentation


  • 152 Views
  • Uploaded on

Haptics and Virtual Reality. Lecture 11: Haptic Control. M. Zareinejad. why do instabilities occur?. fundamentally, instability has the potential to occur because real-world interactions are only approximated in the virtual world

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Haptics and Virtual Reality' - candy


Download Now An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
haptics and virtual reality

Haptics and Virtual Reality

Lecture 11:

  • Haptic Control

M. Zareinejad

why do instabilities occur
why do instabilities occur?
  • fundamentally, instability has the potential to occur because real-world interactions are only approximated in the virtual world
  • although these approximation errors are small, their potentially non-passive nature can have profound effects, notably:
  • instability
  • limit cycle oscillations (which can be just as bad as instability)
passivity
Passivity
  • a useful tool for studying the stability and performance of haptic systems a one-port is passive if the integral of power extracted over time does not exceed the initial energy stored in the system.
passive system properties
Passive system properties

A passive system is stable

z width
Z-width
  • “Z-width” is the dynamic range of impedances that can be rendered with a haptic display while maintaining passivity

we want a large z-width, in particular:

  • zero impedance in free space
  • large impedance during interactions with highly massive/viscous/stiff objects
how do you improve z width
How do you improve Z-width?
  • lower bound depends primarily on mechanical design (can be modified through control)
  • upper bound depends on sensor quantization,

sampled data effects, time delay (in teleoperators), and noise (can be modified through control)

  • in a different category are methods that seek to

create a perceptual effect (e.g., event-based

rendering)

stability of the virtual wall
stability of thevirtual wall

sampled-data system example

direct coupling limitations in 1dof
Direct coupling – limitations in 1DOF

No distinction between simulation and control:

VE used to close the force feedback loop.

In 1DOF:

Energy leaks.

ZOH.

Asynchronous switching.

passivity and stability
Passivity and stability

A passive system is stable.

Any interconnection of passive systems (feedforward or feedback) is stable.

slide12
Real contact

No contact oscillations.

Wall does not generate energy (passive).

Haptic contact

Contact oscillations possible.

Wall may generate energy (may be active).

Haptic vs. physical interaction

terminology interaction behavior
Terminology – interaction behavior
  • Interaction behavior = dynamic relation among port variables (effort & flow).
  • Impedance
    • Measures how much a system impedes motion.
    • Input: velocity.
    • Output: force.
  • Admittance
    • Measures how much a system admits motion.
    • Input: force.
    • Output: velocity.
  • Varies with frequency.
direct coupling network model ctd ii
Direct coupling – network model (ctd. II)

Continuous time system:

Sampled data system – never unconditionally stable!

virtual coupling mechanical model
Virtual coupling – mechanical model
  • Rigid
  • Compliant
  • connection between haptic device and virtual tool
virtual coupling absolute stability
Virtual coupling – absolute stability
  • Llewellyn’s criterion:
  • Need:
    • Physical damping.
    • “Give” during rigid contact.
    • Larger coupling damping for larger contact stiffness.
    • Worst-case for stability: loose grasp during contact.
    • Not transparent.
virtual coupling admittance device
Virtual coupling – admittance device
  • Impedance / admittance duality:
    • Spring inertia.
    • Damper damper.
  • Need:
    • “Give” during contact.
    • Physical damping.
    • Larger coupling damping for larger contact stiffness.
    • Worst case for stability: rigid grasp during free motion.
teleoperation
Teleoperation

Unilateral:

Transmit operator command.

Bilateral:

Feel environment response.

ideal bilateral teleoperator
Ideal bilateral teleoperator
  • Position & force matching:
  • Impedance matching:
  • Intervening impedance:
  • Position & force matching impedance matching.
bilateral teleoperation architectures
Bilateral teleoperation architectures
  • Position/Position (P/P).
  • Position/Force (P/F).
  • Force/Force (F/F).
  • 4 channels (PF/PF).
  • Local force feedback.
general bilateral teleoperator ctd
General bilateral teleoperator (ctd.)
  • Impedance transmitted to user:
  • Perfect transparency:
  • Trade-off between stability & transparency.
haptic teleoperation
Haptic teleoperation

Teleoperation:

Master robot.

Slave robot.

Communication (force, velocity).

Haptics:

Haptic device.

Virtual tool.

Communication (force, velocity).

4 channels teleoperation for haptics
4 channels teleoperation for haptics
  • Transparency requirement:
    • Stiffness rendering (perfect transparency):
    • Inertia rendering (intervening impedance):
  • Control/VE design separated.
direct coupling as bilateral teleoperation
Direct coupling as bilateral teleoperation
  • Perfect transparency.
  • Potentially unstable.
virtual coupling as bilateral teleoperation
Virtual coupling as bilateral teleoperation
  • Not transparent.
  • Unconditionally stable.
stability analysis
Stability analysis
  • Questions:
    • Is the system stable?
    • How stable is the system?
  • Analysis methods:
    • Linear systems:
      • Analysis including Zh and Ze:
        • Non-conservative.
        • Need user & virtual environment models.
      • Analysis without Zh and Ze:
        • Zh and Ze restricted to passive operators.
        • Conservative.
        • No need for user & virtual environment models.
    • Nonlinear systems – based on energy concepts (next lecture):
        • Lyapunov stability.
        • Passivity.
stability analysis with z h and z e
Stability analysis with Zh and Ze
  • Can incorporate time delays.
  • Methods:
    • Routh-Hurwitz:
      • Stability given as a function of multiple variables.
    • Root locus:
      • Can analyze performance.
      • Stability given as function of single parameter.
    • Nyquist stability.
    • Lyapunov stability:
      • Stability margins not available.
      • Cannot incorporate time delay.
    • Small gain theorem:
      • Conservative: considers only magnitude of OL.
    • m-analysis:
      • Accounts for model uncertainties.
stability analysis without z h and z e
Stability analysis without Zh and Ze
  • Absolute stability: network is stable for all possible passive terminations.
    • Llewellyn’s criterion:
      • h11(s) and h22(s) have no poles in RHP.
      • Poles of h11(s) and h22(s) on imaginary axis are simple with real & positive residues.
      • For all frequencies:
    • Network stability parameter (equivalent to last 3 conditions):
    • Perfect transparent system is marginally absolutely stable, i.e.,
stability analysis without z h and z e ctd i
Stability analysis without Zh and Ze (ctd. I)
  • Passivity:
    • Raisbeck’s passivity criterion:
      • h-parameters have no poles in RHP.
      • Poles of h-parameters on imaginary axis are simple with residues satisfying:
      • For all frequencies:
stability analysis without z h and z e ctd ii
Stability analysis without Zh and Ze (ctd. II)
  • Passivity:
    • Scattering parameter S:
    • As function of h-parameters:
    • Perfect transparent system is marginally passive, i.e.,