Modeling, Identification and Control of a Pneumatically Actuated, Force Controllable Robot - PowerPoint PPT Presentation

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Modeling, Identification and Control of a Pneumatically Actuated, Force Controllable Robot

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... due to no loss assumption Makes new equation that fits Does not compare equation with physics Two ... describes some pneumatic robots Not too ... – PowerPoint PPT presentation

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Title: Modeling, Identification and Control of a Pneumatically Actuated, Force Controllable Robot


1
Modeling, Identification and Control of a
Pneumatically Actuated, Force Controllable Robot
  • By James E Bobrow Brian W McDonell
  • Critiqued by Alan Jennings

2
The System Pneumatic Actuated Robot
Develop mathematical model Describes torque and
position
Identify System Constants
Demonstrate Results
3
Abstract
  • What is to be done?
  • Model controlling position and force of pneumatic
    robot
  • What is new?
  • Use of nonlinear dynamics
  • Compressed air valve including losses
  • How is this done?
  • By theory and experiments
  • Why is this being done?
  • No need of torque/force sensor

4
Introduction
  • The Need
  • What has been done
  • What this research will do
  • Derive Nonlinear model
  • Experimentally show common inaccuracy
  • Model robot as coupled system
  • Develop path and force controller
  • Demonstrate system strength and weakness

5
Robot Description
  • Good
  • Pictures of robot
  • Describes max force, outstretched force sensor
    location, position resolution more
  • Bad
  • No brand names or model numbers
  • Describing actuator with out fixed points

6
Pneumatic Actuator Model
  • Great Derivation
  • Starts from energy balance and Fma
  • Ignores Heat transfer based on time constant
  • Identifies needed measurements

7
Valve Flow CharacteristicsA.K.A. Finding mass
flow rate
  • Evaluates standard equation and compares with
    actual test
  • Invents test to easily measure by setting volume
    constant
  • Poor fit, due to no loss assumption
  • Makes new equation that fits
  • Does not compare equation with physics
  • Two misprints, equation and (t) not in list

8
Control Law for Pneumatic System
  • Does not account for changing inertia
  • Notation not included in chart
  • Describes two methods but uses a third for
    experiments
  • Control is not related to robot
  • Units switch

9
Experiments
  • Results are very clear
  • Makes best comparisons possible
  • Non-filtered results
  • Some things unclear
  • how joint torques are measured
  • location of movement
  • speed

10
Conclusion
  • Pulled paper together very well
  • Reviewed the steps
  • Stressed important areas
  • Adds new information
  • Claims flow separation is cause of low bandwidth

11
Overall
  • Questions?
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