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Planar Translational Cable Direct Driven Robots

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Joints and links are constructed in a serial fashion from the base. Parallel Robots ... Online Dynamic Torque estimation is required for dynamic CDDR with high ... – PowerPoint PPT presentation

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Title: Planar Translational Cable Direct Driven Robots


1
Planar Translational Cable Direct Driven Robots
Thesis Defense
  • By
  • Jigar Vadia

Advisor Dr. Bob Williams
08/12/2002
2
Introduction
  • Robots
  • Electromechanical device with multiple
    degrees-of-freedom (DOF)
  • Programmable to accomplish a variety of tasks
  • Serial Robots
  • Joints and links are constructed in a serial
    fashion from the base
  • Parallel Robots
  • Joints and links, supporting the load in parallel
  • Can handle higher loads with higher speeds
  • Major drawback workspace is severely restricted
    as compared to serial robots

Serial Robot
Parallel Robot
3
Cable Direct Driven Robots (CDDR)
  • Parallel manipulator
  • End effector link is supported by n cables with
    n tensioning motors
  • Lower mass and better stiffness compared to other
    parallel robots
  • Dr Bob Williams and Dr Paolo Gallina introduced
    parallel/serial wrist manipulator architecture
  • Translational freedom provided by CDDR
  • Rotational freedom provided by Serial Wrist
    Mechanism

4
Accomplished work
  • Introduce square end effector with cross cable
    architecture to provide reaction at end effector
  • Provide additional rotational degree of freedom
    and control rotational angle f to zero The robot
    would have one degree of actuation redundancy (4
    cables- 3 d.o.f.) with this change.

5
Objectives
  • Derive Kinematics,Statics and Dynamics modeling
    of new design.
  • Determination of Statics workspace.
  • Designing,building,interfacing of hardware
  • Simulate the robot using Simulink and Matlab
  • Real-time hardware implementation

6
Kinematics
  • Forward Pose Kinematics
  • Newton-Raphson numerical solution was used for
    the solution of over constrained coupled
    nonlinear equations.
  • Inverse Pose Kinematics
  • Forward Rate Kinematics
  • Forward rate solution can be derived by simply
    inverting inverse rate solution
  • Solution only exist if inverse jacobian matrix M
    has full rank.
  • Inverse Rate Kinematics

7
Static Modeling
  • The sum of external forces and moments exerted on
    the end effector by the cables must equal the
    resultant external wrench

Third row is derived by assuming f0
8
Dynamics
  • Dynamic model for end effector

Motor Shaft Pulley Cable Dynamic Equations
9
Dynamics
  • Motor Shaft Pulley-Cable Dynamic Equations

10
Statics Workspace Determination
  • The workspace wherein all cables are under
    positive tension while exerting all possible
    Cartesian wrenches is called the statics
    workspace.
  • Cable Tension can be for CDDR with one degree of
    actuation redundancy can be expressed as
  • Where the particular solution is
  • The homogeneous solution is expressed as the
    kernel vector N of S ( )
    multiplied by arbitrary scalar a.

11
CDDR Hardware
Base Plate
Pulleys
DC Motors
  • Made of Aluminum
  • 3 diameter
  • 24-V
  • Gear ratio-19.71
  • Encoders with 500 C.P.R.
  • 0.25 x 3 x 3 Aluminum base
    plate
  • 4- Vibration control leveling mounts

12
CDDR Hardware
Amplifier
Transformer
MultiQ PCI-Board
  • DC Supply Voltage20V-80V
  • Peak Current- 25 A
  • Max. Continuous Current- 12.5 A
  • 8 Analog I/O
  • 4 Digital I/P
  • 6 Encoder I/P
  • Input Voltage- 120V
  • Output voltage- 30 V

13
Simulation
  • Dynamics of CDDR was simulated using control
    architecture presented by Dr. Bob and Dr. Gallina

Control Architecture
14
Minimum Torques
With Online Torque Estimation
Without Online Torque Estimation
15
Cable Tensions
Without Online Torque Estimation
With Online Torque Estimation
16
Hardware Implementation
  • Only kinematics was implemented for the real time
    hardware implementation due to software
    limitation of Matlab real time workshop.
  • Robot was commanded to follow linear and circular
    trajectory.

17
Linear Trajectory(0,0) to (0.10,0)
  • Robot was commanded to move from origin (center
    of the base plate) to (0.10,0) in 1 second time.
  • End-effector was placed to the origin manually.
  • Kp7500 , Ki0 , Kd 1

18
Results
Length Control
Cartesian Control
19
Results
Cartesian Control Errors
Trajectory Generation
20
Linear Trajectory(0,0) to (0.10,0.10)
  • Robot was commanded to move from origin (center
    of the base plate) to (0.10,0.10) in 1 second
    time.
  • End-effector was placed to the origin manually.
  • Kp15000 , Ki0 , Kd 10

21
Results
Length Control
Cartesian Control
22
Results
Cartesian Control Errors
Trajectory Generation
23
Circular Trajectory
  • Robot was commanded to trace a circle of 0.15
    meter radius keeping the origin as a center.
  • End-effector was placed to the origin manually.
  • Kp15000 , Ki0 , Kd 10

24
Results
Length Control
Cartesian Control
25
Results
Cartesian Control Errors
Trajectory Generation
26
Conclusion
  • Online Dynamic Torque estimation is required for
    dynamic CDDR with high velocities and
    acceleration, otherwise, the simulation revealed
    that some cables become slack during the motion
    and the control is lost.
  • Hardware results had more errors as compared to
    simulated results because dynamics was not
    implemented in real time control.
  • The whole theoretical statics workspace could not
    be used in hardware.It was difficult to move the
    end-effector in the region close to the edges of
    the statics workspace as it needs very large
    force to move the end-effector. It approaches to
    singularity on the edge.
  • Method to maintain positive cable tensions using
    statics was implemented for hardware
    implementation . Method to maintain positive
    cable tensions using dynamics was implemented for
    simulation.
  • A planar translational cable direct driven robot
    with 3 d.o.f. (f commanded to 0 ) and one degree
    of actuation redundancy(4-cables-3 d.o.f.) was
    designed,constructed,simulated and controlled in
    real time.

27
Future Work
  • Performance of the robot can be improved
    drastically if the dynamics can be implemented
    for real time control.
  • Coordinated Cartesian controller could be
    implemented instead of independent length
    controller for better performance.
  • Future work should focus on the real time
    application as well as commercialization of the
    robot.
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