BTP - Final(335,340)_final

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DESIGN DEVELOPMENT AND CONTROL OF A 3-PPR MANIPULATOR V. Vinoth(1100335) Y. Ravi Kiran(1100340) Indian Institute of Technology - Indore Guide : Dr. M. Santhakumar

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Design and development of a 3-PPR Manipulator

Transcript of BTP - Final(335,340)_final

  • DESIGN DEVELOPMENT AND

    CONTROL OF A 3-PPR MANIPULATOR

    V. Vinoth(1100335)

    Y. Ravi Kiran(1100340)

    Indian Institute of Technology - Indore

    Guide : Dr. M. Santhakumar

  • Introduction

    What are serial and parallel mechanisms and how is one superior to the other?

    What are XYz planar platforms and what is their need?

    What this project proposes?

    Advantages and limitations of the proposed planar platform used here.

  • Project Plan

    15-May 21-Jun 28-Jul 03-Sep 10-Oct 16-Nov

    Literature review

    CAD Modelling

    Refinement of the model and detailing

    Kinematic modelling

    Dynamic modelling

    Kinematic simulations and feasibility analysis

    Material Selection and Design Optimatization

    Fabrication

    Controller Design

    Numerical simulations

    Sensor selection and calibration

    Experimental simulation and validation

    Report Completion and Submission

  • Construction and Visualization

    Solid model of the manipulator Kinematic link Parameters

  • Fabricated Prototype

    1

    4

    3

    2

    6

    5

    1. Control Scheme

    2. Camera

    3. Power Supply

    4. Controller

    5. Linear Actuator

    6. End-effector

  • Comparison Workspace

  • Comparison Performance Parameters

    Manipulability Resistivity

    Isotropy

  • Kinematic Modelling

    The kinematic analysis refers to the development of relations

    between the position (x and y) and orientation () of the end-

    effector/work table (task space parameters) and the joint space

    parameters (in this case r1, r2 and r3).

  • Dynamic Modelling

    The dynamic model of the proposed platform is developed using

    the Euler-Lagrangian formulation method based on the kinetic

    and potential energies associated with the system.

    The Lagrangian term, L = KE PE ;

    i

    ii

    d KE KEf

    dt dd

    disCM ,

  • Control Scheme

  • Real-time controller

  • Numerical Simulations Trajectory Tracking

    Desired Trajectory - explained Trajectory Tracking - Simulations

  • Simulation Results

    Task space

    data during

    tracking

    Task space

    error during

    tracking

  • Time histories of the linear actuator control inputs (voltages) during

    desired trajectory tracking experiment

    Simulation Results

  • Equations for Reference

    ),()~sign(dt

    dsign)(

    21 CKKM

    dcon

    discon

    CLLM

    L

    ),()~sign(dt

    d)(

    1 con

    dis

    )~sign(~

    Control equation

    Disturbance

    Observer

    PD like adaptive sliding mode control

  • Applications

    (Industrial)

  • Applications (Medical Robot)

  • Conclusions

    This project addressed the dynamic analysis

    of an existing three degrees of freedom (3-

    PPR) planar robotic parallel manipulator and

    proposed a disturbance observer based

    sliding mode control scheme.

    This work can be extended easily for spatial

    parallel robotic platforms.

  • Visible Output

    (1). Robust Disturbance Observer based Sliding Mode Control of

    a Planar Parallel (3-PPR) Manipulator, IEEE SCES 14 (Best

    Paper Award)

    (2). Inverse Dynamics and Control of a 3-DOF Planar Parallel

    Robotic (U-Shaped 3-PPR) Manipulator, Journal of Robotics and

    Computer Integrated Manufacturing.

  • Thank You!

    Questions?

    Acknowledgements:

    We thank our guide Dr. M. Santhakumar, the

    Director, IITI for providing us the

    infrastructure, CRC lab, research scholars and

    other lab members for intellectual support

    and the Central Workshop for helping us in

    fabricating the prototype.

    This project wouldnt have been possible

    without help from all these people.