Kinematics, Localization and Control of Differential Drive Mobile Robot

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Sandeep Kumar Malu
Sandeep Kumar Malu
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Jharna Majumdar
Jharna Majumdar
α Visvesvaraya Technological University

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Kinematics, Localization and Control of Differential Drive Mobile Robot

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Abstract

The present work focuses on Kinematics, Localization and closed loop motion control of a differential drive mobile robot which is capable of navigating to a desired goal location in an obstacle free static indoor environment. Two trajectory planning approaches are made (i) the robot is rotated to eliminate orientation error and then translate to overcome distance error (ii) Both rotational and translational motion is given to the robot to overcome orientation and distance error simultaneously. Localization is estimated by integrating the robot movement in a fixed sampling frequency. The control law is based on kinematics model which provides updated reference speed to the high frequency PID control of DC motor. Stability of proposed control law is validated by Lyapunov Criterion. Both experimental and simulation results confirm the effectiveness of the achieved control algorithms and their efficient implementation on a two wheeled differential drive mobile robot using an 8-bit microcontroller.

References

11 Cites in Article
  1. Sung-On Lee,Young-Jo Cho,Myung Hwang-Bo,Bum-Jae You,San-Rok Oh (2000). A Stable Target Tracking Control for Unicycle Robots.
  2. L Feng,Y Koren,J Borenstein (1994). A model-reference adaptive motion controller for a differentialdrive mobile robot.
  3. Jong-Woo Moon,Chong-Kug Park,F Harashima (1999). Kinematic correction of a differential drive mobile robot and a design for velocity trajectory with acceleration constraints on motor controllers.
  4. Mariam Al-Sagban,Rached Dhaouadi (2012). Neural-based navigation of a differential-drive mobile robot.
  5. Soonshin Han,Hyungsoo Lim,Jangmyung Lee (2007). An Efficient Localization Scheme for a Differential-Driving Mobile Robot Based on RFID System.
  6. Shouling He (2005). Feedback control design of differential-drive wheeled mobile robots.
  7. Dongkyoung Chwa (2010). Tracking Control of Differential-Drive Wheeled Mobile Robots Using a Backstepping-Like Feedback Linearization.
  8. S Weerasooriya,M El-Sharkawi (1991). Identification and control of a DC motor using back propagation neural networks.
  9. J Reyer,P Papalambros (2000). An Investigation into Modeling and Solution Strategies for Optimal Design and Control.
  10. F-J Lin,K-K Shyu,Y-S Lin (1999). Variable structure adaptive controlfor PM synchronous servo motor drive.
  11. A Rubaai,R Kotaru (2000). Online identification and control of a DC motor using learning adaptation of neural networks.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sandeep Kumar Malu. 2014. \u201cKinematics, Localization and Control of Differential Drive Mobile Robot\u201d. Global Journal of Research in Engineering - H: Robotics & Nano-Tec GJRE-H Volume 14 (GJRE Volume 14 Issue H1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date

November 19, 2014

Language
en
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The present work focuses on Kinematics, Localization and closed loop motion control of a differential drive mobile robot which is capable of navigating to a desired goal location in an obstacle free static indoor environment. Two trajectory planning approaches are made (i) the robot is rotated to eliminate orientation error and then translate to overcome distance error (ii) Both rotational and translational motion is given to the robot to overcome orientation and distance error simultaneously. Localization is estimated by integrating the robot movement in a fixed sampling frequency. The control law is based on kinematics model which provides updated reference speed to the high frequency PID control of DC motor. Stability of proposed control law is validated by Lyapunov Criterion. Both experimental and simulation results confirm the effectiveness of the achieved control algorithms and their efficient implementation on a two wheeled differential drive mobile robot using an 8-bit microcontroller.

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Kinematics, Localization and Control of Differential Drive Mobile Robot

Sandeep Kumar Malu
Sandeep Kumar Malu Visvesvaraya Technological University
Jharna Majumdar
Jharna Majumdar

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