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Arabian Journal for Science and Engineering

, Volume 44, Issue 2, pp 881–892 | Cite as

Tracking-Error Fuzzy-Based Control for Nonholonomic Wheeled Robots

  • Mohammad Hossein Falsafi
  • Khalil Alipour
  • Bahram Tarvirdizadeh
Research Article - Mechanical Engineering
  • 35 Downloads

Abstract

In this paper, the trajectory to be tracked by a differentially driven wheeled mobile robot (DDWMR) is controlled. The considered DDWMR has a chassis with two active wheels and a front idle wheel. After introducing the kinematic model of the robot, the robot trajectory tracking problem using fuzzy and optimal fuzzy logic methods will be analyzed. Also, the same mission will be conducted using model predictive control (MPC) method. Minimizing the path tracking error is the objective of the controllers design. Moreover, the velocity and acceleration constraints are included in the proposed controllers design procedure to prevent the DDWMR from slipping and path curvature deviation. Finally, tracking error results for fuzzy, optimal fuzzy and model predictive controllers are compared. The tracking error analysis of the obtained simulation results, in MATLAB software, reveals the better performance of the designed fuzzy controller (FC) over the MPC, and the better performance of the designed optimal fuzzy controller over the FC.

Keywords

Mobile robotics Wheeled robots Trajectory tracking Differentially driven Robot fuzzy control 

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Copyright information

© King Fahd University of Petroleum & Minerals 2018

Authors and Affiliations

  • Mohammad Hossein Falsafi
    • 1
  • Khalil Alipour
    • 1
  • Bahram Tarvirdizadeh
    • 1
  1. 1.Advanced Service Robots (ASR) Laboratory, Department of Mechatronics Engineering, Faculty of New Sciences and TechnologiesUniversity of TehranTehranIran

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