<p>Mobile robots are widely used in various fields such as transport, service, agriculture, military, planetary exploration, etc. An important problem in mobile robot applications is the realization of precise control of the robot’s movement path.To achieve a successful trajectory tracking control of the differential-driven mobile robot, the speed of the two driving wheels must be precisely controlled. Several control techniques have been used, including PID controller and fuzzy controller, to control the speed of the drive wheel. In this paper, a method for reducing the trajectory tracking error using PID controller and cross-coupled controller is proposed. The PID control of the individual motor and the cross-coupling control for error compensation are implemented to reduce the trajectory tracking error. To verify the effectiveness of the proposed method, simulation with MATLAB/SIMULINK are carried out. Experimental results showed that the trajectory tracking error could be significantly reduced using the proposed method.</p>

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Trajectory tracking control of an articulated differential-driven mobile robot using a cross-coupled controller

  • Yong-Il Kim,
  • Kang-Guk Kim,
  • Kum-Pyong Kim,
  • Kum-Song Ri

摘要

Mobile robots are widely used in various fields such as transport, service, agriculture, military, planetary exploration, etc. An important problem in mobile robot applications is the realization of precise control of the robot’s movement path.To achieve a successful trajectory tracking control of the differential-driven mobile robot, the speed of the two driving wheels must be precisely controlled. Several control techniques have been used, including PID controller and fuzzy controller, to control the speed of the drive wheel. In this paper, a method for reducing the trajectory tracking error using PID controller and cross-coupled controller is proposed. The PID control of the individual motor and the cross-coupling control for error compensation are implemented to reduce the trajectory tracking error. To verify the effectiveness of the proposed method, simulation with MATLAB/SIMULINK are carried out. Experimental results showed that the trajectory tracking error could be significantly reduced using the proposed method.