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Controller Configurations01:22

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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
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An adaptive fuzzy controller based on sliding mode for robot manipulators.

F C Sun1, Z Q Sun, G Feng

  • 1Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 7, 2008
PubMed
Summary

This study introduces adaptive fuzzy control for robotic manipulators using sliding mode. It ensures system stability and accurate trajectory tracking for robots with unknown dynamics.

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Area of Science:

  • Robotics
  • Control Systems Engineering
  • Artificial Intelligence

Background:

  • Robotic manipulators often exhibit complex nonlinear dynamics.
  • Accurate trajectory tracking is crucial for robotic applications.
  • Existing control methods may struggle with unknown robot dynamics.

Purpose of the Study:

  • To develop an adaptive fuzzy control system for robotic manipulators.
  • To address trajectory tracking control for robots with unknown nonlinear dynamics.
  • To ensure system stability and convergence of tracking errors.

Main Methods:

  • Utilizing an adaptive fuzzy system with representative point and its derivative as inputs.
  • Approximating robot nonlinear dynamics near the switching hyperplane.
  • Designing a sliding mode-based adaptive fuzzy control system.
  • Employing Lyapunov techniques to prove stability and convergence.

Main Results:

  • Demonstrated that the adaptive fuzzy system can approximate robot nonlinear dynamics.
  • Proposed a novel adaptive fuzzy control design based on sliding mode.
  • Proved system stability and tracking error convergence using Lyapunov methods.

Conclusions:

  • The proposed adaptive fuzzy sliding mode control is effective for robotic manipulators.
  • This method successfully handles unknown robot dynamics.
  • Guaranteed stability and accurate trajectory tracking are achieved.