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Related Experiment Video

Updated: Aug 14, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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Hierarchical multiloop MPC scheme for robot manipulators with nonlinear disturbance observer.

Xingjia Li1, Jinan Gu1, Zedong Huang1

  • 1School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China.

Mathematical Biosciences and Engineering : MBE
|January 19, 2023
PubMed
Summary

A new control method enhances robot manipulator performance by combining feedback linearization and a nonlinear disturbance observer. This robust model predictive control (MPC) scheme improves trajectory tracking accuracy and stability in the presence of disturbances.

Keywords:
hierarchical multiloop MPC schemeinverse dynamicsmodel predictive control (MPC)nonlinear disturbance observer (NDO)trajectory tracking

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Area of Science:

  • Robotics
  • Control Systems Engineering
  • Mechatronics

Background:

  • Robot manipulators require precise control for complex tasks.
  • Traditional control methods struggle with external disturbances and model uncertainties.
  • Enhancing robustness is crucial for reliable robotic system operation.

Purpose of the Study:

  • To propose a novel hierarchical multiloop model predictive control (MPC) scheme.
  • To improve the robustness and accuracy of robot manipulator trajectory tracking.
  • To address control challenges posed by external disturbances and system uncertainties.

Main Methods:

  • Implemented inverse dynamics-based feedback linearization to decouple robot manipulator dynamics.
  • Integrated a nonlinear disturbance observer (NDO) for uncertainty and disturbance compensation.
  • Developed a hierarchical multiloop MPC framework combining these techniques.

Main Results:

  • The proposed scheme effectively decoupled the multi-link robot manipulator, reducing computational load.
  • The NDO successfully compensated for external disturbances and uncertainties, enhancing controller robustness.
  • Simulations on a 3-DOF robot manipulator demonstrated comparative accuracy and superior robustness.

Conclusions:

  • The hierarchical multiloop MPC scheme offers an effective solution for robust robot manipulator control.
  • The integration of feedback linearization and NDO significantly improves trajectory tracking performance.
  • This approach advances the state-of-the-art for controlling robotic systems in uncertain environments.