JOURNAL ARTICLE

Robust adaptive control of flexible joint robots with joint torque feedback

Abstract

This paper addresses motion control issues of flexible joint robot manipulators using joint torque feedback. A two-stage control scheme consisting of a motion controller and a joint torque controller is established in a systematic way for the general n-link case. To deal with uncertainties in the robotic system, a robust adaptive control algorithm is developed assuming that all system parameters including the joint flexibility values are unknown except for some of their bounds. The system stability is analyzed via Lyapunov stability theory. The result has the distinct feature that no restriction of joint flexibility, nor exact knowledge of the parameters of rotor subsystem is required. The outcome is a useful framework for generalization of control methods previously developed for rigid robots. Simulation results verify the effectiveness of the proposed control methods.

Keywords:
Control theory (sociology) Flexibility (engineering) Torque Robot Controller (irrigation) Computer science Adaptive control Control engineering Lyapunov function Stability (learning theory) Joint (building) Motion control Lyapunov stability Robust control Robotics Rotor (electric) Control system Engineering Control (management) Artificial intelligence Mathematics Nonlinear system

Metrics

70
Cited By
10.58
FWCI (Field Weighted Citation Impact)
21
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Dynamics and Control of Mechanical Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Iterative Learning Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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