JOURNAL ARTICLE

Robust control of flexible joint robots

Abstract

A new robust control scheme for general flexible joint robots with possible bounded parametric or structural uncertainty is derived using the pseudo-sliding surface concept. The switching control law derived from a set of approaching laws forces the robotic system tracking error vector to reach and remain on the shrinking superbox defined by a set of pseudo-sliding surfaces. The tracking errors can be proved to be globally and asymptotically convergent. The advantages of this approach are: (1) it is easy to define pseudo-sliding surfaces for the flexible joint robotic systems and to derive the robust control laws; (2) the control actions are chatter-free; (3) the control laws are based on the positions and velocities of the motor and joint angles only, therefore, no acceleration and jerk measurements or estimations are needed; and (4) the uncertainties in robotic system models do not need to satisfy any matching condition. Simulations, performed on a two-link planar manipulator, demonstrated the feasibility of this new scheme.< >

Keywords:
Control theory (sociology) Robot Bounded function Parametric statistics Jerk Computer science Controller (irrigation) Robust control Acceleration Planar Set (abstract data type) Law Matching (statistics) Control engineering Control system Artificial intelligence Mathematics Control (management) Engineering

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9
Cited By
1.87
FWCI (Field Weighted Citation Impact)
18
Refs
0.86
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Is in top 1%
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Citation History

Topics

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