Robust control of uncertain robotic systems: An adaptive friction compensation approach

This paper solves the robust control problem of robotic manipulator systems with uncertain dynamics by friction compensation approach. A weighting factor is introduced to distinguish the role of friction in control process by comparing the directions of sliding vector and friction. Utilizing the weighting factor, model-based and model-free adaptive friction compensation controllers are designed to achieve asymptotical tracking of the desired joint-space trajectory according to the knowledge of friction. The damping property of friction is fully used to improve the control performance by compensating the friction harmful for the stability, and on the other hand, utilizing the beneficial friction. Numerical simulations are given to demonstrate the control performance of the proposed approach.

Automated summary

This paper presents a method for solving the robust control problem of robotic manipulator systems with uncertain dynamics using a friction compensation approach. By introducing a weighting factor to control and compensate for friction, it fully utilizes the damping property of friction to improve control performance.