Observer-Based Finite-Time Prescribed Performance Sliding Mode Control of Dual-Motor Joints-Driven Robotic Manipulators with Uncertainties and Disturbances

Author:

Xu Jiqian1ORCID,Fang Lijin1ORCID,Wang Huaizhen2ORCID,Zhao Qiankun1ORCID,Wan Yingcai3ORCID,Gao Yue4ORCID

Affiliation:

1. Faculty of Robot Science and Engineering, Northeastern University, Shenyang 110169, China

2. Institute of Shandong New Generation Information Industry Technology, Inspur Group, Gangxing Road, Jinan 250101, China

3. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

4. Beijing Machine Tool Research Institute Co., Ltd., Beijing 101318, China

Abstract

Considering system uncertainties (e.g., gear backlash, unmodeled dynamics, nonlinear friction and parameters perturbation) coupling disturbances weaken the motion performance of robotic systems, an observer-based finite-time prescribed performance sliding mode control with faster reaching law is proposed for robotic manipulators equipped with dual-motor joints (DMJs). In the case where the backlash information is completely unknown, the backlash is maximally eliminated using a simple but efficient dual-motor adaptive anti-backlash strategy. Thus, the design of position tracking controllers for DMJs can be simplified. Then, to deal with the influence of disturbances and residual uncertainties (excluding backlash), a novel finite-time adaptive sliding mode disturbance observer (ASMDO) is proposed to practically estimate the lumped uncertainties where their upper bounds are assumed to be unknown. Finally, a finite-time composite fast non-singular terminal sliding mode (TSM) controller, integrated with the prescribed performance principle, is proposed in this paper. To enhance the convergence rate, a novel TSM-type reaching law has been developed. The controller ensures that the tracking error is not only stabilized within a finite-time convergence rate but also adheres to a predefined maximum transient-steady-state error. The proposed scheme is implemented through simulation and experimental results, demonstrating its superior performance.

Funder

National Natural Science Foundation of China

Science and Technology Small and Medium Enterprises Innovation Ability Enhancement Project of Shandong Province

Key R&D Plan of Shandong Province

Publisher

MDPI AG

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