Based on fuzzy-approximation adaptive backstepping control method for dual-arm of humanoid robot with trajectory tracking

Guoli Jiang,Zhigui Liu,Guanwu Jiang,Keqiang Bai

doi:10.1177/1729881419831904

Abstract

In this article, a fuzzy-approximation-based adaptive backstepping control method for dual-arm of a humanoid robot was proposed. The purpose of this control system is to provide coordinated movement assistance to enable the humanoid robot’s human-like forearm to grab objects coordinately (or track any continuous desired trajectory), even in the presence of environmental disturbances and parametric uncertainties. We analyze the proposed adaptive backstepping by mathematical modeling and actually measure the robot dual-arm motion information of a number of case when they simulate the trajectory to verify the model. We design the adaptive fuzzy-approximation control strategy and combining the synthesis of the robust design, backstepping control, and Lyapunov function method, the proposed adaptive fuzzy backstepping control does not need to know the humanoid robot’s arms model precisely. In the control system proposed here, once the desired trajectories of the robot’s dual-arm positions are given, the adaptive fuzzy system was closed to any unknown functions and to the derivative of the virtual control law of the humanoid robot system. In this case, a robust design scheme was utilized to compensate for any approximation errors. With the proposed trajectory tracking, not only able to generate the coordinate motions for a humanoid robot’s two arms, but it can also control the arms to move to the desired positions. The proposed closed-loop system under the adaptive fuzzy backstepping control design was effective and that asymptotic stability was successfully achieved. The adaptive fuzzy-approximation backstepping control strategy should be more complete and intelligent and more actual test should be conducted to further evaluate the effect of the proposed trajectory tracking. The instability of dual-arm of humanoid robot system is systematically analyzed and a backstepping control strategy based on the adaptive fuzzy-approximation to improve the continuity of trajectory tracking of the robot’s arms is proposed.

Highlights

Humanoid dual-arm robots have recently attracted the attention of researchers, since they can potentially replace a vast number of repetitive and tedious human movements
(2) Since a robust scheme is designed to compensate for an approximation error, the proposed adaptive fuzzy backstepping control (AFBC) approach can accurately track the trajectory of the robot arm, does not need to know the humanoid robot’s arms model precisely
We propose an approximation-based adaptive backstepping control for dual arm of a humanoid robot to track the desired periodic trajectories

Summary

Introduction

Humanoid dual-arm robots have recently attracted the attention of researchers, since they can potentially replace a vast number of repetitive and tedious human movements. An adaptive fuzzy approximation backstepping control approach is developed for dual-arm of humanoid robot with trajectory tracking. Compared with the existing results, the main contributions of this article can be summarized as follows: (1) the proposed fuzzy approximation-based adaptive backstepping control approach can be applied to possess environmental disturbances and parametric uncertainties systems with a humanoid robot’s human-like forearm to grab objects.

Results

Conclusion