Vision guided dynamic synchronous path tracking control of dual manipulator cooperative system

Compared with a single manipulator manufacturing cell, a dual manipulator cooperative system has more advantages in reconfigurability and flexibility. However, there are calibration errors and multi-source disturbances in the collaborative process, which lead to the processing trajectory accuracy defects of large-scale associated machining features. To solve the above problems, a practical path tracking synchronous control algorithm is proposed based on position based visual servoing (PBVS) in this paper for the dual manipulator cooperative system, the proposed dynamic cross-coupled sliding mode controller (DCSMC) scheme can realize dynamic paths correction while executing the pre-planned paths. Moreover, since the cross-coupled technology is integrated into the proposed control algorithm for dynamic path tracking based on the real-time feedback of the highly repeatable 3D visual measurement instrument (VMI), both the tracking and synchronous errors of the dual manipulators converge to zero. Finally, the stability of the proposed controller has been verified by the Lyapunov method. In the end, the real-time line and circle path tracking experimental results using two industrial manipulators demonstrate that the proposed scheme can achieve better synchronous tracking accuracy than the independent control scheme.