Hierarchical tracking task control in redundant manipulators with compliance control in the null-space. (November 2018)

• Record Type: Journal Article
• Authors: Karami, Abbas; Sadeghian, Hamid; Keshmiri, Mehid; Oriolo, Giuseppe
• Is Part Of: Mechatronics. Volume 55(2018)
• Page Start: 171
• Page End: 179
• Publication Date: 2018-11
• Subjects: Redundant manipulators -- Prioritized control -- Multi-task tracking -- Physical interaction -- Disturbance observer -- Null-space compliance; Computer integrated manufacturing systems -- Periodicals; Flexible manufacturing systems -- Periodicals; Mechatronics -- Periodicals; Productique -- Périodiques; Fabrication, Systèmes flexibles de -- Périodiques; Mécatronique -- Périodiques; Computer integrated manufacturing systems; Flexible manufacturing systems; Mechatronics; Periodicals; 629.89
• DOI: 10.1016/j.mechatronics.2018.09.005
• Languages: English
• ISSNs: 0957-4158

Abstract

Abstract: In this paper, a new approach for dealing with multiple tracking tasks during physical interaction is proposed. By using this method, multiple tasks are accomplished based on the assigned priority in addition to a compliant behavior in the null-space of the main tasks. This issue is critical when robots are employed for complex manipulation in unknown environments and in the presence of human. During the manipulation in the dynamic environments, different objects may collide with the robot body and disturb its manipulation. In these cases, the robot is expected to continue execution of the tasks, accurately. Meanwhile, the robot should be compliant to ensure the safety during the interaction. A nonlinear controller-observer is proposed for tracking the desired trajectory based on a preallocated hierarchy. The suggested controller-observer estimates the external torques applied to the robot body without using joint torque measurements and compensates its projection on the task spaces. Asymptotic stability of the task space errors, the null-space velocity and the external interaction estimation error during accomplishing multiple tracking tasks are shown analytically. Finally, the algorithm performance is shown through experiments on a 7-DOF KUKA LWR robot arm.