A new observer-based adaptive controller for cooperative handling of an unknown object. Issue 7 (12th September 2014)

• Record Type: Journal Article
• Authors: Monfaredi, Reza; Rezaei, S. Mehdi; Talebi, Ali
• Is Part Of: Robotica. Volume 34:Issue 7(2016)
• Page Start: 1437
• Page End: 1463
• Publication Date: 2014-09-12
• Subjects: Cooperative robotic system, -- Unknown object, -- Dynamic uncertainty, -- Kinematic uncertainty, -- Observer-based adaptive control; Robots -- Periodicals; 629.89205
• DOI: 10.1017/S0263574714002379
• Languages: English
• ISSNs: 0263-5747

Abstract

SUMMARY: This paper presents a new observer-based adaptive controller for handling an object with unknown geometry, center of mass, and inertia using a cooperative robotic system. The cooperative robotic system comprises three Cartesian robots, where robots and the grasped object form a closed-loop kinematic chain. The unknown object is approximated by three virtual links of unknown lengths rigidly attached to one another at the object's center of mass (COM). Due to the unknown COM and unknown inertia of the object, the lengths and inertia of these virtual links are unknown, resulting in kinematic and dynamic uncertainties in the control system. A parameter estimator is proposed to estimate the object's COM to compensate for kinematic uncertainties of the system. Moreover, a new dynamic adaptation law is developed to cope with dynamic uncertainties of the object. The dynamic equations of the cooperative system are transformed from joint space into task space. These task space dynamics are transformed into object space by passively decomposing the dynamics into two decoupled systems, i.e. locked and shaped systems. An adaptive controller is developed for the locked system, and the shaped system is controlled by a composite controller based on a PD controller plus a stabilizing damping term. The stability of the proposed controllers is shown using the passivity concept and Lyapunov theorem. Simulation results show that the closed-loop position error asymptotically converges to zero. It is also shown that kinematic and dynamic adaptation parameters converge to real and bounded values respectively.