Title :
Adaptive impedance control in robotic cell injection system
Author :
Hanmei, Wu ; Wenkang, Xu ; Chenxiao, Cai
Author_Institution :
Dept. of Mech. Eng., Nantong Radio & Telev. Univ., Nantong, China
Abstract :
The time-varying force control in cell injection is a difficult work that suffers from low precision, non-repetition and uncontrollable characteristics, especially when the uncertainties from both the robotic model and the injected cells (uncertain environment position and stiffness) are considered. In this paper, a simple adaptive impedance control method combining an inner-loop impedance controller and an outer-loop trajectory tracking algorithm is proposed to cope with the time-varying compliant force control. The time-delayed joint controller is utilized to compensate for the uncertainties in the robust position controller, and in the inner-loop, previous information of certain system parameters are applied to design the adaptive law. Stability and convergence have also been analyzed and simulation studies are shown to verify the effectiveness of the proposed controllers.
Keywords :
adaptive control; adaptive systems; convergence; force control; position control; robots; stability; time-varying systems; adaptive impedance control method; adaptive law; certain system parameters; convergence; injected cells; inner-loop impedance controller; outer-loop trajectory tracking algorithm; robotic cell injection system; robotic model; robust position controller; stability; stiffness; time-delayed joint controller; time-varying compliant force control; time-varying force control; uncertain environment position; Force; Impedance; Robots; Robustness; Stability analysis; Trajectory; Uncertainty; Adaptive impedance control; Automatic cell injection; Robust position control; Uncertainties;
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
Conference_Location :
Miedzyzdrojie
Print_ISBN :
978-1-4673-2121-1
DOI :
10.1109/MMAR.2012.6347876