Title :
Adaptive observer for the calibration of the force-moment sensor of a space robot
Author :
Parsa, Kourosh ; Aghili, Farhad
Author_Institution :
Spacecraft Eng., Canadian Space Agency, Longueuil, Que.
Abstract :
A procedure for the calibration of the force-moment sensor of a space robot is reported. In terrestrial applications, such sensors can be calibrated by measuring the sensor output while under known static loads, which are most easily applied using known weights. In zero-g environment, such an approach does not work. A viable alternative is to use the dynamic effects of the motion of a carried payload to load the sensor. For a rigid robot, the displacement of the payload can be inferred from joint-angle measurements using the robot kinematics. However, major space robots are structurally flexible, in which case establishing a similar inference is difficult. Therefore, it is assumed here that a payload with known mass properties is handled by the end-effector, and that the payload displacement is measured directly using a laser vision system. Then, considering the end-effector and the payload to be one rigid-body, their dynamics equations, which are the Newton-Euler equations, are used to design an adaptive observer that simultaneously generates estimates of the motion of the body and identities the calibration matrix of the sensor. In this paper, as a first step, the problem would be solved for planar robots. The performance of the adaptive observer would then be evaluated through simulations
Keywords :
Newton method; adaptive control; aerospace robotics; angular measurement; calibration; end effectors; force sensors; mobile robots; observers; robot kinematics; Newton-Euler equations; adaptive observer; calibration; end-effector; force-moment sensor; joint-angle measurements; laser vision system; robot kinematics; space robot; static loads; Calibration; Displacement measurement; Equations; Machine vision; Motion estimation; Orbital robotics; Payloads; Robot kinematics; Robot sensing systems; Transmission line matrix methods;
Conference_Titel :
Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9505-0
DOI :
10.1109/ROBOT.2006.1641946