Title :
Dynamic parameter identification of actuation redundant parallel robots: Application to the DualV
Author :
Briot, Sebastien ; Gautier, M. ; Krut, Sebastien
Abstract :
Off-line robot dynamic identification methods are based on the use of the Inverse Dynamic Identification Model (IDIM), which calculates the joint forces/torques (estimated as the product of the known control signal - the input reference of the motor current loop - by the joint drive gains) that are linear in relation to the dynamic parameters, and on the use of linear least squares technique to calculate the parameters (IDIM-LS technique). However, as actuation redundant parallel robots are over-constrained, their IDIM has infinity of solutions for the force/torque prediction, depending on the value of the desired overconstraint that is a priori unknown in the identification process. As a result, the IDIM cannot be used as it. This paper proposes a modified formulation for the IDIM of actuation redundant robots that can be used for identification purpose. This formulation consists of projecting the input torques/forces on the platform coordinates, thus leading to a unique solution of the model that can thus be used in the identification process. The identification of the inertial parameters of a planar parallel robot with actuation redundancy, the DualV, is then carried out using this modified IDIM. Experimental results show the validity of the method.
Keywords :
electric current control; force control; least squares approximations; parameter estimation; redundant manipulators; robot dynamics; signal processing; torque control; DualV; IDIM-LS technique; actuation redundancy; actuation redundant parallel robots; control signal; dynamic parameter identification; dynamic parameters; force/torque prediction; identification process; inertial parameters; inverse dynamic identification model; joint drive gains; linear least squares technique; motor current loop; off-line robot dynamic identification methods; planar parallel robot; Actuators; Joints; Mathematical model; Parallel robots; Redundancy; Vectors;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
Print_ISBN :
978-1-4673-5319-9
DOI :
10.1109/AIM.2013.6584164