KINEMATIC PARAMETER IDENTIFICATION OF PARALLEL ROBOTS FOR SEMI-PHYSICAL SIMULATION PLATFORM OF SPACE DOCKING MECHANISM

Mechanika ◽  
2011 ◽  
Vol 17 (5) ◽  
Author(s):  
Dayong Yu ◽  
Weifang Chen ◽  
Hongren Li
Keyword(s):  
Parameter Identification ◽  
Physical Simulation ◽  
Kinematic Parameter ◽  
Parallel Robots ◽  
Simulation Platform ◽  
Docking Mechanism ◽  
Kinematic Parameter Identification

Kinematic-Parameter Identification for Serial-Robot Calibration Based on POE Formula

2010 ◽  
Vol 26 (3) ◽  
pp. 411-423 ◽  
Author(s):  
Ruibo He ◽  
Yingjun Zhao ◽  
Shunian Yang ◽  
Shuzi Yang
Keyword(s):  
Parameter Identification ◽  
Kinematic Parameter ◽  
Robot Calibration ◽  
Serial Robot ◽  
Kinematic Parameter Identification

Evaluation Of Different Probing Systems Used In Articulated Arm Coordinate Measuring Machines

2014 ◽  
Vol 21 (2) ◽  
pp. 233-246 ◽  
Author(s):  
Agustín Brau ◽  
Margarita Valenzuela ◽  
Jorge Santolaria ◽  
Juan José Aguilar
Keyword(s):  
Parameter Identification ◽  
Kinematic Parameter ◽  
Coordinate Measuring Machines ◽  
Nominal Data ◽  
Measurement Volume ◽  
Spherical Probe ◽  
Active Probe ◽  
System Configurations ◽  
Accuracy And Repeatability ◽  
Kinematic Parameter Identification

Abstract This paper presents a comparison of different techniques to capture nominal data for its use in later verification and kinematic parameter identification procedures for articulated arm coordinate measuring machines (AACMM). By using four different probing systems (passive spherical probe, active spherical probe, self-centering passive probe and self-centering active probe) the accuracy and repeatability of captured points has been evaluated by comparing these points to nominal points materialized by a ball-bar gauge distributed in several positions of the measurement volume. Then, by comparing these systems it is possible to characterize the influence of the force over the final results for each of the gauge and probing system configurations. The results with each of the systems studied show the advantages and original accuracy obtained by active probes, and thus their suitability in verification (active probes) and kinematic parameter identification (self-centering active probes) procedures.

Analysis of Kinematic Parameter Identification Method Based on Genetic Algorithm

2021 ◽  
pp. 119-128
Author(s):  
Jing Yang ◽  
Lingyan Jin ◽  
Zejie Han ◽  
Deming Zhao ◽  
Ming Hu
Keyword(s):  
Genetic Algorithm ◽  
Parameter Identification ◽  
Kinematic Parameter ◽  
Identification Method ◽  
Kinematic Parameter Identification

A Simple Two-step Geometric Approach for the Kinematic Calibration of the 3-PRS Parallel Manipulator

Robotica ◽  
2019 ◽  
Vol 37 (5) ◽  
pp. 837-850
Author(s):  
Genliang Chen ◽  
Lingyu Kong ◽  
Qinchuan Li ◽  
Hao Wang
Keyword(s):  
Parameter Identification ◽  
Parallel Manipulator ◽  
Parallel Manipulators ◽  
Calibration Method ◽  
Kinematic Parameter ◽  
Geometric Constraints ◽  
Kinematic Calibration ◽  
Kinematic Parameters ◽  
Positioning Accuracy ◽  
Kinematic Parameter Identification

SummaryKinematic calibration plays an important role in the improvement of positioning accuracy for parallel manipulators. Based on the specific geometric constraints of limbs, this paper presents a new kinematic parameter identification method for the widely studied 3-PRS parallel manipulator. In the proposed calibration method, the planes where the PRS limbs exactly located are identified firstly as the geometric characteristics of the studied parallel manipulator. Then, the limbs can be considered as planar PR mechanisms whose kinematic parameters can be determined conveniently according to the limb planes identified in the first step. The main merit of the proposed calibration method is that the system error model which relates the manipulator’s kinematic errors to the output ones is not required for kinematic parameter identification. Instead, only two simple geometric problems need to be established for identification, which can be solved readily using gradient-based searching algorithms. Hence, another advantage of the proposed method is that parameter identification of the manipulator’s limbs can be accomplished individually without interactive impact on each other. In order to validate the effectiveness and efficiency of the proposed method, calibration experiments are conducted on an apparatus of the studied 3-PRS parallel manipulator. The results show that using the proposed two-step calibration method, the kinematic parameters can be identified quickly by means of gradient searching algorithm (converge within five iterations for both steps). The positioning accuracy of the studied 3-PRS parallel manipulator has been significantly improved by compensation according to the identified parameters. The mean position and orientation errors at the validation configurations have been reduced to 1.56 × 10−4 m and 1.13 × 10−3 rad, respectively. Further, the proposed two-step kinematic calibration method can be extended to other limited-degree-of-freedom parallel manipulators, if proper geometric constraints can be characterized for their kinematic limbs.

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