scholarly journals Enhancing PKM Accuracy by Separating Actuation and Measurement: A 3DOF Case Study

2010 ◽  
Vol 2 (3) ◽  
Author(s):  
David Corbel ◽  
Olivier Company ◽  
Sébastien Krut ◽  
François Pierrot
Keyword(s):  
Machine Tool ◽  
Parallel Machine ◽  
Measuring System ◽  
Parallel Kinematics ◽  
Machine Accuracy ◽  
Control Schemes ◽  
Measurement Concept ◽  
Parallel Machine Tool ◽  
Independent Measuring

This paper proposes an approach for enhancing parallel kinematics machine accuracy by separating actuation and measurement. We describe the interest of the separation actuation and measurement concept and define the sensor redundancy used for designing the measurement device. Then, we present the design of a parallel machine-tool prototype with an independent measuring system, MoM3, as well as the optimization of its measuring system. Lastly, we present the control schemes used on the prototype, and provide experimental results to show the efficiency of separation actuation and measurement applied to a machine-tool.

Study on Machine Accuracy of the Serial-Parallel Machine Tool Based on the BP Neural Network

2009 ◽  
Vol 407-408 ◽  
pp. 140-145
Author(s):  
Xu Ming Pei ◽  
Jie Liu ◽  
Chao Zhang
Keyword(s):  
Neural Network ◽  
Machine Tool ◽  
Bp Neural Network ◽  
Error Compensation ◽  
Degrees Of Freedom ◽  
Simulation Analysis ◽  
Control Strategies ◽  
Parallel Machine ◽  
Machine Accuracy ◽  
Parallel Machine Tool

It were researched that the modeling methods of machine accuracy and the control techniques of the error compensation based on BP neural network(BPNN) for parallel machine tool(PMT)with five degrees of freedom(DOF). The samples are obtained to train the BP neural network which has good capacity for non- liner mapping, learning and generalization. The machine accuracy mathematics model is established for the error compensation, in order to study the nonlinear input and output problem of the parallel machine which difficultly modeling described. The trained neural network was applied to error compensation of PMT to realize modifying errors real-timely. Finally, simulation analysis was performed through the MATLAB software. The results expressed that the control strategies for error compensation were simple, efficient and practicable. Machine accuracy can be increased greatly after compensation.

Oppositely oriented series multiple tuned mass dampers and application on a parallel machine tool

2022 ◽  
Vol 163 ◽  
pp. 108196
Author(s):  
Wenshuo Ma ◽  
Xiaoliang Jin ◽  
Jingjun Yu ◽  
Yiqing Yang ◽  
Xinjun Liu ◽  
...  
Keyword(s):  
Machine Tool ◽  
Parallel Machine ◽  
Tuned Mass Dampers ◽  
Parallel Machine Tool ◽  
Multiple Tuned Mass Dampers

scholarly journals Kinematic analysis of a serial–parallel machine tool: The VERNE machine

2009 ◽  
Vol 44 (2) ◽  
pp. 487-498 ◽  
Author(s):  
Daniel Kanaan ◽  
Philippe Wenger ◽  
Damien Chablat
Keyword(s):  
Machine Tool ◽  
Kinematic Analysis ◽  
Parallel Machine ◽  
Parallel Machine Tool

Experimental Research on Parameters Identification of Dynamic Characteristic for Parallel Machine Tool

2013 ◽  
Vol 300-301 ◽  
pp. 181-184
Author(s):  
Chun Xia Zhu ◽  
Zhi Wen Chen ◽  
Bo Liu ◽  
Jing Wang
Keyword(s):  
Optimal Design ◽  
Theoretical Analysis ◽  
Machine Tool ◽  
Dynamic Characteristic ◽  
Parallel Machine ◽  
Vibration System ◽  
Flexible Coupling ◽  
Vibration Model ◽  
Experiment Method ◽  
Parallel Machine Tool

The dynamic characteristics of parallel 3-TPT machine tool are researched by experiment in this paper. Firstly, modal analysis principle of machine tool was analyzed in theory, and the parameters of dynamic characteristic were identified by theoretical analysis. Then vibration model of parallel machine tool was built and formed vibration system of rigid and flexible coupling for analysis. Then, the modal experiment method and steps were introduced, and the experiment parameters also were identified according to the experiment results. The result dates are showed that the result dates are validated. So the experiment method is feasible by experimental verification, which provides reference for dynamic optimal design.

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